ProCut: Probabilistic Cutting Topology for Autonomous Electrosurgical Tissue Dissection
cs.RO
Submitted: 2026-10-05
Updated: 2026-10-07
Code: https://github.com/nvidia/warp
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction using Neural Radiance Fields
- Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback
- RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects
- SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing
- DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
- MEDiC: Autonomous Surgical Robotic Assistance to Maximizing Exposure for Dissection and Cautery
- A Framework For Automated Dissection Along Tissue Boundary
- Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
- Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints
- Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments
- Segment Anything
- AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care
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