10 citations · 22 across the 15 of their papers we have counts for
6 papers · 1 filter
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
Yuhan Zhao, Lan Shi, Quanyan Zhu
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapti…
Stackelberg Meta-Learning Based Shared Control for Assistive Driving
Yuhan Zhao, Quanyan Zhu
Shared control allows the human driver to collaborate with an assistive driving system while retaining the ability to make decisions and take control if necessary. However, human-v…
Incentive-Compatible and Distributed Allocation for Robotic Service Provision Through Contract Theory
Yuhan Zhao, Quanyan Zhu
Robot allocation plays an essential role in facilitating robotic service provision across various domains. Yet the increasing number of users and the uncertainties regarding the us…
Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator
Yuhan Zhao, Quanyan Zhu
Guided trajectory planning involves a leader robot strategically directing a follower robot to collaboratively reach a designated destination. However, this task becomes notably ch…
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning
Yuhan Zhao, Quanyan Zhu
Trajectory guidance requires a leader robotic agent to assist a follower robotic agent to cooperatively reach the target destination. However, planning cooperation becomes difficul…
Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration
Yuhan Zhao, Baichuan Huang, Jingjin Yu +1
In this study, we explore the application of game theory, in particular Stackelberg games, to address the issue of effective coordination strategy generation for heterogeneous robo…