2 citations · 5 across the 5 of their papers we have counts for
5 papers
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery
Ruiqi Zhu, Dandan Zhang, Benny Lo
In recent decades, the tremendous benefits surgical robots have brought to surgeons and patients have been witnessed. With the dexterous operation and the great precision, surgical…
Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation
Dandan Zhang, Zicong Wu, Junhong Chen +10
Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstrat…
Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction
Dandan Zhang, Ruoxi Wang, Benny Lo
Minimally invasive surgery mainly consists of a series of sub-tasks, which can be decomposed into basic gestures or contexts. As a prerequisite of autonomic operation, surgical ges…
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution
Ruoxi Wang, Dandan Zhang, Qingbiao Li +2
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and zooming ratio of the laparoscope, following the surgeon's…
A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises
Bo Lu, Wei Chen, Yue-Ming Jin +5
Surgical knot tying is one of the most fundamental and important procedures in surgery, and a high-quality knot can significantly benefit the postoperative recovery of the patient.…