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ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy
Simulations for learning-based autonomous colonoscopic navigation focus mainly on fully actuated capsule robots, failing to capture the contact-rich navigation of long and flexible clinical colonoscopes. We present the Autonomous Robotic Colonoscopy Gym (ARCGym), an open-source reinforcement learnin
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