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Rice Roboticists Fold Perception Directly Into Motion Planning
Rice researchers have integrated perception scoring directly into motion planning algorithms for high-degree-of-freedom robots, rather than treating visual perception as an afterthought. Their GPU-parallelized approach, called PS-PRM, improved object detection rates above 70% and tracking rates around 90% compared to classical baselines that often fell below 50%.
