Learning

Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty

Safe motion planning approach for noisy sensor measurement representation of the environment using a stochastic neural implicit representation and chance constrained optimization.

MotionBenchMaker A Tool to Generate and Benchmark Motion Planning Datasets

Open source tool to generate benchmarking datasets for robot manipulation problems.

Human-Guided Motion Planning in Partially Observable Environments

Human-in-the-loop algorithm to compute joint-space trajectories for high-DoF robots under partial observability

Neural Network Pruning - A review

Review of methods to prune neural networks