Ergodicity reveals assistance and learning from physical human-robot interaction

Abstract

A measure of task information encoded by motion identifies differences between movements that are not captured by standard measures.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 10, 2019
Source ID
10.1126/scirobotics.aav6079

Entities

People

  • Ana Maria Acosta
  • Julius P A Dewald
  • Kathleen Fitzsimons
  • Todd D Murphey

Organizations

  • National Science Foundation
  • Northwestern University
  • United States Department of Defense

Tags

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction