Archive 05.02.2019

Booth #4211 - Vendors will want to stop by to see Epson Force Guidance technology, the T6 SCARA Robot Dispense Demonstration, and the LS3 Force Feeder Demonstration.

Booth #4605 - We're very excited to show the ATX audience three new UR cobot-assisted applications developed by our partners

Booth #4139 - DENSO's newest 6 axis robot, Cobotta, we have targeted the marketing of small, delicate parts handling, with the selection of both an industrial mode of operation, as well as, a collaborative mode of operation.

Booth #4481 (co-exhibiting with Futura Automation) - Gecko Gripper, that uses millions of micro-scaled fibrillar stalks that adhere to a surface using powerful van der Waals forces — the same way that geckos climb.

In this interview, Audrow Nash interviews Jaime Fernández Fisac, a PhD student at University of California, Berkeley, in Anca Dragan’s InterACT Lab. Fisac is interested in ensuring that autonomous systems such as self-driving cars, delivery drones, and home robots can operate and learn in the world—while satisfying safety constraints. Towards this goal, Fisac discusses different examples of his work with unmanned aerial vehicles and talks about safe robot learning in general; including, the curse of dimensionality and how it impacts control problems (including how some systems can be decomposed into simpler control problems), how simulation can be leveraged before trying learning on a physical robot, safe sets, and how a robot can modify its behavior based on how confident it is that its model is correct.

Below are two videos of work that was discussed during the interview.  The top video is on a framework for learning-based control, and the bottom video discusses adjusting the robot’s confidence about a human’s actions based on how predictably the human is behaving.

Jaime Fernández Fisac

Jaime Fernández Fisac is a final-year Ph.D. candidate in Electrical Engineering and Computer Sciences at the University of California, Berkeley. He received a B.S./M.S. degree in Electrical Engineering from the Universidad Politécnica de Madrid, Spain, in 2012, and a M.Sc. in Aeronautics from Cranfield University, U.K., in 2013. He is a recipient of the La Caixa Foundation fellowship. His research interests lie between control theory and artificial intelligence, with a focus on safety assurance for autonomous systems. He works to enable AI systems to reason explicitly about the gap between their models and the real world, so that they can safely interact with uncertain environments and human beings, even under inaccurate assumptions.

Links

• Download mp3 (28.0 MB)
• Jaime Fernández Fisac’s website
• InterACT Lab
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There is an increasing demand for collaborative robots that can work autonomously and adapt to changing production conditions. This requires reliable sensors that detect human presence and can overcome future challenges with the development of collaborative technologies.

Booth #4311 - The single-arm YuMi provides manufacturers of all sizes added flexibility and scalability to meet the challenges of high-mix, low-volume production in shorter cycles.

A prototype robot that uses intense suction to climb around the outside of aircraft and inspect them for damage has successfully been trialled at Cranfield University.

Columbia Engineering researchers have made a major advance in robotics by creating a robot that learns what it is, from scratch, with zero prior knowledge of physics, geometry, or motor dynamics.

A Korean research team has proposed a new paradigm for a wearable hand robot that can aid people with lost hand mobility. The hand robot collects user behaviors with a machine learning algorithm to determine the user's intention.

Because of the very complex nature of automotive manufacturing AGV vehicles on the plant floor must feature a wide range of standard modules that are configurable to meet automotive customers’ automation needs.

Booth #4411 - We are showcasing our newest Manual Tool Changer, Force/Torque Sensor, and Universal Compliance Compensator models in a live robotic demonstration! These solutions are ideal for use in collaborative robot applications.

“We can rely on the brain of the human and the muscles, eyes and sense of touch of the robot in places where humans cannot, or should not, be,” said Khatib. “For example, we will be able to safely repair underwater structures

Toshiba Corp. has unveiled a remote-controlled robot with tongs that it hopes will be able to probe the inside of one of the three damaged reactors at Japan's tsunami-hit Fukushima nuclear plant and manipulate chunks of melted fuel.