LUKE prosthetic arm has sense of touch, can move in response to thoughts

Keven Walgamott had a good “feeling” about picking up the egg without crushing it. What seems simple for nearly everyone else can be more of a Herculean task for Walgamott, who lost his left hand and part of his arm in an electrical accident 17 years ago. But he was testing out the prototype of LUKE, a high-tech prosthetic arm with fingers that not only can move, they can move with his thoughts. And thanks to a biomedical engineering team at the University of Utah, he “felt” the egg well enough so his brain could tell the prosthetic hand not to squeeze too hard.

That’s because the team, led by University of Utah biomedical engineering associate professor Gregory Clark, has developed a way for the “LUKE Arm” (named after the robotic hand that Luke Skywalker got in The Empire Strikes Back) to mimic the way a human hand feels objects by sending the appropriate signals to the brain.

Their findings were published in a new paper co-authored by University of Utah biomedical engineering doctoral student Jacob George, former doctoral student David Kluger, Clark, and other colleagues in the latest edition of the journal Science Robotics.

Sending the right messages

“We changed the way we are sending that information to the brain so that it matches the human body. And by matching the human body, we were able to see improved benefits,” George says. “We’re making more biologically realistic signals.”

That means an amputee wearing the prosthetic arm can sense the touch of something soft or hard, understand better how to pick it up, and perform delicate tasks that would otherwise be impossible with a standard prosthetic with metal hooks or claws for hands.

“It almost put me to tears,” Walgamott says about using the LUKE Arm for the first time during clinical tests in 2017. “It was really amazing. I never thought I would be able to feel in that hand again.”

Walgamott, a real estate agent from West Valley City, Utah, and one of seven test subjects at the University of Utah, was able to pluck grapes without crushing them, pick up an egg without cracking it, and hold his wife’s hand with a sensation in the fingers similar to that of an able-bodied person.

“One of the first things he wanted to do was put on his wedding ring. That’s hard to do with one hand,” says Clark. “It was very moving.”

How those things are accomplished is through a complex series of mathematical calculations and modeling.

Kevin Walgamott LUKE arm

Kevin . Walgamott wears the LUKE prosthetic arm. Credit: University of Utah Center for Neural Interfaces

The LUKE Arm

The LUKE Arm has been in development for some 15 years. The arm itself is made of mostly metal motors and parts with a clear silicon “skin” over the hand. It is powered by an external battery and wired to a computer. It was developed by DEKA Research & Development Corp., a New Hampshire-based company founded by Segway inventor Dean Kamen.

Meanwhile, the University of Utah team has been developing a system that allows the prosthetic arm to tap into the wearer’s nerves, which are like biological wires that send signals to the arm to move. It does that thanks to an invention by University of Utah biomedical engineering Emeritus Distinguished Professor Richard A. Normann called the Utah Slanted Electrode Array.

The Array is a bundle of 100 microelectrodes and wires that are implanted into the amputee’s nerves in the forearm and connected to a computer outside the body. The array interprets the signals from the still-remaining arm nerves, and the computer translates them to digital signals that tell the arm to move.

But it also works the other way. To perform tasks such as picking up objects requires more than just the brain telling the hand to move. The prosthetic hand must also learn how to “feel” the object in order to know how much pressure to exert because you can’t figure that out just by looking at it.

First, the prosthetic arm has sensors in its hand that send signals to the nerves via the Array to mimic the feeling the hand gets upon grabbing something. But equally important is how those signals are sent. It involves understanding how your brain deals with transitions in information when it first touches something. Upon first contact of an object, a burst of impulses runs up the nerves to the brain and then tapers off. Recreating this was a big step.

“Just providing sensation is a big deal, but the way you send that information is also critically important, and if you make it more biologically realistic, the brain will understand it better and the performance of this sensation will also be better,” says Clark.

To achieve that, Clark’s team used mathematical calculations along with recorded impulses from a primate’s arm to create an approximate model of how humans receive these different signal patterns. That model was then implemented into the LUKE Arm system.

Future research

In addition to creating a prototype of the LUKE Arm with a sense of touch, the overall team is already developing a version that is completely portable and does not need to be wired to a computer outside the body. Instead, everything would be connected wirelessly, giving the wearer complete freedom.

Clark says the Utah Slanted Electrode Array is also capable of sending signals to the brain for more than just the sense of touch, such as pain and temperature, though the paper primarily addresses touch. And while their work currently has only involved amputees who lost their extremities below the elbow, where the muscles to move the hand are located, Clark says their research could also be applied to those who lost their arms above the elbow.

Clark hopes that in 2020 or 2021, three test subjects will be able to take the arm home to use, pending federal regulatory approval.

The research involves a number of institutions including the University of Utah’s Department of Neurosurgery, Department of Physical Medicine and Rehabilitation and Department of Orthopedics, the University of Chicago’s Department of Organismal Biology and Anatomy, the Cleveland Clinic’s Department of Biomedical Engineering, and Utah neurotechnology companies Ripple Neuro LLC and Blackrock Microsystems. The project is funded by the Defense Advanced Research Projects Agency and the National Science Foundation.

“This is an incredible interdisciplinary effort,” says Clark. “We could not have done this without the substantial efforts of everybody on that team.”

Editor’s note: Reposted from the University of Utah.

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TIAGo++ robot from PAL Robotics ready for two-armed tasks

Among the challenges for developers of mobile manipulation and humanoid robots is the need for an affordable and flexible research platform. PAL Robotics last month announced its TIAGo++, a robot that includes two arms with seven degrees of freedom each.

As with PAL Robotics‘ one-armed TIAGo, the new model is based on the Robot Operating System (ROS) and can be expanded with additional sensors and end effectors. TIAGo++ is intended to enable engineers to create applications that include a touchscreen interface for human-robot interaction (HRI) and require simultaneous perception, bilateral manipulation, mobility, and artificial intelligence.

In addition, TIAGo++ supports NVIDIA’s Jetson TX2 as an extra for machine learning and deep learning development. Tutorials for ROS and open-source simulation for TIAGo are available online.

Barcelona, Spain-based PAL, which was named a “Top 10 ROS-based robotics company to watch in 2019,” also makes the Reem and TALOS robots.

Jordi Pagès, product manager of the TIAGo robot at PAL Robotics responded to the following questions about TIAGo++ from The Robot Report:

For the development of TIAGo++, how did you collect feedback from the robotics community?

Pagès: PAL Robotics has a long history in research and development. We have been creating service robotics platforms since 2004. When we started thinking about the TIAGo robot development, we asked researchers from academia and industry which features would they expect or value in a platform for research.

Our goal with TIAGo has always been the same: to deliver a robust platform for research that easily adapts to diverse robotics projects and use cases. That’s why it was key to be in touch with the robotics and AI developers from start.

After delivering the robots, we usually ask for feedback and stay in touch with the research centers to learn about their activities and experiences, and the possible improvements or suggestions they would have. We do the same with the teams that use TIAGo for competitions like RoboCup or the European Robotics League [ERL].

At the same time, TIAGo is used in diverse European-funded projects where end users from different sectors, from healthcare to industry, are involved. This allows us to also learn from their feedback and keep finding new ways in which the platform could be of help in a user-centered way. That’s how we knew that adding a second arm into the TIAGo portfolio of its modular possibilities could be of help to the robotics community.

How long did it take PAL Robotics to develop the two-armed TIAGo++ in comparison with the original model?

Pagès: Our TIAGo platform is very modular and robust, so it took us just few months from taking the decision to having a working TIAGo++ ready to go. The modularity of all our robots and our wide experience developing humanoids usually helps us a lot in reducing the redesign and production time.

The software is also very modular, with extensive use of ROS, the de facto standard robotics middleware. Our customers are able to upgrade, modify, and substitute ROS packages. That way, they can focus their attention on their real research on perception, navigation, manipulation, HRI, and AI.

How high can TIAGo++ go, and what’s its reach?

Pagès: TIAGo++ can reach the floor and up to 1.75m [5.74 ft.] high with each arm, thanks to the combination of its 7 DoF [seven degrees of freedom] arms and its lifting torso. The maximum extension of each arm is 92cm [36.2 in.]. In our experience, this workspace allows TIAGo to work in several environments like domestic, healthcare, and industry.

TIAGo++ robot from PAL Robotics

The TIAGo can extend in height, and each arm has a reach of about 3 ft. Source: PAL Robotics

What’s the advantage of seven degrees of freedom for TIAGo’s arms over six degrees?

Pagès: A 7-DoF arm is much better in this sense for people who will be doing manipulation tasks. Adding more DoFs means that the robot can arrive to more poses — positions and orientations — of its arm and end-effector that it couldn’t reach before.

Also, this enables developers to reduce singularities, avoiding non-desired abrupt movements. This means that TIAGo has more possibilities to move its arm and reach a certain pose in space, with a more optimal combination of movements.

What sensors and motors are in the robot? Are they off-the-shelf or custom?

Pagès: All our mobile-based platforms, like the TIAGo robot, combine many sensors. TIAGo has a laser and sonars to move around and localize itself in space, an IMU [inertial measurement unit], and an RGB-D camera in the head. It can have a force/torque sensor on the wrist, especially useful to work in HRI scenarios. It also has a microphone and a speaker.

TIAGo has current sensing in every joint of the arm, enabling a very soft, effortless torque control on each of the arms. The possibility of having an expansion panel with diverse connectors makes it really easy for developers to add even more sensors to it, like a thermal camera or a gripper camera, once they have TIAGo in their labs.

About the motors, TIAGo++ makes use our custom joints integrating high-quality commercial components and our own electronic power management and control. All motors also have encoders to measure the current motor position.

What’s the biggest challenge that a humanoid like TIAGo++ can help with?

Pagès: TIAGo++ can help with are those tasks that require bi-manipulation, in combination with navigation, perception, HRI, or AI. Even though it is true that a one-arm robot can already perform a wide range of tasks, there are many actions in our daily life that require of two arms, or that are more comfortably or quickly done with two arms rather than one.

For example, two arms are good for grasping and carrying a box, carrying a platter, serving liquids, opening a bottle or a jar, folding clothes, or opening a wardrobe while holding an object. In the end, our world and tools have been designed for the average human body, which is with two arms, so TIAGo++ can adapt to that.

As a research platform based on ROS, is there anything that isn’t open-source? Are navigation and manipulation built in or modular?

Pagès: Most software is provided either open-sourced or with headers and dynamic libraries so that customers can develop applications making use of the given APIs or using the corresponding ROS interfaces at runtime.

For example, all the controllers in TIAGo++ are plugins of ros_control, so customers can implement their own controllers following our public tutorials and deploy them on the real robot or in the simulation.

Moreover, users can replace any ROS package by their own packages. This approach is very modular, and even if we provide navigation and manipulation built-in, developers can use their own navigation and manipulation instead of ours.

Did PAL work with NVIDIA on design and interoperability, or is that an example of the flexibility of ROS?

Pagès: It is both an example of how easy is to expand TIAGo with external devices and how easy is to integrate in ROS these devices.

One example of applications that our clients have developed using the NVIDIA Jetson TX2 is the “Bring me a beer” task from the Homer Team [at RoboCup], at the University of Koblenz-Landau. They made a complete application in which TIAGo robot could understand a natural language request, navigate autonomously to the kitchen, open the fridge, recognize and select the requested beer, grasp it, and deliver it back to the person who asked for it.

As a company, we work with multiple partners, but we also believe that our users should be able to have a flexible platform that allows them to easily integrate off-the-shelf solutions they already have.

How much software support is there for human-machine interaction via a touchscreen?

Pagès: The idea behind integrating a touchscreen on TIAGo++ is to bring customers the possibility to implement their own graphical interface, so we provide full access to the device. We work intensively with researchers, and we provide platforms as open as our customers need, such as a haptic interface.

What do robotics developers need to know about safety and security?

Pagès: A list of safety measures and best practices are provided in the Handbook of TIAGo robot in order that customers ensure safety both around the robot and for the robot itself.

TIAGo also features some implicit control modes that help to ensure safety while operation. For example, an effort control mode for the arms is provided so that collisions can be detected and the arm can be set in gravity compensation mode.

Furthermore, the wrist can include a six-axis force/torque sensor providing more accurate feedback about collisions or interactions of the end effector with the environment. This sensor can be also used to increase the safety of the robot. We provide this information to our customers and developers so they are always aware about the safety measures.

Have any TIAGo users moved toward commercialization based on what they’ve learned with PAL’s systems?

Pagès: At the moment, from the TIAGo family, we commercialize the TIAGo Base for intralogistics automation in indoor spaces such as factories or warehouses.

Some configurations of the TIAGo robot have been tested in pilots in healthcare applications. In the EnrichMe H2020 EU Project, the robot gave assistance to old people at home autonomously for up to approximately two months.

In robotics competitions such as the ERL, teams have shown the quite outstanding performance of TIAGo in accomplishing specific actions in a domestic environment. Two teams ended first and third in the RoboCup@Home OPL 2019 in Sydney, Australia. The Homer Team won for the third time in a row using TIAGo — see it clean a toilet here.

The CATIE Robotics Team ended up third in the first world championship in which it participated. For instance, in one task, it took out the trash.

The TIAGo robot is also used for European Union Horizon 2020 experiments in which collaborative robots that combine mobility with manipulation are used in industrial scenarios. This includes projects such as MEMMO for motion generation, Co4Robots for coordination, and RobMoSys for open-source software development.

Besides this research aspect, we have industrial customers that are using TIAGo to improve their manufacturing procedures.

How does TIAGo++ compare with, say, Rethink Robotics’ Baxter?

Pagès: With TIAGo++, besides the platform itself, you also get support, extra advanced software solutions, and assessment from a company that continues to be in the robotics sector since more than 15 years ago. Robots like the TIAGo++ also use our know-how both in software and hardware, a knowledge that the team has been gathering from the development of cutting-edge biped humanoids like the torque-controlled TALOS.

From a technical point of view, TIAGo++ was made very compact to suit environments shared with people such as homes. Baxter was a very nice entry-point platform and was not originally designed to be a mobile manipulator but a fixed one. TIAGo++ can use the same navigation used in our commercial autonomous mobile robot for intralogistics tasks, the TIAGo Base.

Besides, TIAGo++ is a fully customizable robot in all aspects: You can select the options you want in hardware and software, so you get the ideal platform you want to have in your robotics lab. For a mobile manipulator with two 7-DoF arms, force/torque sensors, ROS-based, affordable, and with community support, we believe TIAGo++ should be a very good option.

The TIAGo community is growing around the world, and we are sure that we will see more and more robots helping people in different scenarios very soon.

What’s the price point for TIAGo++?

Pagès: The starting price is around €90,000 [$100,370 U.S.]. It really depends on the configuration, devices, computer power, sensors, and extras that each client can choose for their TIAGo robot, so the price can vary.

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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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Programmable soft actuators show potential of soft robotics at TU Delft

Researchers at the Delft University of Technology in the Netherlands have developed highly programmable soft actuators that, similar to the human hand, combine soft and hard materials to perform complex movements. These materials have great potential for soft robots that can safely and effectively interact with humans and other delicate objects, said the TU Delft scientists.

“Robots are usually big and heavy. But you also want robots that can act delicately, for instance, when handling soft tissue inside the human body. The field that studies this issue, soft robotics, is now really taking off,” said Prof. Amir Zadpoor, who supervised the research presented the July 8 issue of Materials Horizons.

“What you really want is something resembling the features of the human hand including soft touch, quick yet accurate movements, and power,” he said. “And that’s what our soft 3D-printed programmable materials strive to achieve.”

Tunability

Owing to their soft touch, soft robotics can safely and effectively interact with humans and other delicate objects. Soft programmable mechanisms are required to power this new generation of robots. Flexible mechanical metamaterials, working on the basis of mechanical instability, offer unprecedented functionalities programmed into their architected fabric that make them potentially very promising as soft mechanisms, said the TU Delft researchers.

“However, the tunability of the mechanical metamaterials proposed so far have been very limited,” said first author Shahram Janbaz.

Programmable soft actuators

“We now present some new designs of ultra-programmable mechanical metamaterials, where not only the actuation force and amplitude, but also the actuation mode could be selected and tuned within a very wide range,” explained Janbaz. “We also demonstrate some examples of how these soft actuators could be used in robotics, for instance as a force switch, kinematic controllers, and a pick-and-place end-effector.”

Soft actuators from TU Delft

A conventional robotic arm is modified using the developed soft actuators to provide soft touch during pick-and-place tasks. Source: TU Delft

Buckling

“The function is already incorporated in the material,” Zadpoor explained. “Therefore, we had to look deeper at the phenomenon of buckling. This was once considered the epitome of design failure, but has been harnessed during the last few years to develop mechanical metamaterials with advanced functionalities.”

“Soft robotics in general and soft actuators in particular could greatly benefit from such designer materials,” he added. “Unlocking the great potential of buckling-driven materials is, however, contingent on resolving the main limitation of the designs presented to date, namely the limited range of their programmability. We were able to calculate and predict higher modes of buckling and make the material predisposed to these higher modes.”

3D printing

“So, we present multi-material buckling-driven metamaterials with high levels of programmability,” said Janbaz. “We combined rational design approaches based on predictive computational models with advanced multi-material additive manufacturing techniques to 3D print cellular materials with arbitrary distributions of soft and hard materials in the central and corner parts of their unit cells.”

“Using the geometry and spatial distribution of material properties as the main design parameters, we developed soft mechanical metamaterials behaving as mechanisms whose actuation force and actuation amplitude could be adjusted,” he said.

Editor’s note: This article republished from TU Delft.

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Elephant Robotics’ Catbot designed to be a smaller, easier to use cobot


Small and midsize enterprises are just beginning to benefit from collaborative robot arms or cobots, which are intended to be safer and easier to use than their industrial cousins. However, high costs and the difficulty of customization are still barriers to adoption. Elephant Robotics this week announced its Catbot, which it described as an “all in one safe robotic assistant.”

The cobot has six degrees of freedom, has a 600mm (23.6 in.) reach, and weighs 18kg (39.68 lb.). It has a payload capacity of 5kg (11 lb.). Elephant Robotics tested Catbot in accordance with international safety standards EN ISO 13848:2008 PL d and 10218-1: 2011-Clause 5.4.3 for human-machine interaction. A teach pendant and a power box are optional with Catbot.

Elephant Robotics CEO Joey Song studied in Australia. Upon returning home, he said, he “wanted to create a smaller in size robot that will be safe to operate and easy to program for any business owner with just a few keystrokes.”

Song founded Elephant Robotics in 2016 in Shenzhen, China, also known as “the Silicon Valley of Asia.” It joined the HAX incubator and received seed funding from Princeton, N.J.-based venture capital firm SOSV.

Song stated that he is committed in making human-robot collaboration accessible to any small business by eliminating the limitations of high price or requirements for highly skilled programming. Elephant Robotics also makes the Elephant and Panda series cobots for precise industrial automation.

Catbot includes voice controls

Repetitive tasks can lead to boredom, accidents, and poor productivity and quality, noted Elephant Robotics. Its cobots are intended to free human workers to be more creative. The company added that Catbot can save on costs and increase workloads.

Controlling robots, even collaborative robots, can be difficult. This is even harder for robots that need to be precise and safe. Elephant Robotics cited Facebook’s new PyRobot framework as an example of efforts to simplify robotic commands.

Catbot is built on an open platform so developers can share the skills they’ve developed, allowing others to use them or build on top of them.

Elephant Robotics claimed that it has made Catbot smarter and safer than other collaborative robots, offering “high efficiency and flexibility to various industries.” It includes force sensing and voice-command functions.

In addition, Catbot has an “all-in-one” design, cloud-based programming, and quick tool changing.

The catStore virtual shop offers a set of 20 basic skills. Elephant Robotics said that new skills could be developed for specific businesses, and they can be shared with other users on its open platform.

Elephant Robotics' Catbot designed to be a smaller, easier to use cobot

Catbot is designed to provide automated assistance to people in a variety of SMEs. Source: Elephant Robotics

Application areas

Elephant Robotics said its cobots are suitable for assembly, packaging, pick-and-place, and testing tasks, among others. Its arms work with a variety of end effectors. To increase its flexibility, the company said, Catbot is designed to be easy to program, from high-precision tasks to covering “hefty ground projects.”

According to Elephant Robotics, the Catbot can used for painting, photography, and giving massages. It could also be a personal barista or play with humans in a table game. In addition, Catbot could act as a helping hand in research workshops or as an automatic screwdriver, said the company.

Elephant Robotics’ site said it serves the agricultural and food, automotive, consumer electronics, educational and research, household device, and machining markets.

Catbot is available now for preorder, with deliveries set to start in August 2019. Contact Elephant Robotics for more information on price or tech specifications at sales@elephantrobotics.com.

AMP Robotics announces largest deployment of AI-guided recycling robots

AMP Robotics announces largest deployment of AI-guided recycling robots

AMP robotics deployment at SSR in Florida. Source: Business Wire

DENVER — AMP Robotics Corp., a pioneer in artificial intelligence and robotics for the recycling industry, today announced the further expansion of AI guided robots for recycling municipal solid waste at Single Stream Recyclers LLC. This follows Single Stream Recyclers’ recent unveiling of its first installation of AMP systems at its state-of-the-art material recovery facility in Florida, the first of its kind in the state.

Single Stream Recyclers (SSR) currently operates six AMP Cortex single-robot systems at its 100,000 square-foot facility in Sarasota. The latest deployment will add another four AMP Cortex dual-robot systems (DRS), bringing the total deployment to 14 robots. The AMP Cortex DRS uses two high-speed precision robots that sort, pick, and place materials. The robots are installed on a number of different sorting lines throughout the facility and will process plastics, cartons, paper, cardboard, metals, and other materials.

“Robots are the future of the recycling industry,” said John Hansen co-owner of SSR. “Our investment with AMP is vital to our goal of creating the most efficient recycling operation possible, while producing the highest value commodities for resale.”

“AMP’s robots are highly reliable and can consistently pick 70-80 items a minute as needed, twice as fast as humanly possible and with greater accuracy,” added Eric Konik co-owner of SSR. “This will help us lower cost, remove contamination, increase the purity of our commodity bales, divert waste from the landfill, and increase overall recycling rates.”

AMP Neuron AI guides materials sorting

The AMP Cortex robots are guided by the AMP Neuron AI platform to perform tasks. AMP Neuron applies computer vision and machine learning to recognize different colors, textures, shapes, sizes, and patterns to identify material characteristics.

Exact down to what brand a package is, the system transforms millions of images into data, directing the robots to pick and place targeted material for recycling. The AI platform digitizes the material stream, capturing data on what goes in and out, so informed decisions can be made about operations.

“SSR has built a world-class facility that sets the bar for modern recycling. John, Eric and their team are at the forefront of their industry and we are grateful to be a part of their plans,” said Matanya Horowitz, CEO of AMP Robotics. “SSR represents the most comprehensive application of AI and robotics in the recycling industry, a major milestone not only for us, but for the advancement of the circular economy.”

The new systems will be installed this summer. Upon completion, AMP’s installation at SSR is believed to be the single largest application of AI guided robots for recycling in the United States and likely the world. In addition to Florida, AMP has installations at numerous facilities across the country including California, Colorado, Indiana, Minnesota, and Wisconsin; with many more planned. Earlier this spring, AMP expanded globally by partnering with Ryohshin Ltd. to bring robotic recycling to Japan.

About AMP Robotics

AMP Robotics is transforming the economics of recycling with AI-guided robots. The company’s high-performance industrial robotics system, AMP Cortex, precisely automates the identification, sorting, and processing of material streams to extract maximum value for businesses that recycle municipal solid waste, e-waste and construction and demolition.

The AMP Neuron AI platform operates AMP Cortex using advanced computer vision and machine learning to continuously train itself by processing millions of material images within an ever-expanding neural network that experientially adapts to changes in a facility’s material stream.

About Single Stream Recyclers

Single Stream Recyclers is a materials recovery facility in Sarasota, Fla. It processes, materials from all over the west coast of Florida. The facility sorts, bales and ships aluminum, cardboard, food and beverage cartons, glass, paper, plastics, metal and other recyclables from residential curbside and commercial recycling collection. SSR is heavily invested in technology to help create the best possible end products and reduce contamination as well as residue.

Festo’s Bionic robots merge pneumatics, artificial intelligence

Festo's Bionic pneumatic robotics meet artificial intelligence

Bionic SoftHand from Festo plays Rock-Paper-Scissors. Credit: Philipp Freudigmann

Whether it’s grabbing, holding or turning, touching, typing or pressing — in everyday life, we use our hands as a matter of course for the most diverse tasks. In that regard, the human hand, with its unique combination of power, dexterity, and fine motor skills, is a true miracle tool of nature. What could be more natural than equipping robots in collaborative workspaces with a gripper that is modeled after this example from nature and solves various tasks by learning with artificial intelligence? Festo’s Bionic series does just that.

Festo announced that it will show its BionicSoftHand pneumatic robot hand at Hannover Messe 2019. Combined with the BionicSoftArm, a pneumatic lightweight robot, these future concepts are suitable for human-robot collaboration.

The BionicSoftHand is pneumatically operated so that it can interact safely and directly with people. Unlike the human hand, the BionicSoftHand has no bones. Its fingers consist of flexible bellows structures with air chambers.

The bellows are enclosed in the fingers by a special 3D textile coat knitted from both, elastic, and high-strength threads. Thanks to this soft robotics material, it is possible to determine exactly where the structure expands and generates power and where it is prevented from expanding. This makes it light, flexible, adaptable, and sensitive, yet capable of exerting strong forces.

AI-guided Bionic grasping

The methods for machines to learn are comparable with those of humans. They require positive or negative feedback to their actions in order to classify and learn from them. BionicSoftHand uses this method of reinforcement learning.

This means instead of imitating a specific action, the hand is merely given a goal. It uses trial and error to achieve its goal. Based on received feedback, the Bionic gripper gradually optimizes its actions until the task is finally solved.

Specifically, the BionicSoftHand can rotate a 12-sided cube so that a previously defined side ends up on top. The necessary movement strategy is taught in a virtual environment with the aid of a digital twin, which is created with the help of data from a depth-sensing camera and computer vision algorithms.

Proportional piezo valves for precise control

To minimize the effects of tubing, Festo’s developers have specially designed a small, digitally controlled valve terminal, which is mounted directly on the BionicSoftHand. This means that the tubes for controlling the gripper fingers do not have to be pulled through the entire robot arm.

Thus, the BionicSoftHand can be quickly and easily connected and operated with only one tube each for supply air and exhaust air. With the proportional piezo valves used, the movements of the fingers can be precisely controlled.

The days of strict separation between factory workers and automation are passing, thanks to collaborative robots. As their workspaces converge, humans and machines will be able to work simultaneously on the same workpiece or component — without having to be shielded from each other for safety reasons.

The BionicSoftArm is a compact further development of Festo’s BionicMotionRobot, whose range of applications has been significantly expanded. Thanks to its modular design, the Bionic arm can be combined with up to seven pneumatic bellows segments and rotary drives. This guarantees maximum flexibility in terms of reach and mobility. The arm can work around obstacles even in the tightest of spaces if necessary.

At the same time, it is completely flexible and can work safely with people. Direct human-robot collaboration is possible with the BionicSoftArm, as well as its use in classic SCARA applications, such as pick-and-place tasks.

Flexible application possibilities

The modular robot arm can be used for a wide variety of applications, depending on the design and mounted gripper. Thanks to its flexible kinematics, the BionicSoftArm can interact directly and safely with humans.

At the same time, the kinematics make it easier for the Bionic arm to adapt to different tasks at various locations in production environments. The elimination of costly safety devices such as cages and light barriers shortens conversion times and thus enables flexible use – completely in accordance with adaptive and economical production.

BionicFinWave: Underwater robot with unique fin drive

Nature teaches us impressively, how optimal drive systems for certain swimming movements should look. To move forward, the marine planarian and sepia create a continuous wave with their fins, which advances along their entire length.

For the BionicFinWave, the bionics team was inspired by this undulating fin movement. The undulation pushes the water backwards, creating a forward thrust. This principle allows the BionicFinWave to maneuver forwards or backwards through an acrylic tube system.

The BionicFinWave’s two side fins are completely cast out of silicone and do not require struts or other supporting elements. The two fins are attached to the left and right of nine small lever arms, which in turn are powered by two servo motors. Two adjacent crankshafts transmit the force to the levers so that the two fins can be moved individually to generate different shaft patterns. They are particularly suitable for slow and precise locomotion and whirl up less water than, for example, a screw drive.

A cardan joint is located between each lever segment to ensure that the Bionic robot’s crankshafts are flexible. For this purpose, the crankshafts including the joints and the connecting rod are made of plastic in one piece using the 3D printing process.

Intelligent interaction of a wide variety of components

The remaining elements in the BionicFinWave’s body are also 3D-printed, which enables its complex geometries in the first place. With their cavities, they act as flotation units.

At the same time, the entire control and regulation technology are watertight, safely installed and synchronized in a very tight space. The Festo Bionic Learning Network has continued its innovative approach to robotics.

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Robotics cluster in Odense, Denmark, offers metrics for growth

Robotics cluster in Odense, Denmark, offers metrics for growth

What makes a robotics cluster successful? Proximity to university research and talent, government support of entrepreneurship, and a focus on industry end users are all important. Around the world, regions have proclaimed initiatives to become “the next Silicon Valley.” However, there have been relatively few metrics to describe robotics hubs — until now.

This week, Odense Robotics in Denmark released a report on the economic returns generated by its member companies. Both the amount of exports and the number of employees have increased by about 50 percent, according to Mikkel Christoffersen, business manager at Odense Robotics.

At the same time, the report is realistic about the ongoing challenges facing every robotics cluster, including finding qualified job candidates. As locales from India to Israel and Canada to China look to stimulate innovation, they should look at their own mixes of people, partnerships, and economic performance.

Membership and money

The Odense robotics cluster currently has 129 member companies and more than 10 research and educational institutions. That’s up from 85 in 2015 and comparable with Massachusetts, which is home to more than 150 robotics companies. The Massachusetts Robotics Cluster said it had 122 members as of 2016.

Silicon Valley Robotics says it has supported 325 robot startups, and “Roboburgh” in Pittsburgh includes more than 50 organizations..

In terms of economic performance, the Odense robotics cluster had 763 million euros ($866.3 million U.S.) in turnover, or revenue, in 2017. It expects another 20 percent increase by 2021.

Odense has been friendly to startups, with 64 founded since 2010. The Odense Robotics StartUp Hub has helped to launch 15 companies. Seventy companies, or 54 percent, of those in the Odense area have fewer than 10 employees.

Total investments in the Danish robotics cluster have risen from 322 million euros ($365.6 million) in 2015 to 750 million euros ($851.7 million) last year, with 42 percent coming from investors rather than public funding or loans.

Funding for companies in the Odense robotics cluster continues to rise.

Source: Odense Robotics

In addition, 71 local companies were robotics producers, up from 58 in 2017. The next largest category was integrators at 23. The region also boasted 509 million euros ($577.9 million) in exports in 2017, and 66 percent of its members expect to begin exports.

Market focus

The Odense Robotics report notes that a third of its member companies work with collaborative and mobile robots, representing its focus on manufacturing and supply chain customers. Those are both areas of especially rapid growth in the wider robotics ecosystem.

The global collaborative robotics market will experience a compound annual growth rate (CAGR) of 49.8 percent between 2016 and 2025, compared with a CAGR of 12.1 percent for industrial robots, predicts ABI Research. Demand from small and midsize enterprises will lead revenues to exceed $1.23 billion in 2025, said ABI.

Odense-based Universal Robots A/S is the global market leader in cobot arms. Odense-based gripper maker OnRobot A/S was formed last year by the merger of three companies, and it has since acquired Purple Robotics and raised hundreds of millions in additional funding.

OnRobot Grippers

OnRobot’s lineup of robotic grippers. Source: OnRobot

Similarly, the market for autonomous mobile robots will have a 24 percent CAGR between 2018 and 2022, according to a Technavio forecast. Odense-based Mobile Industrial Robots ApS (MiR) has tripled its sales in each of the past two years.

Both Universal Robots and MiR have broadened their international reach, thanks to ownership by Teradyne Inc. in North Reading, Mass.

Robotics cluster must address talent shortage

Odense Robotics said that its robotics cluster employs 3,600 people today and expects that figure to rise to 4,900 by next year. In comparison, the Massachusetts robotics cluster employed about 4,700 people in 2016.

Odense robotics cluster employee growth

The Danish robotics cluster is a significant employer. Source: Odense Robotics

Even as the numbers of people grow at larger robotics companies (with 50 or more employees) or abroad, businesses in southern Denmark have to look far afield to meet their staffing needs. More than a third, or 39 percent, said they expect to hire from outside of Denmark, and 78 percent said that finding qualified recruits is the biggest barrier to growth.

The average age of employees in the Odense robotics cluster reflects experience, as well as difficulty recruiting. Fifty-five percent of them are age 40 to 60, while only 18 percent are under 30.

This reflects a larger problem for robotics developers and vendors. Even with STEM (science, technology, engineering, and mathematics) programs and attention paid to education, the demand for hardware and software engineers worldwide outstrips the available pool.

The University of Southern Denmark (SDU) is working to address this. It has increased admissions for its bachelor’s degrees in engineering and science and master’s of science programs from 930 in 2015 to 1,235 last year. The university also launched a bachelor’s in engineering for robot systems, admitting 150 students since 2017.

Robotics cluster in Odense includes DTI

The Danish Technological Institute is expanding its facilities in Odense this year. Source: DTI

Another positive development that other robotics clusters can learn from Odense is that 41 percent of workers at robotics firms there went to vocational schools rather than universities.

Partnerships and prospects

Close collaboration with research institutions, fellow robotics cluster members, and international companies has helped the Odense hub grow. Seventy eight percent of cluster members collaborate among themselves, according to the report. Also, 38 percent collaborate with more than 10 companies.

The Odense robotics cluster grew out of a partnership between shipping giant Maersk A/S and SDU. The Maersk Mc-Kinney Moller Institute at SDU continues to conduct research into robotics, artificial intelligence, and systems for healthcare and the energy industry. It recently added aerial drones, soft robotics, and virtual reality to its portfolio.

Last year, the institute invested 13.4 million euros ($15.22 million) in an Industry 4.0 laboratory, and an SDU team won in the industrial robot category at the World Robot Summit Challenge in Japan.

Examples such as Universal Robots and MiR, as well as Denmark’s central position in Northern Europe, are encouraging companies to look for partners. Collaborating with companies inside and outside the Odense robotics cluster is a top priority of members, with 98 percent planning to make it a strategic focus in the next three years.

Of course, the big opportunity and competitive challenge is China, which is potentially a much bigger market than the U.S. or Europe and is trying to build up its own base of more than 800 robotics companies.

It’s only through collective action around robotics clusters that smart regions, large and small, can find their niches, build talent, and maximize the returns on their investments.

Editor’s note: A panel at the Robotics Summit & Expo in Boston on June 5 and 6, 2019, will feature speakers from different robotics clusters. Register now to attend.

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