A survey of some early work proposes a classification scheme to review various motion-planning approaches and related parallel processing methods. A more Star Student Project recent trend is to exploit the multi-core technology available on many of today’s PCs, which allows having multiple threads collaboratively solving a problem. Another recent trend consists of using shared-memory models on many-core graphics processing units (GPUs). Among classical approaches, the Star Student Project embarrassingly parallel paradigm exploits the fact that some randomized algorithms, such as the probabilistic road map (PRM), are what is termed “embarrassingly parallel”.
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