Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...
Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
Abstract: The RRT* algorithm plays an important role in the path planning of mobile robots due to its path optimization ability. However, RRT* still has problems such as low sampling efficiency, ...
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