Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
— This paper describes a new extension to the Rapidly–exploring Random Tree (RRT) path planning algorithm. The Particle RRT algorithm explicitly considers uncertainty in its do...
This paper presents a new needle path planning method for digital breast tomosynthesis biopsy. Needle insertion planning into deformable tissue for breast biopsy procedure is a cha...
Abstract— We consider the problem of planning collisionfree motions for general (i.e., possibly nonholonomic) redundant robots subject to task space constraints. Previous approac...