← Search

Youssef Khaky

2 accepted papers

2025

Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments

CoRL 2025poster

Generating collision-free motion in dynamic, partially observable environments is a fundamental challenge for robotic manipulators. Classical motion planners can compute globally optimal trajectories but require full environment knowledge and are typically too slow for dynamic scenes. Neural motion…

Cited by 0SourceScholar
2025

Neural MP: A Neural Motion Planner

IROS 2025

The current paradigm for motion planning generates solutions from scratch for every new problem, which consumes significant amounts of time and computational resources. For complex, cluttered scenes, motion planning approaches can often take minutes to produce a solution, while humans are able to ac

Cited by 0SourcecodeScholar