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Sampling-based A algorithm for robot
the-art use of simulated annealing in motion planning (Zucker et al., 2013). We mention these methods mainly because one of the central novelty in the present paper is the application of a simulated annealing strategy to balance exploration and exploitation in the proposed sampling-based motion planner. This paper is organized as follows.
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