4 citations · 6 across the 5 of their papers we have counts for
5 papers
RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
Entong Su, Tyler Westenbroek, Anusha Nagabandi +1
Imitation learning has emerged as an effective approach for bootstrapping sequential decision-making in robotics, achieving strong performance even in high-dimensional dexterous ma…
DRAWER: Digital Reconstruction and Articulation With Environment Realism
Hongchi Xia, Entong Su, Marius Memmel +7
Creating virtual digital replicas from real-world data unlocks significant potential across domains like gaming and robotics. In this paper, we present DRAWER, a novel framework th…
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning
Entong Su, Chengzhe Jia, Yuzhe Qin +4
Using tactile sensors for manipulation remains one of the most challenging problems in robotics. At the heart of these challenges is generalization: How can we train a tactile-base…
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics
Fei Liu, Entong Su, Jingpei Lu +2
Robot manipulation of rope-like objects is an interesting problem that has some critical applications, such as autonomous robotic suturing. Solving for and controlling rope is diff…
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics
Fei Liu, Mingen Li, Jingpei Lu +2
Simulation modeling of robots, objects, and environments is the backbone for all model-based control and learning. It is leveraged broadly across dynamic programming and model-pred…