In this paper, we present a motion planning framework for a fully deployed autonomous unmanned aerial vehicle which integrates two sample-based motion planning techniques, Probabi...
— This paper describes a test-bed for planar micro manipulation tasks and a framework for planning based on quasistatic models of mechanical systems with frictional contacts. We ...
David J. Cappelleri, Jonathan Fink, Barry Munkunda...
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...