— We report our development of a vision-based motion planning system for an autonomous motorcycle designed for desert terrain, where uniform road surface and lane markings are no...
Dezhen Song, Hyun Nam Lee, Jingang Yi, Anthony Lev...
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...
Abstract— In this paper, we present an incremental, multiresolution motion planning algorithm designed for systems with differential constraints. Planning for these sytems is mor...
— The configuration space of a robot is partitioned into free space and C-obstacle space. Most of the prior work in collision detection and motion planning algorithms is targete...
Liangjun Zhang, Young J. Kim, Gokul Varadhan, Dine...
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
— Motion planning for robotic arms is important for real, physical world applications. The planning for arms with high-degree-of-freedom (DOF) is hard because its search space is...
— Distributed motion planning of multiple agents raises fundamental and novel problems in control theory and robotics. Recently, one such great challenge has been the development...
— The success of sampling-based motion planners has resulted in a plethora of methods for improving planning components, such as sampling and connection strategies, local planner...
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
Matthew Zucker, James J. Kuffner, Michael S. Brani...
—In disaster areas, office buildings, or at home, multiple autonomous networked mobile robots may act instead of human beings. These robots have to move to their destination so ...