EndoRSI: Physical-Evidence-Driven Recursive Improvement of Endoscopic Robot Policies
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-09
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
- Qwen3-VL Technical Report
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
- BiliVLA: Scene-Aware Vision-Language-Action Model with Reinforcement Learning for Autonomous Biliary Endoscopic Navigation
- EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation
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