2 citations · 3 across the 4 of their papers we have counts for
4 papers
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen +2
Surgical robot task automation has been a promising research topic for improving surgical efficiency and quality. Learning-based methods have been recognized as an interesting para…
Efficient Physically-based Simulation of Soft Bodies in Embodied Environment for Surgical Robot
Zhenya Yang, Yonghao Long, Kai Chen +2
Surgical robot simulation platform plays a crucial role in enhancing training efficiency and advancing research on robot learning. Much effort have been made by scholars on develop…
Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Tao Huang, Kai Chen, Wang Wei +3
Reinforcement learning is still struggling with solving long-horizon surgical robot tasks which involve multiple steps over an extended duration of time due to the policy explorati…
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning
Yonghao Long, Wang Wei, Tao Huang +2
Surgical robot automation has attracted increasing research interest over the past decade, expecting its potential to benefit surgeons, nurses and patients. Recently, the learning…