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 artificial 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 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.

Our workshop aims at gathering the latest theoretical and practical research studies and expertise in intelligent social robotics at the intersection of different rapidly growing communities, including artificial intelligence, machine learning, and human-robot interaction. Besides, the workshop will allow participants and renowned researchers from academia and industry to discuss, in a multidisciplinary panel discussion, the current and long-term challenges for context-awareness in human-robot interactions.

Registration: TBA