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...
— One of the common applications for outdoor robots is to follow a path in large scale unknown environments. This task is challenging due to the intensive memory requirements to ...
Jinhan Lee, Roozbeh Mottaghi, Charles Pippin, Tuck...
We presenta real-time robot motion plannerthatis fastandcomplete to a resolution. The technique is guaranteed to find a path if one exists at the resolution, and all paths returne...
Jed Lengyel, Mark Reichert, Bruce Randall Donald, ...
Abstract— In this paper, we present an incremental, multiresolution motion planning algorithm designed for systems with differential constraints. Planning for these sytems is mor...
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...