41 citations · 92 across the 10 of their papers we have counts for
4 papers · 1 filter
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee +1
Sampling-based motion planning techniques have emerged as an efficient algorithmic paradigm for solving complex motion planning problems. These approaches use a set of probing samp…
Neural Collision Clearance Estimator for Batched Motion Planning
J. Chase Kew, Brian Ichter, Maryam Bandari +2
We present a neural network collision checking heuristic, ClearanceNet, and a planning algorithm, CN-RRT. ClearanceNet learns to predict separation distance (minimum distance betwe…
Long Range Neural Navigation Policies for the Real World
Ayzaan Wahid, Alexander Toshev, Marek Fiser +1
Learned Neural Network based policies have shown promising results for robot navigation. However, most of these approaches fall short of being used on a real robot due to the exten…
Long-Range Indoor Navigation with PRM-RL
Anthony Francis, Aleksandra Faust, Hao-Tien Lewis Chiang +4
Long-range indoor navigation requires guiding robots with noisy sensors and controls through cluttered environments along paths that span a variety of buildings. We achieve this wi…