An Adaptable, Safe, and Portable Robot-Assisted Feeding System
E. Gordon
Rajat Kumar Jenamani
Amal Nanavati
Ziang Liu
Haya Bolotski
Raida Karim
Daniel Stabile
Atharva Kashyap
Bernie Hao Zhu
Xilai Dai
Tyler Schrenk
Jonathan Ko
Taylor Kessler Faulkner
T. Bhattacharjee
S. Srinivasa

Abstract
We demonstrate a robot-assisted feeding system that enables people with mobility impairments to feed themselves. Our system design embodies Safety, Portability, and User Control, with comprehensive full-stack safety checks, the ability to be mounted on and powered by any powered wheelchair, and a custom web-app allowing care-recipients to leverage their own assistive devices for robot control. For bite acquisition, we leverage multi-modal online learning to tractably adapt to unseen food types. For bite transfer, we leverage real-time mouth perception and interaction-aware control. Co-designed with community researchers, our system has been validated through multiple end-user studies.
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