BioengineeringbioRxivPreprint
Closing the Sim-to-Real Gap: An End-to-End Robotic Ultrasound System Leveraging In Vivo Reinforcement Learning and 3D-Prior Guided Hybrid Control
Hui Tang, Chenxi Xie, Boyang Zhou…·Meng Yang
This paper introduces an end-to-end robotic ultrasound system using reinforcement learning and hybrid control to improve scan quality and consistency in abdominal imaging.