Parameter Optimization for Manipulator Motion Planning using a Novel Benchmark Set
Carl Gaebert,Sascha Kaden,Benjamin Fischer,Ulrike Thomas,Carl Gaebert,Sascha Kaden,Benjamin Fischer,Ulrike Thomas
Sampling-based motion planning algorithms have been continuously developed for more than two decades. Apart from mobile robots, they are also widely used in manipulator motion planning. Hence, these methods play a key role in collaborative and shared workspaces. Despite numerous improvements, their performance can highly vary depending on the chosen parameter setting. The optimal parameters depend...
