— We explore global randomized joint space path planning for articulated robots that are subject to task space constraints. This paper describes a representation of constrained m...
— We present an approach to motion planning for highly articulated systems that aims to ensure robust execution by augmenting the planning process to reason about the robot’s a...
Philipp Michel, Christian Scheurer, James J. Kuffn...
—In this paper, we consider the control system Σ defined by the rolling of a strictly convex surface S of IR3 on a plane without slipping or spinning. The purpose of this paper...
— Computationally efficient motion planning must avoid exhaustive exploration of configuration space. We argue that this can be accomplished most effectively by carefully balan...
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...