Abstract. This paper describes a multi-disciplinary initiative to promote collaborative research in enactive artificial cognitive systems by developing the iCub : a open-systems 53...
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Abstract—This paper presents a new methodology for the analysis and control of internal forces and center-of-mass (CoM) behavior, which are produced during multicontact interacti...
Engineers have long used control systems utilizing models and feedback loops to control realworld systems. Limitations of model-based control led to a generation of intelligent co...
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratana...
— This paper describes improvement of sound source separation for a simultaneous automatic speech recognition (ASR) system of a humanoid robot. A recognition error in the system ...