Observation-Referenced Tissue Deformation Forecasting with Tool-Driven and Residual Dynamics
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-09
Sources
- EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
- Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting
- SimEndoGS: Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussians
- EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting
- Realistic Surgical Simulation from Monocular Videos
- Learning Mesh-Based Simulation with Graph Networks
- Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
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