UCSD ARCLAB https://validator.w3.org/feed/docs/rss2.html Robotic Planetary Explorer (EELS/ARCSnake) Active Projects Home People SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments Humanoids in Hospitals: A Technical Study of Humanoid Surrogates for Dexterous Medical Interventions MEDiC: Autonomous Surgical Robotic Assistance to Maximizing Exposure for Dissection and Cautery AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning KineDepth: Utilizing Robot Kinematics for Online Metric Depth Estimation Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation Open x-embodiment: Robotic learning datasets and rt-x models Autonomous Image-to-Grasp Robotic Suturing Using Reliability-Driven Suture Thread Reconstruction Haptic Shoulder for Rendering Biomechanically Accurate Joint Limits for Human-Robot Physical Interactions CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera Tracking Snake-like Robots in the Wild Using Only a Single Camera Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries Bridging Real-to-Sim Gaps through Online Stiffness Optimization with Perception-Enabled Residual Mapping HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management DROID: A large-scale in-the-wild robot manipulation dataset Flexible attention-based multi-policy fusion for efficient deep reinforcement learning AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery Towards Non-Parametric Models for Confidence Aware Image Prediction from Low Data using Gaussian Processes Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints Tracking and mapping in medical computer vision: A review Multi-catheter flexible robotic system Surgical perception framework for robotic tissue manipulation Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives BAA-NGP: Bundle-adjusting accelerated neural graphics primitives The current state of autonomous suturing: a systematic review CRANE: A Redundant, Multi-Degree-of-Freedom Computed Tomography Robot for Heightened Needle Dexterity within a Medical Imaging Bore Rendering of Cystoscopy Video Footage: A Novel Method Utilizing Neural Radiance Field Processing Open Robotic Thyroidectomy in a Porcine Model as a Tool for Translating Novel Robotic Technologies Suture thread spline reconstruction from endoscopic images for robotic surgery with reliability-driven keypoint detection SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation Real-to-simulation matching of deformable soft tissue and other objects with position-based dynamics for robot control NASU–Novel Actuating Screw Unit: Origami-inspired Screw-based Propulsion on Mobile Ground Robots Object-Centric Representations for Interactive Online Learning with Non-Parametric Methods ORRN: An ODE-based recursive registration network for deformable respiratory motion estimation with lung 4DCT images Real-time constrained 6d object-pose tracking of an in-hand suture needle for minimally invasive robotic surgery Robotic manipulation of deformable rope-like objects using differentiable compliant position-based dynamics Design and Mechanics of Cable-Driven Rolling Diaphragm Transmission for High-Transparency Robotic Motion Finding biomechanically safe trajectories for robot manipulation of the human body in a search and rescue scenario Image-based pose estimation and shape reconstruction for robot manipulators and soft, continuum robots via differentiable rendering Opportunities