6 citations · 6 across the 5 of their papers we have counts for
6 papers
Robust Surgical Robotic Instrument Tracking via Sequential Multi-Cue Fusion and Sim-to-Real Self-Training
Hanyang Hu, Zekai Liang, Florian Richter +1
Efficient and robust tracking of surgical robotic instruments is important for robot-assisted minimally invasive surgery, yet remains challenging due to the complexity of surgical…
A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
Hanyang Hu, Cameron Siu, Mo Chen
Autonomous navigation requires planning to reach a goal safely and efficiently in complex and potentially dynamic environments. Graph search-based algorithms are widely adopted due…
Real-time Rendering-based Surgical Instrument Tracking via Evolutionary Optimization
Hanyang Hu, Zekai Liang, Florian Richter +1
Accurate and efficient tracking of surgical instruments is fundamental for Robot-Assisted Minimally Invasive Surgery. Although vision-based robot pose estimation has enabled marker…
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances
Hanyang Hu, Xilun Zhang, Xubo Lyu +1
Deep Reinforcement Learning (RL) has shown remarkable success in robotics with complex and heterogeneous dynamics. However, its vulnerability to unknown disturbances and adversaria…
Task-Oriented Koopman-Based Control with Contrastive Encoder
Xubo Lyu, Hanyang Hu, Seth Siriya +2
We present task-oriented Koopman-based control that utilizes end-to-end reinforcement learning and contrastive encoder to simultaneously learn the Koopman latent embedding, operato…
OptimizedDP: An Efficient, User-friendly Library For Optimal Control and Dynamic Programming
Minh Bui, Hanyang Hu, Chong He +4
This paper introduces OptimizedDP, a high-performance software library for several common grid-based dynamic programming (DP) algorithms used in control theory and robotics. Specif…