Recent findings have shown that humans can adapt their internal control model to account for the changing dynamics of systems they manipulate. In this paper, we explore the effect...
Ali Israr, Hakan Kapson, Volkan Patoglu, Marcia Ki...
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
As robots become more complex by incorporating dynamic stability or greater mechanical degrees of freedom, the difficulty of developing control algorithms directly on the robot in...
This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical gures that are eq...
Abstract— This paper presents a methodology for the modeling and control of internal forces and moments produced during multi-contact interactions between humanoid robots and the...