5 papers · 1 filter
OCTN: Neural OCT Representations for Robot-Guided Precision Intervention
Ravi Prakash, Ryan P. McNabb, Patrick J. Codd +1
Optical coherence tomography (OCT) offers compact, contactless, micron-scale imaging suitable for intraoperative guidance, but native OCT volumes are discretely sampled, anisotropi…
CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera
Jingpei Lu, Zekai Liang, Tristin Xie +4
Camera-to-robot calibration is crucial for vision-based robot control and requires effort to make it accurate. Recent advancements in markerless pose estimation methods have elimin…
Efficient Data-driven Joint-level Calibration of Cable-driven Surgical Robots
Haonan Peng, Andrew Lewis, Yun-Hsuan Su +5
Knowing accurate joint positions is crucial for safe and precise control of laparoscopic surgical robots, especially for the automation of surgical sub-tasks. These robots have oft…
Tracking Snake-like Robots in the Wild Using Only a Single Camera
Jingpei Lu, Florian Richter, Shan Lin +1
Robot navigation within complex environments requires precise state estimation and localization to ensure robust and safe operations. For ambulating mobile robots like robot snakes…
Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery
Xiao Liang, Fei Liu, Yutong Zhang +3
Accurate deformable object manipulation (DOM) is essential for achieving autonomy in robotic surgery, where soft tissues are being displaced, stretched, and dissected. Many DOM met…