Abstract
To be seamlessly integrated in human-centered environments, robots are expected to have intelligent social capabilities on top of their physical abilities. To this end, research in artifi-cial intelligence and human-robot interaction face two major challenges. Firstly, robots need to cope with uncertainty during interaction, especially when dealing with factors that are not fully observable and hard to infer (latent variables) such as the states representing the dynamic environment and human behavior (e.g., intents, goals, preferences). Secondly, robots need to communicate their behaviors to agents (humans and other robots in the environment) in a clear and understandable manner. Therefore, robots need to be context-aware: being able to perceive and understand their surroundings, and adapt their functionalities accordingly.
Original language | English |
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Title of host publication | HRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction |
Subtitle of host publication | 17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22) |
Publisher | IEEE |
Pages | 1241-1243 |
Number of pages | 3 |
ISBN (Electronic) | 978-1-5386-8554-9 |
DOIs | |
Publication status | Published - 29 Sept 2022 |
Event | 17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Online Event, Sapporo, Japan Duration: 7 Mar 2022 → 11 Mar 2022 Conference number: 17 https://humanrobotinteraction.org/2022/ |
Conference
Conference | 17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 |
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Abbreviated title | HRI 2022 |
Country/Territory | Japan |
City | Sapporo |
Period | 7/03/22 → 11/03/22 |
Internet address |