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 language | English |
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Title of host publication | AAAI Fall Symposium Series Technical Reports |
Publisher | AAAI Press |
Publication status | Published - 13 Nov 2019 |
Event | AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction - Arlington, United States Duration: 7 Nov 2019 → 9 Nov 2019 |
Conference
Conference | AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction |
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Abbreviated title | AI-HRI 2019 |
Country/Territory | United States |
City | Arlington |
Period | 7/11/19 → 9/11/19 |
Keywords
- cs.HC
- cs.AI
- cs.RO