Endowing Robots with the Ability of Intention Recognition and Decision Making
Talk abstract:
Recognizing human intentions is considered a crucial ability of assistive robots to endow them with predictive capabilities. This allows them to not only adapt to the current situation, but also to anticipate human behavior and adjust own decisions accordingly. In this talk, we will emphasize typical challenges faced in developing robot intention recognition and decision making systems, whereby specific focus will be given to systems for the recognition of human actions and plans as well as for decision making behind the orchestration of actions, both inspired from humans.