Human-Machine Interaction Is Still Evolving, Note Global Robot Cluster Panelists

Experts from around the world share advances in robots and AI for assistance, rehabilitation, voice interaction, and industrial uses.


smartARM is working to improve accessibility to affordable, highly capable bionic limbs.
The Global Robot Cluster co-hosted a virtual event with MassRobotics and Silicon Valley Robotics examining progress in human-robot interaction for healthcare and industrial uses.

From prosthetics to voice controls and artificial intelligence, advances in multiple technologies are helping robots and assistive devices to work more closely with humans. Speakers during a virtual event on “The Evolution of Human-Robot Interaction” produced by the Global Robot Cluster last night explained how these systems can augment human capabilities and improve both industrial productivity and the quality of life.

In his opening remarks, Changho Kim, chairman of the Global Robot Cluster, noted that progress is being made worldwide in human-machine interfaces. The event involved experts from South Korea and Europe, as well as U.S. robotics clusters MassRobotics and Silicon Valley Robotics, which co-hosted.

The GRC welcomed new member Taipei Computer Association (TCA), and André Montaud, director of the Coboteam Auvergne-Rhône-Alpes robotics cluster, invited attendees to SIDO Lyon, a robotics exhibition in France in September.

Democratizing access and revising rehab

One of the top goals for researchers and companies developing wearable technologies is to democratize access to systems that can help people with disabilities.

Only 5% to 15% of amputees have access to advanced prostheses, said Hamayal Choudhry, founder and CEO of smartARM. His company is working on a low-cost bionic arm and hand that uses 3D printing and machine learning. It includes a camera embedded in the wrist to calcluate grasp, as well as pre-loaded grasps.

“We want this to be affordable, intelligent, and personalized,” he said. A companion app for training custom grips will be available as a service from Toronto-based smartARM.

A combination of human control and different robots promises more flexible treatment. “Rehabilitation robots must provide common ground between doctors, patients, and government sectors,” said Yeung Ki Kim, M.D., Ph.D., and founder and CEO of Leaders Rehab Robot. “We have diversified robots based on needs and evidence-based functionality, from very sophisticated to simple telemedicine models.”

The South Korea-based company has developed evidence-based function robotic systems that provide patient support, freeing clinical personnel to focus on helping patients improve their gait.

Improving assistance and robot touch

Exoskeletons are typically bulky and expensive, added Rob Palfreyman, CEO of Seismic Robotics, which spun out of military supplier SRI International in 2015. By contrast, Menlo Park, Calif.-based Seismic has commercialized the Flex-Drive electric muscles for “powered clothing” that's more wearable for worker safety and wellness applications.

Seismic's elastic system weighs a total of 7 lb. and is now availble for preorder. However, it is intended for commercial uses rather than therapeutic ones and includes behavior apps for construction and logistics. Healthcare reimbursements can be a challenge, particularly in the U.S., Palfreyman acknowledged.

“We're still exploring how this will be charged out,” he said. “It's not an FDA-approved device; it's ultimately a consumer product. We're willing to license it out to healthcare applications.”

In addition to machine vision, a sense of touch is essential for human-level manipulation. RasLabs originally developed its electroactive polymer with the intention of using it for actuation, said Peter Vicars, CEO of the MassRobotics resident in Boston.

“It can change shape with low voltage—12 to 15 volts—by 35%, and there's also an enormous attenuation of force,” he said. “With the smart material, we can make a sensor fit on the end of a traditional robotics gripper, providing a sense of touch similar to our own fingertips.”

RasLabs' sensors could fit inside a robotic gripper or prosthetic hand, and it is working on a soft gripper, said Vicars. “It has a sensitivity of 0.05 newtons—the touch of a feather,” he explained. The company is looking at working with existing robotic grippers, Vicars told Robotics 24/7.

Developers get tools for usability

Another goal for human-robot interaction that is becoming attainable is the ability for non-Ph.D.s to tell robots what to do.

“We won't need to program robots in the future,” said Matthias Scheutz, CEO of Thinking Robots Inc. in Boston. “Next-generation human-robot interaction will be task-based, multimodal, natural language instruction.” He shared a video demonstration of a robot responding to human directions without prior knowledge.

“We want to get from the DOS of robotics to Windows,” said Ross Mead, co-founder and CEO of Semio. “We call arora, our software platform for natural language-based applications, 'Android for androids.'”

The Los Angeles-based startup is developing tools for managing and deploying apps for social robots. “There are three categories of functionality—user interfaces, the app ecosystem, and developer tools,” Mead said.

Semio is designing for conversational interactions and includes some controls for making robots move. At the same time, major entertainment companies are interested in defining specific movements for branded characters, he said.

Semio robotics app development

Semio's arora is intended to help developers build features for human-robot interaction. Source: Semio AI

AI to aid industrial automation

Refinements to robotics hardware and AI software are also helping humans in industry. “We're using AI to fuel industrial automation and inspection,” said Dr. Anatoli Gorchet, co-founder and chief technology officer of Neurala. He described the use of deep neural networks (DNNs) for “trainable feature extractors” in quality inspection.

In other AI techniques, trying to train for all possible variations leads to infinite branching. “The system needs to correct wrong inferences,” Gorchet said.

“We've replaced deduction with induction and added the ability to add knowledge on the fly,” he added. “Systems need less training and less images.”

“What about computation at the edge?” asked Tom Ryden, executive director of MassRobotics and moderator of the panel discussion.

“Yes, we can do it [AI processing] on the factory floor,” replied Gorchet. Boston-based Neurala this month launched a European subsidiary, and this week, it raised $12 million to scale its VIA AI for industrial inspection.

“There are more startups and more experimentation than ever before,” observed Ryden. Progress in robotics and AI to benefit humanity will continue along multiple paths worldwide, agreed attendees.

Neurala said its Brain Builder Beta speeds up AI data preparation with an easy-to-use platform to manage and annotate training data. The tool was created for users with little to no experience creating AI solutions.

About the Author

Eugene Demaitre's avatar
Eugene Demaitre
Eugene Demaitre was editorial director of Robotics 24/7. Prior to joining Peerless Media, he was a senior editor at Robotics Business Review and The Robot Report. Demaitre has also worked for BNA (now part of Bloomberg), Computerworld, and TechTarget. He has participated in numerous robotics-related webinars, podcasts, and events worldwide.
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smartARM is working to improve accessibility to affordable, highly capable bionic limbs.

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