Latest

• DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
• One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
• CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
• Motion Policy Networks
• DefGraspSim: Physics-based simulation of grasp outcomes on 3D deformable objects
• DefGraspSim: Simulation-based grasping of 3D deformable objects
• ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
• Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
• Object Rearrangement Using Learned Implicit Collision Functions
• 6-DOF Grasping for Target-driven Object Manipulation in Clutter
• Self-supervised 6D Object Pose Estimation for Robot Manipulation
• Representing Robot Task Plans as Robust Logical-Dynamical Systems
• 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
• A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set