Assistive robots can help people with upper extremity disabilities perform tasks like eating, grooming, and grasping objects. However, such devices have a hard time learning new tasks. “They need a lot of demos…and people with disabilities aren’t able to provide these demos,” says UCF’s Aman Behal. “If they can, they might not be the best demos for the robot to learn from.”
Behal’s new project will aim to create intelligent, mobile robotic assistants that offer easier control and a better robot-human interface. Initial testing will be conducted with students, followed by studies involving adults with upper body paralysis. The team will survey the participants to find out how many times they had to tell the robot to perform a task, how long it took for the robot to complete the action, how many mistakes were made, and how satisfied they were with the robot’s assistance.
View Related Expert Profiles: Go to Source
