3 citations · 4 across the 21 of their papers we have counts for
4 papers · 2 filters
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…
Digital Twins Below the Surface: Enhancing Underwater Teleoperation
Favour O. Adetunji, Niamh Ellis, Maria Koskinopoulou +2
Subsea exploration, inspection, and intervention operations heavily rely on remotely operated vehicles (ROVs). However, the inherent complexity of the underwater environment presen…
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-…