Researchers have created a control system that makes robots more intelligent.
Using arm sensors that can “read” a person’s muscle movements, Georgia Institute of Technology researchers have created a control system that makes robots more intelligent. The sensors send information to the robot, allowing it to anticipate a human’s movements and correct its own. The system is intended to improve time, safety and efficiency in manufacturing plants.
It’s not uncommon to see large, fast-moving robots on manufacturing floors. Humans seldom work next to them because of safety reasons. Some jobs, however, require people and robots to work together. For example, a person hanging a car door on a hinge uses a lever to guide a robot carrying the door. The power-assisting device sounds practical but isn’t easy to use.
“It turns into a constant tug of war between the person and the robot,” explains Billy Gallagher, a recent Georgia Tech Ph.D. graduate in robotics who led the project. “Both react to each other’s forces when working together. The problem is that a person’s muscle stiffness is never constant, and a robot doesn’t always know how to correctly react.”
For example, as human operators shift the lever forward or backward, the robot recognizes the command and moves appropriately. But when they want to stop the movement and hold the lever in place, people tend to stiffen and contract muscles on both sides of their arms. This creates a high level of co-contraction.
“The robot becomes confused. It doesn’t know whether the force is purely another command that should be amplified or ‘bounced’ force due to muscle co-contraction,” said Jun Ueda, Gallagher’s advisor and a professor in the Woodruff School of Mechanical Engineering. “The robot reacts regardless.”
The robot responds to that bounced force, creating vibration. The human operators also react, creating more force by stiffening their arms. The situation and vibrations become worse.
“You don’t want instability when a robot is carrying a heavy door,” said Ueda.
The Georgia Tech system eliminates the vibrations by using sensors worn on a controller’s forearm. The devices send muscle movements to a computer, which provides the robot with the operator’s level of muscle contraction. The system judges the operator’s physical status and intelligently adjusts how it should interact with the human. The result is a robot that moves easily and safely.
“Instead of having the robot react to a human, we give it more information,” said Gallagher. “Modeling the operator in this way allows the robot to actively adjust to changes in the way the operator moves.”
Ueda will continue to improve the system using a $1.2 million National Robotics Initiative grant supported by a National Science Foundation grant (1317718) to better understand the mechanisms of neuromotor adaptation in human-robot physical interaction. The research is intended to benefit communities interested in the adaptive shared control approach for advanced manufacturing and process design, including automobile, aerospace and military.
“Future robots must be able to understand people better,” Ueda said. “By making robots smarter, we can make them safer and more efficient.”
The Latest on: Robots
via Google News
The Latest on: Robots
- Robots Help Atlanta Players Visit Kids In Hospitalon October 12, 2020 at 4:38 pm
Atlanta United players recently visited patients virtually using robots at Children's Healthcare of Atlanta – Egleston Hospital.
- Cleaning Robots Market to See Huge Growth by 2025: iRobot, Neato Robotics, LG Electronicson October 12, 2020 at 12:39 pm
Latest added Global Cleaning Robots Market research study by AMA Research offers detailed outlook and elaborates market review till 2025. The market Study is segmented by key regions that are ...
- Kindred SORT AI Robots Pick 100 Million Lifetime Unitson October 12, 2020 at 8:14 am
Kindred reports that its installed fleet of its AI-powered SORT robots have picked a lifetime of 100 million retail units since market launch in 2017. Kindred also released information from its Q4 202 ...
- Hospitality and manufacturing jobs at risk as coronavirus accelerates rise of the robotson October 11, 2020 at 6:40 pm
Jobs in hospitality, leisure, and manufacturing are among the most likely to be lost as the coronavirus pandemic accelerates the The post Hospitality and manufacturing jobs at risk as coronavirus ...
- Humankind’s Origins, Medical Mysteries and Robots: Check Out These Must-Read Science Bookson October 11, 2020 at 6:18 am
Looking for a good science book but aren't sure of where to start? We've got you covered.
- PlayStation Creator Shifts Focus To Robots And Automationon October 10, 2020 at 11:38 am
The creator of the original PlayStation console is back to make new machines, though they probably aren't what you'd expect. Ken Kutaragi has moved from video games to robots, and he aims to help ...
- What tiny surfing robots teach us about surface tensionon October 9, 2020 at 3:43 pm
Propelled by chemical changes in surface tension, microrobots surfing across fluid interfaces lead researchers to new ideas.
- PlayStation Inventor Starts New Career Making Robots for No Payon October 8, 2020 at 4:34 pm
Ken Kutaragi, the legendary inventor of the PlayStation gaming console, is taking on one of the hardest jobs in robotics. And he’s getting paid nothing to do it.
- Enhanced computer vision, sensors raise manufacturing stakes for robots as a serviceon October 8, 2020 at 10:09 am
Firms developing computer vision technology for standard robots, developments in 3D vision and so-called “Robots as a Service” are defining the next wave of automation.
- COVID-19 Recovery Analysis: Spot Welding Robots Market | High Operational Efficiency of Spot Welding Robots to Boost Market Growth | Technavioon October 7, 2020 at 7:19 am
Technavio has announced its latest market research report titled Global Spot Welding Robots Market 2020-2024 (Graphic: ) Although the COVID-19 pandemic continues to transform the growth of various ...
via Bing News