Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Abstract— This paper explores autonomous locomotion, reaching, grasping and manipulation for the domain of Navigation Among Movable Obstacles (NAMO). The robot perceives and cons...
Mike Stilman, Koichi Nishiwaki, Satoshi Kagami, Ja...
—Based on a study of the engagement process between humans, we have developed and implemented an initial computational model for recognizing engagement between a human and a huma...
Charles Rich, Brett Ponsleur, Aaron Holroyd, Canda...
Our group builds robots to operate in natural, social environments. The challenge of interacting with humans constrains how our robots appear physically, how they move, how they p...
Cynthia Breazeal, Aaron Edsinger, Paul M. Fitzpatr...
— We propose a novel solution to the problem of inverse kinematics for redundant robotic manipulators for the purposes of goal selection for path planning. We unify the calculati...