Robot Motion Planning Method Based on Deterministic Sampling
Yulan Hu, Qisong Zhang · 2010
With the robotic application of environmental complexity increasing, the traditional motion planning can not overcome the obstacles in the uncertainty space of the model and describe the problem, especially in an unknown environment, subject to environmental restrictions on the amount of information, the traditional sports planning algorithm may not run. Sampling-based motion planning is only through the configuration space of the sampling points to obtain obstacle collision detection information, to avoid running space, modeling, fully applicable to complex and unknown environment.