Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning
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DOI: 10.1109/lra.2022.3186511
Abstract: Exploration is a fundamental problem in robotics. While sampling-based planners have shown high performance and robustness, they are oftentimes compute intensive and can exhibit high variance. To this end, we propose to learn both components… read more here.
Keywords: robotics; fast compute; compute efficient; sampling based ... See more keywords