4 citations · 9 across the 7 of their papers we have counts for
6 papers · 1 filter
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape
Chao Huang, Wenshuo Zang, Carlo Pinciroli +4
Compared with single robots, Multi-Robot Systems (MRS) can perform missions more efficiently due to the presence of multiple members with diverse capabilities. However, deploying a…
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
Yijiang Pang, Chao Huang, Rui Liu
Human multi-robot system (MRS) collaboration is demonstrating potentials in wide application scenarios due to the integration of human cognitive skills and a robot team's powerful…
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…
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…