most citedReducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks

23 citations · 23 across the 1 of their papers we have counts for

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cs.RO2022★ 23 cited

Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks

Chenning Yu, Sicun Gao

Sampling-based motion planning is a popular approach in robotics for finding paths in continuous configuration spaces. Checking collision with obstacles is the major computational…