首页 /研究 /Context-Awareness in Human-Robot Interaction: Approaches and Challenges
HRI

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

Pauline Chevalier, Bob R. Schadenberg, Amir Aly, Angelo Cangelosi, Adriana Tapus

发表年份
2022
引用次数
5

摘要

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.

关键词

RobotHuman–computer interactionComputer scienceContext (archaeology)Human–robot interactionArtificial intelligenceAmbient intelligenceSocial intelligenceFace (sociological concept)Psychology

相关论文

查看 HRI 分类全部论文