AM-Bench: Aerial Manipulation Benchmark
A modular simulation suite and benchmark for studying how aerial-robot embodiment, low-level control, disturbances, and policy design jointly affect manipulation performance.
Projects
Contact-Aware Aerial Manipulation
A fully onboard perception and control system that enables an aerial manipulator to approach a target, establish contact, and regulate interaction forces without motion capture.
Learning-Based UAV Trajectory Planning
A self-supervised planning pipeline that combines learned depth perception with differentiable trajectory optimization for robust UAV navigation.
Fast Exploration with UAV Swarms
A multi-UAV exploration framework that allocates unknown regions while accounting for obstacle distribution and local environmental complexity.