COAST Autonomous to deploy first self-driving vehicles at rail yard

PASADENA, Calif. — COAST Autonomous today announced that Harbor Rail Services of California has selected it to deploy self-driving vehicles at the Kinney County Railport in Texas.

This groundbreaking collaboration is the first deployment of self-driving vehicles at a U.S. rail yard, said the companies. Harbor Rail and COAST teams have identified a number of areas where autonomous vehicles can add value, including staff transportation, delivery of supplies and equipment, perimeter security, and lawn mowing.

COAST Autonomous is a software and technology company focused on delivering autonomous vehicle (AV) solutions at appropriate speeds for urban and campus environments. COAST said its mission is to build community by connecting people with mobility solutions that put pedestrians first and give cities back to people.

COAST has developed a full stack of AV software that includes mapping and localization, robotics and artificial intelligence, fleet management and supervision systems. Partnering with proven manufacturers, COAST said it can provide a variety of vehicles equipped with its software to offer Mobility-as-a-Service (MaaS) to cities, theme parks, campuses, airports, and other urban environments.

The company said its team has experience and expertise in all aspects of implementing and operating AV fleets while prioritizing safety and the user experience. Last year, the company conducted a demonstration in New York’s Times Square.

Harbor Rail operates railcar repair facilities across the U.S., including the Kinney County Railport (KCRP), a state-of-the-art railcar repair facility that Harbor Rail operates near the U.S.-Mexico border. KCRP is located on 470 acres of property owned by Union Pacific, the largest railroad in North America. The facility prepares railcars to meet food-grade guidelines, so they are ready to be loaded with packaged beer in Mexico and return to the U.S. with product for distribution.

COAST completes mapping, ready to begin service

COAST has completed 3D mapping of the facility, a first step in any such deployment, and the first self-driving vehicle is expected to begin service at KCRP next month.

“Through the introduction of re-designed trucks, innovative process improvements and adoption of data-driven KPIs [key performance indicators], Harbor Rail successfully reduced railcar rejections rates from 30% to 0.03% in KCRP’s first year of operations,” said Mark Myronowicz, president of Harbor Rail. “However, I am always looking for ways to improve our performance and provide an even better service for our customers.”

COAST Autonomous to deploy first self-driving vehicles at rail yard

Source: COAST Autonomous

“At a large facility like KCRP, we have many functions that I am convinced can be carried out by COAST vehicles,” Myronowicz said. “This will free up additional labor to work on railcars, make us even more efficient, help keep the facility safe at night, and even cut the grass when most of us are asleep. This is a fantastic opportunity to demonstrate Harbor Rail’s commitment to being at the forefront of innovation and customer service.”

“This is an exciting moment for COAST, and we are looking forward to working with Harbor Rail’s industry-leading team,” said David M. Hickey, chairman and CEO of COAST Autonomous. “KCRP is exactly the type of facility that will show how self-driving technology can improve efficiency and cut costs.”

“While the futuristic vision of driverless cars has grabbed most of the headlines, COAST’s team has been focused on useful mobility solutions that can actually be deployed and create tremendous value for private sites, campuses, and urban centers,” he said. “Just as railroads are often the unsung heroes of the logistics industry, COAST’s vehicles will happily go about their jobs unnoticed and quietly change the world.”

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Perrone Robotics begins pilot of first autonomous public shuttle in Virginia

ALBEMARLE COUNTY, Va. — Perrone Robotics Inc., in partnership with Albemarle County and JAUNT Inc., last week announced that Virginia’s first public autonomous shuttle service began pilot operations in Crozet, Va.

The shuttle service, called AVNU for “Autonomous Vehicle, Neighborhood Use,” is driven by Perrone Robotics’ TONY (TO Navigate You) autonomous shuttle technology applied to a Polaris Industries Inc. GEM shuttle. Perrone Robotics said its Neighborhood Electric Vehicle (NEV) shuttle has industry-leading perception and guidance capabilities and will drive fully autonomously (with safety driver) through county neighborhoods and downtown areas on public roads, navigating vehicle, and pedestrian traffic. The base GEM vehicle meets federal safety standards for vehicles in its class.

“With over 33,000 autonomous miles traveled using our technology, TONY-powered vehicles bring the highest level of autonomy available in the world today to NEV shuttles,” said Paul Perrone, founder/CEO of Perrone Robotics. “We are deploying an AV platform that has been carefully refined since 2003, applied in automotive and industrial autonomy spaces, and now being leveraged to bring last-mile services to communities such as those here in Albemarle County, Va. What we deliver is a platform that operates shuttles autonomously in complex environments with roundabouts, merges, and pedestrian-dense areas.”

The TONY-based AVNU shuttle will offer riders trips within local residential developments, trips to connect neighborhoods, and connections from these areas to the downtown business district.

Polaris GEM partner of Perrone Robotics

Perrone Robotics provides autonomy for Polaris GEM shuttles. Source: Polaris Industries

More routes to come for Perrone AVNU shuttles

After the pilot phase, additional routes will be demonstrate Albemarle County development initiatives such as connector services for satellite parking. They will also connection with JAUNT‘s commuter shuttles, also targeted for autonomous operation with TONY technology.

“We have seen other solutions out there that require extensive manual operation for large portions of the course and very low speeds for traversal of tricky sections,” noted Perrone.  “We surpass these efforts by using our innovative, super-efficient, and completely novel and patented autonomous engine, MAX®, that has over 16 years of engineering and over 33,000 on and off-road miles behind it. We also use AI, but as a tool, not a crutch.”

“It is with great pleasure that we launch the pilot of the next generation of transportation — autonomous neighborhood shuttles — here in Crozet,” said Ann MallekWhite Hall District Supervisor. “Albemarle County is so proud to support our home town company, Perrone Robotics, and work with our transit provider JAUNT, through Smart Mobility Inc., to bring this project to fruition.”

Perrone said that AVNU is electrically powered, so the shuttle is quiet and non-polluting, and it uses solar panels to significantly extend system range. AVNU has been extensively tested by Perrone Robotics, and testing data has been evaluated by Albemarle County and JAUNT prior to launch.

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Smart manufacturing trends analyzed in GP Bullhound report

Smart manufacturing trends analyzed in new GP Bullhound report

Smart manufacturing investments. Source: GP Bullhound

Continuing improvements in software and hardware are leading to trends such as Manufacturing-as-a-Service, hyper-personalization of products on demand, and a reinvention of the capital goods economy, found a new study. Last month, GP Bullhound issued a new report titled “Smart Manufacturing: The Rise of the Machines.”

The report provided a global, in-depth look at how smart manufacturing gained momentum between 2013 and 2018. It also drew conclusions about the potential future for manufacturing in terms of growth, investment, and the value of data. With robotics still largely serving manufacturing, engineers can get a glimpse of trends for which to prepare.

GP Bullhound reviewed the value of smart manufacturing transactions. China and Japan have led in smart manufacturing, with a market value of $28 billion, according to the technology advisory and investment firm. Europe followed with $24 billion, and the U.S. lagged at $20 billion.

The report found 1,300 venture capital transactions worldwide, worth a total of $17.4 billion. The U.S. led in investments, with American startups receiving $11.4 billion, compared with $3.9 billion in Asia and $2.1 billion in Europe. GP Bullhound also found $37.7 billion in mergers and acquisitions during the five-year period.

Venture funding in smart manufacturing by region

Sources: Pitchbook, Capital IQ, company websites, press releases, GP Bullhound

In addition, the report noted that data is growing in value, despite debates over how and whether production should be automated.

Dr. Nikolas Westphal, director at GP Bullhound, answered several questions from The Robot Report about the study’s findings:

Whether we call it “smart manufacturing,” “Industry 4.0,” or something else, the combination of machine learning, big data, the Internet of Things (IoT), and robotics is arriving, according to your report. But how ready are most companies — especially those outside the electronics and automotive verticals — for it?

Westphal: Smart manufacturing readiness is something that we discussed with several of our interview partners, including interviewees from leading European software houses and IoT platforms.

The current state seems to be that most OEMs are substantially increasing the density of IoT devices within their equipment in order to make it “smart” and are also working on the required digital platforms. As “smart” equipment proliferates, more and more manufacturing operators of all sizes will start to increasingly use methodologies of smart manufacturing.

Annual data creation in smart manufacturing

Source: GP Bullhound

When it comes to digitization by industry, our research indeed indicates that electronics and automotive are furthest down the line on the journey to end-to-end digitization. In general, I would say that today, industries with the highest scale effects are also the most automated. With the emergence of smaller, more flexible robotic equipment — such as collaborative robots, additive manufacturing, and data-driven factory design — we believe that also smaller players will be able to reap the rewards of smart automation.

Some of the companies featured in our report actually address this challenge for companies of all sizes. One example for this is Oden Technologies, which is featured in Section 2 of our report.

Investments in robotics and startups have slowed in the past quarter, but do you think that’s temporary and why?

Westphal: Quarterly VC funding data is notoriously hard to interpret, as it follows transaction cycles. Applying our search criteria for smart manufacturing startups, global VC funding in smart manufacturing in Q1 2019 has stood at €1.02 billion ($1.14 billion U.S.) across 73 deals versus €1.07 billion ($1.2 billion U.S.) in Q4 2018 [Source: Pitchbook]. As there is somewhat of a reporting lag, I expect the Q1 2019 figure to be gradually adjusted upward throughout the year.

Global smart manufacturing trends

Source: GP Bullhound

How might a cyclical economic recession affect spending on industrial automation and smart manufacturing?

Westphal: I believe that a recession may not necessarily long-term impact investments into industrial automation specifically.  While replacement cycles may somewhat slow, efficiency will be increasingly important in a recession situation.

The section on productivity gains from smart manufacturing cites Volvo as an example. How is Volvo’s use of robots part of a technology cluster?

Westphal: The tables and the case studies were supplied by our feature partner Accenture. On the left-hand side of both Figure 1 and 2, you can see the different relevant technologies, on the right-hand side different industry verticals. The percentages indicate the incremental cost savings per employee in Figure 1 as well as the projected implied additional gains in market capitalization in Figure 2.

For example, in automotive, autonomous robots and AI seem to have the biggest impact, in addition to 3D printing, blockchain, and big data. Overall, Accenture believes that the combinatory effect of these technologies will add up to incremental cost savings per employee of 13.9% for automotive.

How much is simulation software being applied to the design and implementation of robotics? How far are we from “lights-out” manufacturing? 

Westphal: This question is addressed to some extent by the feature of Brian Mathews of Bright Machines. Once the computer vision and control challenges have been addressed, lights out manufacturing should become a reality.

Design and simulation in smart manufacturing

Source: GP Bullhound

Several robotics vendors have told us that they want to “keep humans in the loop,” so what sorts of processes are better for collaboration vs. full autonomy with “software-defined” manufacturing?

Westphal: From our interviews on the topic, it seems to me that high-volume, repetitive, but complex processes that require a high degree of accuracy are well-suited for full autonomy, while processes that require a high degree of versatility are better suited for collaboration.

In noteworthy mergers and acquisitions, why was Teradyne’s acquisition of Universal Robots included but not the creation of OnRobot or Honeywell‘s purchase of Intelligrated. Was there a reason for the omissions?

Westphal: The Teradyne-Universal Robots deal is featured on p. 33. Honeywell/Intelligrated is part of our database but not featured in the selected landmark transactions. We have not only selected those by size, but also other criteria like sector fit and visibility.

The creation of OnRobot is not shown in Section 3 as we weren’t able to find publicly available data on funding amount. OnRobot itself is featured as a notable company on p. 63 of the report.

Will trade tensions between the West and China slow the trend to cross-border consolidation?

Westphal: It seems that Chinese outbound investment is really geared towards utilizing technologies in China’s huge manufacturing sector. Especially as Europe does not seem to engage in restrictive trade policies with China (yet), I would expect this trend to continue.

Cross-border deals in smart manufacturing

Cross-border deals. Source: GP Bullhound

Since GP Bullhound is watching investments in hardware and the software stack around smart manufacturing, has it identified any strategic leaders?

Westphal: We don’t provide investment advice. A selection of companies that we find interesting can be found on p. 62 and 63 of the report.

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Challenges of building haptic feedback for surgical robots


Minimally invasive surgery (MIS) is a modern technique that allows surgeons to perform operations through small incisions (usually 5-15 mm). Although it has numerous advantages over older surgical techniques, MIS can be more difficult to perform. Some inherent drawbacks are:

  • Limited motion due to straight laparoscopic instruments and fixation enforced by the small incision in the abdominal wall
  • Impaired vision, due the two-dimensional imaging
  • Usage of long instruments amplifies the effects of surgeon’s tremor
  • Poor ergonomics imposed to the surgeon
  • Loss of haptic feedback, which is distorted by friction forces on the instrument and reactionary forces from the abdominal wall.

Minimally Invasive Robotic Surgery (MIRS) offers solutions to either minimize or eliminate many of the pitfalls associated with traditional laparoscopic surgery. MIRS platforms such as Intuitive Surgical’s da Vinci, approved by the U.S. Food and Drug Administration in 2000, represent a historical milestone of surgical treatments. The ability to leverage laparoscopic surgery advantages while augmenting surgeons’ dexterity and visualization and eliminating the ergonomic discomfort of long surgeries, makes MIRS undoubtedly an essential technology for the patient, surgeons and hospitals.

However, despite all improvements brought by currently commercially available MIRS, haptic feedback is still a major limitation reported by robot-assisted surgeons. Because the interventionist no longer manipulates the instrument directly, the natural haptic feedback is eliminated. Haptics is a conjunction of both kinesthetic (form and shape of muscles, tissues and joints) as well as tactile (cutaneous texture and fine detail) perception and is a combination of many physical variables such as force, distributed pressure, temperature and vibration.

Direct benefits of sensing interaction forces at the surgical end-effector are:

  • Improved organic tissue characterization and manipulation
  • Assessment of anatomical structures
  • Reduction of sutures breakage
  • Overall increase on the feeling of assisted robotics surgery.

Haptic feedback also plays a fundamental role in shortening the learning curve for young surgeons in MIRS training. A tertiary benefit of accurate real-time direct force measurement is that the data collected from these sensors can be utilized to produce accurate tissue and organ models for surgical simulators used in MIS training. Futek Advanced Sensor Technology, an Irvine, Calif.-based sensor manufacturer, shared these tips on how to design and manufacture haptic sensors for surgical robotics platforms.

With a force, torque and pressure sensor enabling haptic feedback to the hands of the surgeon, robotic minimally invasive surgery can be performed with higher accuracy and dexterity while minimizing trauma to the patient. | Credit: Futek

Technical and economic challenges of haptic feedback

Adding to the inherent complexity of measuring haptics, engineers and neuroscientists also face important issues that require consideration prior to the sensor design and manufacturing stages. The location of the sensing element, which significantly influences the measurement consistency, presents MIRS designers with a dilemma: should they place the sensor outside the abdomen wall near the actuation mechanism driving the end-effector (a.k.a. Indirect Force Sensing), or inside the patient at the instrument tip, embedded on the end-effector (a.k.a. Direct Force Sensing).

The pros and cons of these two approaches are associated with measurement accuracy, size restrictions and sterilization and biocompatibility requirements. Table 1 compares these two force measurement methods.

In the MIRS applications, where very delicate instrument-tissue interaction forces need to give precise feedback to the surgeon, measurement accuracy is sine qua non, which makes intra-abdominal direct sensing the ideal option.

However, this novel approach not only brings the design and manufacturing challenges described in Table 1 but also demands higher reusability. Commercially available MIRS systems that are modular in design allow the laparoscopic instrument to be reutilized approximately 12 to 20 times. Adding the sensing element near to the end-effector invariably increases the cost of the instrument and demands further consideration during the design stage in order to enhance sensor reusability.

Appropriate electronic components, strain measurement method and electrical connections have to withstand additional autoclavable cycles as well as survive a high PH washing. Coping with these special design requirements invariably increases the unitary cost per sensor. However, extended lifespan and number of cycles consequently reduces the cost per cycle and brings financial affordability to direct measurement method.

Hermeticity of high precision sub-miniature load sensing elements is equally challenging to intra-abdominal direct force measurement. The conventional approach to sealing electronic components is the adoption of conformal coatings, which are extensively used in submersible devices. As much as this solution provides protection in low-pressure water submersion environments for consumer electronics, coating protection is not sufficiently airtight and is not suitable for high-reliability medical, reusable and sterilizable solutions.

Under extreme process controls, conformal coatings have shown to be marginal and provide upwards of 20 to 30 autoclave cycles. The autoclave sterilization process presents a harsher physicochemical environment using high pressure and high temperature saturated steam. Similar to helium leak detection technology, saturated steam particles are much smaller in size compared to water particles and are capable of penetrating and degrading the coating over time causing the device to fail in a hardly predictable manner.

An alternative and conventional approach to achieving hermeticity is to weld on a header interface to the sensor. Again, welding faces obstacles in miniaturized sensors due to its size constraints. All in all, a novel and robust approach is a monolithic sensor using custom formulated, Ct matched, chemically neutral, high temperature fused isolator technology used to feed electrical conductors through the walls of the hermetically sealed active sensing element. The fused isolator technology has shown reliability in the hundreds to thousands of autoclave cycles.


The Robot Report launched the Healthcare Robotics Engineering Forum (Dec. 9-10 in Santa Clara, Calif.). The conference and expo focuses on improving the design, development and manufacture of next-generation healthcare robots. The Healthcare Robotics Engineering Forum is currently accepting speaking proposals through July 26, 2019. To submit a proposal, fill out this form.


Other design considerations for haptic feedback

As aforementioned, miniaturization, biocompatibility, autoclavability and high reusability are some of the unique characteristics imposed to a haptic sensor by the surgical environment. In addition, it is imperative that designers also meet requirements that are inherent to any high-performance force measurement device.

Extraneous loads (or crosstalk) compensation, provides optimal resistance to off-axis loads to assure maximum operating life and minimize reading errors. Force and torque sensors are engineered to capture forces along the Cartesian axes, typically X, Y and Z. From these three orthogonal axes, one to six measurement channels derives three force channels (Fx, Fy and Fz) and three torque or moment channels (Mx, My and Mz). Theoretically, a load applied along one of the axes should not produce a measurement in any of the other channels, but this is not always the case. For a majority of force sensors, this undesired cross-channel interference will be between 1 and 5% and, considering that one channel can capture extraneous loads from five other channels, the total crosstalk could be as high as 5 to 25%.

In robotic surgery, the sensor must be designed to negate the extraneous or cross-talk loads, which include frictions between the end-effector instrument and trocar, reactionary forces from the abdominal wall and gravitational effect of mass along the instrument axis. In some occasions, miniaturized sensors are very limited in space and have to compensate side loads using alternate methods such as electronic or algorithmic compensation.

haptic sensorsCalibration of direct inline force sensor imposes restrictions as well. The calibration fixtures are optimized with SR buttons to direct load precisely through the sensor of the part. If the calibration assembly is not equipped with such arrangements, the final calibration might be affected by parallel load paths.

Thermal effect is also a major challenge in strain measurement. Temperature variations cause material expansion, gage factor coefficient variation and other undesirable effects on the measurement result. For this reason, temperature compensation is paramount to ensure accuracy and long-term stability even when exposed to severe ambient temperature oscillations.

The measures to counteract temperature effects on the readings are:

  • The use of high-quality, custom and self-compensated strain gages compatible with the thermal expansion coefficient of the sensing element material
  • Use of half or full Wheatstone bridge circuit configuration installed in both load directions (tension and compression) to correct for temperature drift
  • Fully internally temperature compensation of zero balance and output range without the necessity of external conditioning circuitry.

In some special cases, the use of custom strain gages with reduced solder connections helps reduce temperature impacts from solder joints. Usually, a regular force sensor with four individual strain gages has upwards of 16 solder joints, while custom strain elements can reduce this down to less than six. This design consideration improves reliability as the solder joint, as an opportunity for failure, is significantly reduced.

During the design phase, it is also imperative to consider such sensors to meet high reliability along with high-volume manufacturability, taking into consideration the equipment and processes that will be required should a device be designated for high-volume manufacturing. The automated, high-volume processes could be slightly or significantly different than the benchtop or prototype equipment used for producing lower volumes. The scalability must maintain focus on reducing failure points during the manufacturing process, along with failure points that could occur on the field.

Testing for medical applications is more related to the ability of a measurement device that can withstand a high number of cycles rather than resist to strenuous structural stress. In particular for medical sensors, the overload and fatigue testing must be performed in conjunction with the sterilization testing in an intercalated process with several cycles of fatigue and sterilization testing. The ability to survive hundreds of overload cycles while maintaining hermeticity translates into a failure-free, high- reliability sensor with lower MTBF and more competitive total cost of ownership.

haptic sensors

Credit: Futek

Product development challenges

Although understanding the inherent design challenges of the haptic autoclavable sensor is imperative, the sensor manufacturer must be equipped with a talented multidisciplinary engineering team, in-house manufacturing capabilities supported by fully developed quality processes and product/project management proficiency to handle the complex, resource-limited, and fast-paced new product development environment.

A multidisciplinary approach will result in a sensor element that meets the specifications in terms of nonlinearity, hysteresis, repeatability and cross-talk, as well as an electronic instrument that delivers analog and digital output, high sampling rate and bandwidth, high noise-free resolution and low power consumption, both equally necessary for a reliable turnkey haptics measurement solution.

Strategic control of all manufacturing processes (machining, lamination, wiring, calibration), allows manufacturers to engineer sensors with a design for manufacturability (DFM) mentality. This strategic control of manufacturing boils down to methodically selecting the bill of material, defining the testing plans, complying with standards and protocols and ultimately strategizing the manufacturing phase based on economic constraints.

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MiR500 mobile robot helps Cabka automate pallet transport


Germany-based Cabka Group recycles post-industrial plastics into pallets and other material handling products. Cabka North America’ 400,000-square-foot plant in the St. Louis, Missouri area runs 24/7 to manufacture about 5,000 pallets per day.

But Cabka is challenged by labor shortages due to high turnover of temporary workers, which leads to expensive downtime. At Cabka North America’s facility, workers at eleven injection molding machines unload plastic pallets and manually trim and stack them for material handlers to transport to the warehouse using fork trucks or pallet jacks. The work is repetitive and physical, making it hard to retain workers, and the presence of fork trucks on the production floor leads to safety concerns.

However, a new, fully automated production line that will be replicated throughout the facility is helping minimize dependency on temporary workers while also improving product quality and worker safety.

A Mobile Industrial Robots MiR500 autonomous mobile robot is part of that fully automated production line. The production line also includes a Krauss Maffei six-axis robot to autonomously unload pallets from the injection molding machine, trim the pallets, and load the finished products directly onto the MiR500. The MiR500, which is equipped with a MiR pallet lift, transports the finished products out of the manufacturing floor to a separate staging area as soon as the job is complete.

In the staging area, the pallets can be checked for quality and wrapped. Fork trucks then transport the finished pallets to the warehouse and loading docks without having manufacturing workers present. This will allow Cabka to eliminate fork truck traffic in the production area, replacing them with safe, collaborative mobile robots.

MiR500

Cabka North America uses a MiR500 autonomous mobile robot to transport plastic pallets. | Credit: Mobile Industrial Robots

Pilot project leads to fully optimized production

The fully automated production line is intended to be the model for the eventual automation of all eleven production lines, with a fleet of MiR robots supporting them in a dynamic, highly efficient manufacturing floor. Each AMR can go where it’s needed when it’s needed to keep production flowing.

Cabka estimates the first MiR500 travels about three miles a day supporting one production line. With eleven lines planned for autonomous material transport with multiple MiR robots, workers and fork truck drivers will be relieved from many miles of manual material handling, allowing Cabka to redeploy those workers to higher-value tasks.

“With the MiR500, we are very happy with the payload,” said Cabka project technician Craig Bossler. “It’s handled everything that we can stack on top of it. We haven’t found out how high we can go yet. It’s very stable — it can make turns, go straight, and it can hit bumps, and it’s always very stable. The MiR definitely can handle all the imperfections in the floor.”

MiR500

Production of MiR5000 autonomous mobile robots. The company says 40 percent of its sales has gone to the U.S. | Credit: Mobile Industrial Robots

Adding more MiR500 mobile robots

Cabka North America is looking at other ways to use the MiR robots, including prepping orders overnight in the warehouse so they will be ready at the dock for loading in the morning. Patrick Garin, president of Cabka North America, anticipates that other Cabka locations will be following the North American facility’s lead.

“We always have our corporate people come here – our corporate CEO and the other part of the team – and they will definitely be very interested in seeing our progress here,” he said.

Teradyne Inc. of North Reading, Mass., recently acquired Mobile Industrial Robots of Odense, Denmark. Three years ago, Teradyne also purchased another Danish automation company, collaborative robot maker Universal Robots.

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Toolcraft turns to UR e-Series cobots to save on production, increase throughput

Toolcraft Inc., a small precision machining shop in Seattle, makes parts for industries including aerospace, defense, and medical. It needed help tending its CNC machine and ultimately turned to Universal Robots A/S’s e-Series collaborative robots.

Faced with labor shortages and a demanding manufacturing task, Toolcraft assessed its alternatives and worked with an integrator to apply a UR5e cobot to its process.

Challenge

Toolcraft needed to automate a three-step task to keep up with production demands, especially when a large medical device required it to add a third shift for round-the-clock operations. Finding workers is difficult in a region with 3% unemployment.

UR5e Toolcraft case study

“Nobody wants to run on third shift around here,” said Steve Wittenberg, director of operations at Toolcraft. “When you put an ad out, you’re not getting very many responses.”

The company initially looked at traditional industrial robots but realized that it would have to add costly safety infrastructure.

“If we looked at just the robot hardware alone, that appeared to be a more cost-effective solution,” Wittenberg said. “But once we started factoring in the savings on not having to erect a safety cage – and the time saved on the ease of use, avoiding a lot of complex programming – Universal Robots ended up being the right solution.”

Solution

Toolcraft discussed its need for loading a medical device part into a CNC machine for multi-threading with Rapid Design Solutions, a certified systems integrator for UR cobots.

“When we heard that the repeatability of the UR5e was down to 30 microns, we were very excited,” said Troy Ojalehto, owner of Rapid Design Solutions. “That really competes in the same space as traditional industrial robots, so that was huge for us. I have not seen other cobots handling this level of precision with multi-op parts like this, with raw stock going in and completed precision parts coming out.”

Thanks to its force-feedback feature, the UR5e is able to make the part fit tightly in the CNC fixturing. “Using the force motion with freedom in the X,Y and rotational Z axes, we can force the part in there, and wiggle it, and program that compliance very easily to enable basically a human touch with the robot,” he said.

The UR+ program, which certifies that accessories such as grippers, vision systems, and software will work with UR cobots, helped speed up integration.

“For this application, we chose a Pneu-Connect pneumatic gripper,” said Ojalehtos. “A big factor is that it’s UR+ certified, which means it works with Universal right out of the box, with all gripper software integrated directly on the UR teach pendant, eliminating the need to do any script coding.”

PneuConnect gripper at Toolcraft

Toolcraft chose the UR+ certified PneuConnect gripper, which works seamlessly with UR’s teach pendant. Source: Universal Robotics

Results at Toolcraft

“Some of the benefits we’ve seen right off were a significant production increase,” said Wittenberg. “We were able to staff that third shift and went from producing 255 parts a week to 370 parts per week. Along with that, we’re able to finish our year’s production seven weeks sooner, thus freeing up that machine to produce parts on other jobs.”

After six months, Toolcraft saw costs decline by 23%, and it now expects a return on investment on the cobot arm at about 12 months.

“We’re going to be able to be more competitive on a lot of the long-term work that we have,” Wittenberg said.

Since the UR5e cobot only tends parts for six minutes out of a 56-minute cycle, a Toolcraft engineer added a part rinsing and cleaning station after using Universal Robots‘ online training.

“After our automation engineer took the online UR Academy, he spent a few hours with the integrator and was able to add that station to the cobot cycle with no external help otherwise,” said Wittenberg. Universal Robots’ simulator also allowed Toolcraft to program most of the additional tasks without taking the cobot offline.

Toolcraft worked with integratos

After certified systems integrator Troy Ojalehto (right) developed the initial application, Toolcraft automation engineer Brian Laulainen (left) was able to handle daily operations and build add-ons for the UR5e after training through the UR Academy. Source: Universal Robots

In addition, the company was easily able to use Universal Robots‘ I/O interfaces to control the pneumatic fixture and door actuators. “This greatly reduces the need for CNC wiring and preserves all the CNC’s standard safety functions,” Ojalehto said.

The installation has been so successful that Toolcraft is planning to install one cobot every year. “The fact that our own automation engineer is now able to go in and troubleshoot anything that comes up is going to be key in us meeting this goal,” Wittenberg said.

Toolcraft plans to automate tending a horizontal mill next. “That’s a potential challenge because of the mills using rotary tombstones that are swapped in and out of the milling machine, which creates some difficulties with fixturing,” said Wittenberg. “But we’re confident we can solve those using a Universal Robot and some innovation in fixturing.”

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Multi-tool mount enables 1 UR e-Series cobot to use 3 grippers


New Scale Robotics (NSR) has announced the first multi-tool mounting system for Universal Robots (UR) e-Series cobots. The NSR-MTM-3-URe Multi-Tool Mount (NSR-MTM) allows users to mount and control up to three grippers or other tools on one UR e-Series cobot.

The NSR-MTM System allows users to quickly set up and perform multiple processes with one robot. Benefits include:

  • Higher throughput in small part handling and inspection tasks.
  • Fewer large moves, for reduced cycle times without compromising safety.
  • The ability to automate more processes with fewer robots.

The NSR-MTM System includes both hardware and software. With low mass and small size, the hardware is compatible with UR’s smallest UR3e cobot. The integrated Freedrive button enables one-handed positioning to teach and set positions. The software enables fast setup and easy programming of up to three devices in one user interface on the UR teach pendant.

New Scale Robotics NSR-MTM-3-URe Multi-Tool Mount. | Credit: New Scale Robotics

NSR Devices Software is a new URCaps plugin for UR e-Series robots. Users can quickly add multiple tools to the single user interface, build tool processes with a few clicks, and run complex automation or inline inspection programs with ease. Other smart features include dynamic adjustment of tool center of gravity depending on mass of object picked.

The MTM hardware mounts to the UR robot tool flange with four screws and one connector to the internal tool port. Up to three tools are mounted on the MTM faces using the standard ISO 9409-1-50-4-M6 interfaces and M8 round connector. The MTM mount uses power and RS485 signals from the robot’s internal cables and slip rings. No external cables are required.

Applications include small part picking, movement, measurement, data logging, sorting and assembly. Used with the small and precise grippers from New Scale Robotics, the NSR-MTM System allows increased productivity from multiple tools while still fitting in the tightest spaces.

NSR Devices Software is a new URCaps plugin for UR e-Series robots. | Credit: New Scale Robotics

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Electronic skin could give robots an exceptional sense of touch


electronic skin

The National University of Singapore developed the Asynchronous Coded Electronic Skin, an artificial nervous system that could give robots an exceptional sense of touch. | Credit: National University of Singapore.

Robots and prosthetic devices may soon have a sense of touch equivalent to, or better than, the human skin with the Asynchronous Coded Electronic Skin (ACES), an artificial nervous system developed by researchers at the National University of Singapore (NUS).

The new electronic skin system has ultra-high responsiveness and robustness to damage, and can be paired with any kind of sensor skin layers to function effectively as an electronic skin.

The innovation, achieved by Assistant Professor Benjamin Tee and his team from NUS Materials Science and Engineering, was first reported in prestigious scientific journal Science Robotics on 18 July 2019.

Faster than the human sensory nervous system

“Humans use our sense of touch to accomplish almost every daily task, such as picking up a cup of coffee or making a handshake. Without it, we will even lose our sense of balance when walking. Similarly, robots need to have a sense of touch in order to interact better with humans, but robots today still cannot feel objects very well,” explained Asst Prof Tee, who has been working on electronic skin technologies for over a decade in hopes of giving robots and prosthetic devices a better sense of touch.

Drawing inspiration from the human sensory nervous system, the NUS team spent a year and a half developing a sensor system that could potentially perform better. While the ACES electronic nervous system detects signals like the human sensor nervous system, unlike the nerve bundles in the human skin, it is made up of a network of sensors connected via a single electrical conductor.. It is also unlike existing electronic skins which have interlinked wiring systems that can make them sensitive to damage and difficult to scale up.

Elaborating on the inspiration, Asst Prof Tee, who also holds appointments in the NUS Electrical and Computer Engineering, NUS Institute for Health Innovation & Technology, N.1 Institute for Health and the Hybrid Integrated Flexible Electronic Systems programme, said, “The human sensory nervous system is extremely efficient, and it works all the time to the extent that we often take it for granted. It is also very robust to damage. Our sense of touch, for example, does not get affected when we suffer a cut. If we can mimic how our biological system works and make it even better, we can bring about tremendous advancements in the field of robotics where electronic skins are predominantly applied.”

Related: Challenges of building haptic feedback for surgical robots

ACES can detect touches more than 1,000 times faster than the human sensory nervous system. For example, it is capable of differentiating physical contact between different sensors in less than 60 nanoseconds – the fastest ever achieved for an electronic skin technology – even with large numbers of sensors. ACES-enabled skin can also accurately identify the shape, texture and hardness of objects within 10 milliseconds, ten times faster than the blinking of an eye. This is enabled by the high fidelity and capture speed of the ACES system.

The ACES platform can also be designed to achieve high robustness to physical damage, an important property for electronic skins because they come into the frequent physical contact with the environment. Unlike the current system used to interconnect sensors in existing electronic skins, all the sensors in ACES can be connected to a common electrical conductor with each sensor operating independently. This allows ACES-enabled electronic skins to continue functioning as long as there is one connection between the sensor and the conductor, making them less vulnerable to damage.

The ACES developed by Asst. Professor Tee (left) and his team responds 1000 times faster than the human sensory nervous system. | Credit: National University of Singapore

Smart electronic skins for robots and prosthetics

ACES has a simple wiring system and remarkable responsiveness even with increasing numbers of sensors. These key characteristics will facilitate the scale-up of intelligent electronic skins for Artificial Intelligence (AI) applications in robots, prosthetic devices and other human machine interfaces.

<strong>Related:</strong> <a href=”https://www.therobotreport.com/university-of-texas-austin-patent-gives-robots-ultra-sensitive-skin/”>UT Austin Patent Gives Robots Ultra-Sensitive Skin</a>

“Scalability is a critical consideration as big pieces of high performing electronic skins are required to cover the relatively large surface areas of robots and prosthetic devices,” explained Asst Prof Tee. “ACES can be easily paired with any kind of sensor skin layers, for example, those designed to sense temperatures and humidity, to create high performance ACES-enabled electronic skin with an exceptional sense of touch that can be used for a wide range of purposes,” he added.

For instance, pairing ACES with the transparent, self-healing and water-resistant sensor skin layer also recently developed by Asst Prof Tee’s team, creates an electronic skin that can self-repair, like the human skin. This type of electronic skin can be used to develop more realistic prosthetic limbs that will help disabled individuals restore their sense of touch.

Other potential applications include developing more intelligent robots that can perform disaster recovery tasks or take over mundane operations such as packing of items in warehouses. The NUS team is therefore looking to further apply the ACES platform on advanced robots and prosthetic devices in the next phase of their research.

Editor’s Note: This article was republished from the National University of Singapore.

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Artificial muscles based on MIT fibers could make robots more responsive

Artificial muscles from MIT achieve powerful pulling force

Artificial muscles based on powerful fiber contractions could advance robotics and prosthetics. Credit: Felice Frankel

CAMBRIDGE, Mass. — As a cucumber plant grows, it sprouts tightly coiled tendrils that seek out supports in order to pull the plant upward. This ensures the plant receives as much sunlight exposure as possible. Now, researchers at the Massachusetts Institute of Technology have found a way to imitate this coiling-and-pulling mechanism to produce contracting fibers that could be used as artificial muscles for robots, prosthetic limbs, or other mechanical and biomedical applications.

While many different approaches have been used for creating artificial muscles, including hydraulic systems, servo motors, shape-memory metals, and polymers that respond to stimuli, they all have limitations, including high weight or slow response times. The new fiber-based system, by contrast, is extremely lightweight and can respond very quickly, the researchers say. The findings are being reported today in the journal Science.

The new fibers were developed by MIT postdoc Mehmet Kanik and graduate student Sirma Örgüç, working with professors Polina Anikeeva, Yoel Fink, Anantha Chandrakasan, and C. Cem Taşan. The team also included MIT graduate student Georgios Varnavides, postdoc Jinwoo Kim, and undergraduate students Thomas Benavides, Dani Gonzalez, and Timothy Akintlio. They have used a fiber-drawing technique to combine two dissimilar polymers into a single strand of fiber.

artificial muscle fiber at MIT

Credit: Courtesy of the researchers, MIT

The key to the process is mating together two materials that have very different thermal expansion coefficients — meaning they have different rates of expansion when they are heated. This is the same principle used in many thermostats, for example, using a bimetallic strip as a way of measuring temperature. As the joined material heats up, the side that wants to expand faster is held back by the other material. As a result, the bonded material curls up, bending toward the side that is expanding more slowly.

Using two different polymers bonded together, a very stretchable cyclic copolymer elastomer and a much stiffer thermoplastic polyethylene, Kanik, Örgüç and colleagues produced a fiber that, when stretched out to several times its original length, naturally forms itself into a tight coil, very similar to the tendrils that cucumbers produce.

Artificial muscles surprise

But what happened next actually came as a surprise when the researchers first experienced it. “There was a lot of serendipity in this,” Anikeeva recalled.

As soon as Kanik picked up the coiled fiber for the first time, the warmth of his hand alone caused the fiber to curl up more tightly. Following up on that observation, he found that even a small increase in temperature could make the coil tighten up, producing a surprisingly strong pulling force. Then, as soon as the temperature went back down, the fiber returned to its original length.

In later testing, the team showed that this process of contracting and expanding could be repeated 10,000 times “and it was still going strong,” Anikeeva said.

One of the reasons for that longevity, she said, is that “everything is operating under very moderate conditions,” including low activation temperatures. Just a 1-degree Celsius increase can be enough to start the fiber contraction.

The fibers can span a wide range of sizes, from a few micrometers (millionths of a meter) to a few millimeters (thousandths of a meter) in width, and can easily be manufactured in batches up to hundreds of meters long. Tests have shown that a single fiber is capable of lifting loads of up to 650 times its own weight. For these experiments on individual fibers, Örgüç and Kanik have developed dedicated, miniaturized testing setups.

artificial muscle fiber test

Credit: Courtesy of the researchers, MIT

The degree of tightening that occurs when the fiber is heated can be “programmed” by determining how much of an initial stretch to give the fiber. This allows the material to be tuned to exactly the amount of force needed and the amount of temperature change needed to trigger that force.

The fibers are made using a fiber-drawing system, which makes it possible to incorporate other components into the fiber itself. Fiber drawing is done by creating an oversized version of the material, called a preform, which is then heated to a specific temperature at which the material becomes viscous. It can then be pulled, much like pulling taffy, to create a fiber that retains its internal structure but is a small fraction of the width of the preform.

For testing purposes, the researchers coated the fibers with meshes of conductive nanowires. These meshes can be used as sensors to reveal the exact tension experienced or exerted by the fiber. In the future, these fibers could also include heating elements such as optical fibers or electrodes, providing a way of heating it internally without having to rely on any outside heat source to activate the contraction of the “muscle.”

Potential applications

Such artificial muscle fibers could find uses as actuators in robotic arms, legs, or grippers, and in prosthetic limbs, where their slight weight and fast response times could provide a significant advantage.

Some prosthetic limbs today can weigh as much as 30 pounds, with much of the weight coming from actuators, which are often pneumatic or hydraulic; lighter-weight actuators could thus make life much easier for those who use prosthetics.

Credit: Courtesy of the researchers, MIT

“Such fibers might also find uses in tiny biomedical devices, such as a medical robot that works by going into an artery and then being activated,” Anikeeva said. “We have activation times on the order of tens of milliseconds to seconds,” depending on the dimensions.

To provide greater strength for lifting heavier loads, the fibers can be bundled together, much as muscle fibers are bundled in the body. The team successfully tested bundles of 100 fibers.

Through the fiber-drawing process, sensors could also be incorporated in the fibers to provide feedback on conditions they encounter, such as in a prosthetic limb. Örgüç said bundled muscle fibers with a closed-loop feedback mechanism could find applications in robotic systems where automated and precise control are required.

Kanik said that the possibilities for materials of this type are virtually limitless, because almost any combination of two materials with different thermal expansion rates could work, leaving a vast realm of possible combinations to explore. He added that this new finding was like opening a new window, only to see “a bunch of other windows” waiting to be opened.

“The strength of this work is coming from its simplicity,” he said.

The work was supported by the National Institute of Neurological Disorders and Stroke and the National Science Foundation.

Editor’s note: This article republished with permission from MIT News. 

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Automated system from MIT generates robotic actuators for novel tasks

An automated system developed by MIT researchers designs and 3D prints complex robotic parts called actuators that are optimized according to an enormous number of specifications.

An automated system developed by MIT researchers designs and 3D prints complex robotic parts called actuators that are optimized according to an enormous number of specifications. Credit: Subramanian Sundaram

CAMBRIDGE, Mass. — An automated system developed by researchers at the Massachusetts Institute of Technology designs and 3D prints complex robotic actuators that are optimized according to an enormous number of specifications. In short, the system does automatically what is virtually impossible for humans to do by hand.

In a paper published in Science Advances, the researchers demonstrated the system by fabricating actuators that show different black-and-white images at different angles. One actuator, for instance, portrays a Vincent van Gogh portrait when laid flat. When it’s activated, it tilts at an angle and displays the famous Edvard Munch painting “The Scream.”

The actuators are made from a patchwork of three different materials, each with a different light or dark color and a property — such as flexibility and magnetization — that controls the actuator’s angle in response to a control signal. Software first breaks down the actuator design into millions of three-dimensional pixels, or “voxels,” that can each be filled with any of the materials.

Then, it runs millions of simulations, filling different voxels with different materials. Eventually, it lands on the optimal placement of each material in each voxel to generate two different images at two different angles. A custom 3D printer then fabricates the actuator by dropping the right material into the right voxel, layer by layer.

“Our ultimate goal is to automatically find an optimal design for any problem, and then use the output of our optimized design to fabricate it,” said first author Subramanian Sundaram, Ph.D. ’18, a former graduate student in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). “We go from selecting the printing materials, to finding the optimal design, to fabricating the final product in almost a completely automated way.”

New robotic actuators mimic biology for efficiency

The shifting images demonstrates what the system can do. But actuators optimized for appearance and function could also be used for biomimicry in robotics. For instance, other researchers are designing underwater robotic skins with actuator arrays meant to mimic denticles on shark skin. Denticles collectively deform to decrease drag for faster, quieter swimming.

“You can imagine underwater robots having whole arrays of actuators coating the surface of their skins, which can be optimized for drag and turning efficiently, and so on,” Sundaram said.

Joining Sundaram on the paper were Melina Skouras, a former MIT postdoc; David S. Kim, a former researcher in the Computational Fabrication Group; Louise van den Heuvel ’14, SM ’16; and Wojciech Matusik, an MIT associate professor in electrical engineering and computer science and head of the Computational Fabrication Group.

Navigating the ‘combinatorial explosion’

Robotic actuators are becoming increasingly complex. Depending on the application, they must be optimized for weight, efficiency, appearance, flexibility, power consumption, and various other functions and performance metrics. Generally, experts manually calculate all those parameters to find an optimal design.

Adding to that complexity, new 3D-printing techniques can now use multiple materials to create one product. That means the design’s dimensionality becomes incredibly high

“What you’re left with is what’s called a ‘combinatorial explosion,’ where you essentially have so many combinations of materials and properties that you don’t have a chance to evaluate every combination to create an optimal structure,” Sundaram said.

The researchers first customized three polymer materials with specific properties they needed to build their robotic actuators: color, magnetization, and rigidity. They ultimately produced a near-transparent rigid material, an opaque flexible material used as a hinge, and a brown nanoparticle material that responds to a magnetic signal. They plugged all that characterization data into a property library.

The system takes as input grayscale image examples — such as the flat actuator that displays the Van Gogh portrait but tilts at an exact angle to show “The Scream.” It basically executes a complex form of trial and error that’s somewhat like rearranging a Rubik’s Cube, but in this case around 5.5 million voxels are iteratively reconfigured to match an image and meet a measured angle.

Initially, the system draws from the property library to randomly assign different materials to different voxels. Then, it runs a simulation to see if that arrangement portrays the two target images, straight on and at an angle. If not, it gets an error signal. That signal lets it know which voxels are on the mark and which should be changed.

Adding, removing, and shifting around brown magnetic voxels, for instance, will change the actuator’s angle when a magnetic field is applied. But, the system also has to consider how aligning those brown voxels will affect the image.

MIT robotic actuator

Credit: Subramanian Sundaram

Voxel by voxel

To compute the actuator’s appearances at each iteration, the researchers adopted a computer graphics technique called “ray-tracing,” which simulates the path of light interacting with objects. Simulated light beams shoot through the actuator at each column of voxels.

Actuators can be fabricated with more than 100 voxel layers. Columns can contain more than 100 voxels, with different sequences of the materials that radiate a different shade of gray when flat or at an angle.

When the actuator is flat, for instance, the light beam may shine down on a column containing many brown voxels, producing a dark tone. But when the actuator tilts, the beam will shine on misaligned voxels. Brown voxels may shift away from the beam, while more clear voxels may shift into the beam, producing a lighter tone.

The system uses that technique to align dark and light voxel columns where they need to be in the flat and angled image. After 100 million or more iterations, and anywhere from a few to dozens of hours, the system will find an arrangement that fits the target images.

“We’re comparing what that [voxel column] looks like when it’s flat or when it’s titled, to match the target images,” Sundaram said. “If not, you can swap, say, a clear voxel with a brown one. If that’s an improvement, we keep this new suggestion and make other changes over and over again.”

To fabricate the actuators, the researchers built a custom 3-D printer that uses a technique called “drop-on-demand.” Tubs of the three materials are connected to print heads with hundreds of nozzles that can be individually controlled. The printer fires a 30-micron-sized droplet of the designated material into its respective voxel location. Once the droplet lands on the substrate, it’s solidified. In that way, the printer builds an object, layer by layer.

The work could be used as a stepping stone for designing larger structures, such as airplane wings, Sundaram says. Researchers, for instance, have similarly started breaking down airplane wings into smaller voxel-like blocks to optimize their designs for weight and lift, and other metrics.

“We’re not yet able to print wings or anything on that scale, or with those materials,” said Sundaram. “But I think this is a first step toward that goal.”

Editor’s note: This article republished with permission from MIT News.

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