Context-Awareness in Human-Robot Interaction: Approaches and Challenges

Pauline Chevalier, Bob Rinse Schadenberg, Amir Aly, Angelo Cangelosi, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationHRI '22 Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Subtitle of host publication17th ACM/IEEE International Conference on Human-Robot Interaction – (HRI’22)
PublisherIEEE
Pages1241-1243
Number of pages3
ISBN (Electronic)978-1-5386-8554-9
DOIs
Publication statusPublished - 29 Sept 2022
Event17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Online Event, Sapporo, Japan
Duration: 7 Mar 202211 Mar 2022
Conference number: 17
https://humanrobotinteraction.org/2022/

Conference

Conference17th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Abbreviated titleHRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2211/03/22
Internet address

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