Prehensile Manipulation Planning: Modeling, Algorithms and Implementation
Abstract
This paper presents a software platform tailored for prehensile manipulation planning named Humanoid Path Planner. The platform implements an original way of modeling manipulation planning through a constraint graph that represents the numerical constraints that define the manipulation problem. We propose an extension of the RRT algorithm to manipulation planning that is able to solve a large variety of problems. We provide replicable experimental results via a docker image that readers may download to run the experimental results by themselves.
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