1 citations · 1 across the 5 of their papers we have counts for
5 papers
Framework for Robust Motion Planning of Tethered Multi-Robot Systems in Marine Environments
Markus Buchholz, Ignacio Carlucho, Zebin Huang +4
This paper introduces CoralGuide, a novel framework designed for path planning and trajectory optimization for tethered multi-robot systems. We focus on marine robotics, which comm…
MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics
Shuguang Chu, Zebin Huang, Yutong Li +4
This work presents the MarineGym, a high-performance reinforcement learning (RL) platform specifically designed for underwater robotics. It aims to address the limitations of exist…
SpasticMyoElbow: Physical Human-Robot Interaction Simulation Framework for Modelling Elbow Spasticity
Hao Yu, Zebin Huang, Yutong Li +4
Robotic devices hold great potential for efficient and reliable assessment of neuromotor abnormalities in post-stroke patients. However, spasticity caused by stroke is still assess…
MarineGym: Accelerated Training for Underwater Vehicles with High-Fidelity RL Simulation
Shuguang Chu, Zebin Huang, Mingwei Lin +2
Reinforcement Learning (RL) is a promising solution, allowing Unmanned Underwater Vehicles (UUVs) to learn optimal behaviors through trial and error. However, existing simulators l…
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
Hao Yu, Zebin Huang, Qingbo Liu +2
This study presents a pioneering effort to replicate human neuromechanical experiments within a virtual environment utilising a digital human model. By employing MyoSuite, a state-…