9 citations · 13 across the 5 of their papers we have counts for
5 papers
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen, Fuqin Deng, Yuan Gao +4
It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To…
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
Jingtao Tang, Yuan Gao, Tin Lun Lam
For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency by utilizing each robot's different capabilities, mobility, and functionality. In this…
VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation
Yuan Bi, Zhongliang Jiang, Yuan Gao +3
Ultrasound (US) is one of the most common medical imaging modalities since it is radiation-free, low-cost, and real-time. In freehand US examinations, sonographers often navigate a…
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
Yuan Gao, Elena Sibirtseva, Ginevra Castellano +1
In socially assistive robotics, an important research area is the development of adaptation techniques and their effect on human-robot interaction. We present a meta-learning based…
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning
Yuan Gao, Fangkai Yang, Martin Frisk +3
Deep reinforcement learning has recently been widely applied in robotics to study tasks such as locomotion and grasping, but its application to social human-robot interaction (HRI)…