Prediction of intent in robotics and multi-agent systems.
Moving beyond the stimulus contained in observable agent behaviour, i.e. understanding the underlying intent of the observed agent is of immense interest in a variety of domains that involve collaborative and competitive scenarios, for example assistive robotics, computer games, robot-human interaction, decision support and intelligent tutoring. This review paper examines approaches for performing action recognition and prediction of intent from a multi-disciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying challenges, focusing mainly on generative approaches.
Demiris
Yiannis
Y
Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK. y.demiris@imperial.ac.uk
D000465:Algorithms; D001288:Attention / Q000502:physiology; D006801:Humans; D033182:Intention; D008959:Models, Neurological; D021641:Recognition, Psychology / Q000502:physiology*; D012371:Robotics; D012984:Software