A new method leverages AI and computer simulations to train robotic exoskeletons that can help users save energy while walking, running, and climbing stairs. The novel method rapidly develops exoskeleton controllers to assist locomotion without relying on lengthy human-involved experiments.
It can also apply to knee or ankle exoskeletons, or other multi-joint exoskeletons. In addition, it can similarly be applied to above-the-knee or below-the-knee prosthesis, providing immediate benefits for millions of able-bodied and mobility-impaired individuals.
The researchers focused on improving autonomous control of embodied AI systems – which are systems where an AI program is integrated into a physical technology. This work focused on teaching robotic exoskeletons how to assist able-bodied people with a variety of movements.
The unit is pre-programmed to be ready to use right away, and it’s also possible to update the controller on the hardware if researchers make improvements in the lab through expanded simulations. Future prospects for this project include developing individualized, custom-tailored controllers that assist users for various activities of daily living. (Image Credit: NJIT)
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