We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
We describe an automated scene modeling system that consists of two components operating in an interleaved fashion: an incremental modeler that builds solid models from range imag...
This paper describes TEMPEST, a planner that enables a solar-powered rover to reason about path selection and event placement in terms of available solar energy and anticipated po...
The care of the elder at home is highly demanded in modern societies. It is based on the difficult task of coordinating multiple professionals and procedures acting on the same pa...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...