4 citations · 10 across the 7 of their papers we have counts for
7 papers
Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance
Jie Zhu, Mengsha Hu, Xueyao Liang +3
Robots assist humans in various activities, from daily living public service (e.g., airports and restaurants), and to collaborative manufacturing. However, it is risky to assume th…
Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments
Chao Huang, Wenhao Luo, Rui Liu
As multi-robot systems (MRS) are widely used in various tasks such as natural disaster response and social security, people enthusiastically expect an MRS to be ubiquitous that a g…
Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model
Ruijiao Luo, Chao Huang, Yuntao Peng +2
In human-robot collaboration (HRC), human trust in the robot is the human expectation that a robot executes tasks with desired performance. A higher-level trust increases the willi…
Robot Inner Attention Modeling for Task-Adaptive Teaming of Heterogeneous Multi Robots
Chao Huang, Rui Liu
Attracted by team scale and function diversity, a heterogeneous multi-robot system (HMRS), where multiple robots with different functions and numbers are coordinated to perform tas…
Trust Aware Emergency Response for A Resilient Human-Swarm Cooperative System
Yijiang Pang, Rui Liu
A human-swarm cooperative system, which mixes multiple robots and a human supervisor to form a heterogeneous team, is widely used for emergent scenarios such as criminal tracking i…
Trust Repairing for Human-Swarm Cooperation inDynamic Task Response
Yijiang Pang, Rui Liu
Emergency happens in human-UAV cooperation, such as criminal activity tracking and urgent needs for ground assistance. Emergency response usually has high requirements on the motio…
Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
Chao Huang, Rui Liu
Humans can selectively focus on different information based on different tasks requirements, other people's abilities and availability. Therefore, they can adapt quickly to a compl…