No Matter the Task, This New Exoskeleton AI Controller Can Handle It
A leap forward in artificial intelligence control from Georgia Tech engineers could one day make robotic assistance for everyday activities as easy as putting on a pair of pants.
Researchers have developed a task-agnostic controller for robotic exoskeletons that’s capable of assisting users with all kinds of leg movements, including ones the AI has never seen before.
It’s the first controller able to support a dozens of realistic human lower limb movements, including dynamic actions like lunging and jumping, as well as more typical unstructured movements like starting and stopping, twisting, and meandering.
Paired with a slimmed down exoskeleton integrated into a pair of athletic pants that was designed by X, “The Moonshot Factory,” the system requires no calibration or training. Users can put on the device, activate the controller, and go.
The study was led by researchers in the George W. Woodruff School of Mechanical Engineering (ME) and the Georgia Tech Institute for Robotics and Intelligent Machines.
Their system takes a first big step toward devices that could help people navigate the real world, not just the controlled environment of a lab. That could mean helping airline baggage handlers move hundreds of suitcases or factory workers with heavy, labor-intensive tasks. It could also mean improving mobility for older adults or stroke patients who can’t get around as well as they used to.
“The idea is to provide real human augmentation across the high diversity of tasks that people do in their everyday lives, and that could be for clinical applications, industrial applications, recreation, or the military,” said Aaron Young, ME associate professor and the senior researcher on a study describing the controller published Nov. 13 in the journal Nature.
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A new exoskeleton controller developed by Georgia Tech engineers works for dozens of dozens of realistic human lower limb movements, including dynamic actions like tug-of-war and jumping, as well as more typical unstructured movements like starting and stopping, twisting, and meandering. (Photo: Candler Hobbs)