Towards an Adaptive Robot for Sports and Rehabilitation Coaching

Martin K. Ross, Frank Broz, Lynne Baillie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The work presented in this paper aims to explore how, and to what extent, an adaptive robotic coach has the potential to provide extra motivation to adhere to long-term rehabilitation and help fill the coaching gap which occurs during repetitive solo practice in high performance sport. Adapting the behavior of a social robot to a specific user, using reinforcement learning (RL), could be a way of increasing adherence to an exercise routine in both domains. The requirements gathering phase is underway and is presented in this paper along with the rationale of using RL in this context.
Original languageEnglish
Title of host publicationAAAI Fall Symposium Series Technical Reports
PublisherAAAI Press
Publication statusPublished - 13 Nov 2019
EventAAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction - Arlington, United States
Duration: 7 Nov 20199 Nov 2019

Conference

ConferenceAAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction
Abbreviated titleAI-HRI 2019
CountryUnited States
CityArlington
Period7/11/199/11/19

Keywords

  • cs.HC
  • cs.AI
  • cs.RO

Fingerprint Dive into the research topics of 'Towards an Adaptive Robot for Sports and Rehabilitation Coaching'. Together they form a unique fingerprint.

Cite this