In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
Abstract: To tackle blind search, high computational complexity, and slow convergence in traditional RRT algorithms, this paper introduces an improved algorithm, G-RRT*, which integrates goal bias and ...
Abstract: For intelligent systems such as mobile robots and unmanned aerial vehicles, path planning is a core component, and path quality and time efficiency are important indicators for evaluating ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...
We present a variation of RRT* that can explore and exploit the search space (SE) in parallel using many-core GPUs, efficiently producing an initial path that is collision-free, kinematically ...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO ...
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