1 citations · 1 across the 2 of their papers we have counts for
5 papers
Overcoming Imperfect Kinematics in Surgical Robotics Through Sim-to-Real Visuomotor Learning
Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu +2
Robot-Assisted Surgery is integral to modern minimally invasive procedures, with automation emerging as the next frontier to enhance precision and reduce surgeon fatigue. This evol…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Hybrid Deep Reinforcement Learning for Radio Tracer Localisation in Robotic-assisted Radioguided Surgery
Hanyi Zhang, Kaizhong Deng, Zhaoyang Jacopo Hu +2
Radioguided surgery, such as sentinel lymph node biopsy, relies on the precise localization of radioactive targets by non-imaging gamma/beta detectors. Manual radioactive target de…
Automatic Robotic-Assisted Diffuse Reflectance Spectroscopy Scanning System
Kaizhong Deng, Christopher J. Peters, George P. Mylonas +1
Diffuse Reflectance Spectroscopy (DRS) is a well-established optical technique for tissue composition assessment which has been clinically evaluated for tumour detection to ensure…
Memorized action chunking with Transformers: Imitation learning for vision-based tissue surface scanning
Bochen Yang, Kaizhong Deng, Christopher J Peters +2
Optical sensing technologies are emerging technologies used in cancer surgeries to ensure the complete removal of cancerous tissue. While point-wise assessment has many potential a…