4 citations · 6 across the 3 of their papers we have counts for
6 papers
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…
Robotic Tool Tracking under Partially Visible Kinematic Chain: A Unified Approach
Florian Richter, Jingpei Lu, Ryan K. Orosco +1
Anytime a robot manipulator is controlled via visual feedback, the transformation between the robot and camera frame must be known. However, in the case where cameras can only capt…
Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy
Fei Liu, Zihan Li, Yunhai Han +3
Autonomy in robotic surgery is very challenging in unstructured environments, especially when interacting with deformable soft tissues. The main difficulty is to generate model-bas…
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
Jingpei Lu, Ambareesh Jayakumari, Florian Richter +2
Robotic automation in surgery requires precise tracking of surgical tools and mapping of deformable tissue. Previous works on surgical perception frameworks require significant eff…
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li, Florian Richter, Jingpei Lu +4
Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly specialized modeled roboti…