Building the Next Generation of Intelligent Machines

Temporal Difference Metric Learning for Robot Motion Planning

Abstract— A novel self-supervised temporal difference metric learning approach that solves the Eikonal PDE for robot motion planning.

ICLR'25

Physics-informed Neural Mapping and Motion Planning

Abstract— A self-supervised neural framework that actively explores the unknown environment and maps its arrival time field for robot motion planning.

TRO'25

Integrating Active Sensing and Rearrangement Planning for Object Retrieval

Abstract— An integrated active sensing and rearrangement planning approach for object retrieval from unknown environments.

ICRA'25

Physics-informed Constrained Motion Planning

Abstract— A self-supervised Neural Eikonal PDE solver for robot motion planning on constraint manifold.

ICRA'24

NeRP: Neural Rearrangement Planning for Unknown Objects

Abstract— NeRP is a learning-based approach for multi-step neural object rearrangement planning with never-before-seen objects in the real world.

RSS'21

Constrained Motion Planning Networks X

Abstract— CoMPNetX is a neural planning approach with a fast projection operator for solving constrained manipulation tasks.

TRO'21