High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning
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Updated
Jan 30, 2024 - Python
High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning
[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
PyTorch implementation of the paper Overcoming Exploration in Reinforcement Learning with Demonstrations in surgical robot manipulation tasks.
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Automatic alignment of surgical videos using kinematic data
An open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/
Practical lab session project about reinforcement learning for robot control in surgery.
The official implementation of the methods proposed in “A Level 2 Autonomous Surgical Robotic System for Coronary Interventional Surgery”.
NEOSENS: Assessing AI Robustness to Input Noise in Real-World Scenarios.
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