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- W4288889615 abstract "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 robots with one-way communication. To that end, focusing on the task of multi-object rearrangement, we develop a theoretical and algorithmic framework that provides strategic guidance for a pair of robot arms, a leader and a follower where the leader has a model of the follower's decision-making process, through the computation of a feedback Stackelberg equilibrium. With built-in tolerance of model uncertainty, the strategic guidance generated by our planning algorithm not only improves the overall efficiency in solving the rearrangement tasks, but is also robust to common pitfalls in collaboration, e.g., chattering." @default.
- W4288889615 created "2022-07-31" @default.
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- W4288889615 date "2022-02-03" @default.
- W4288889615 modified "2023-10-16" @default.
- W4288889615 title "Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration" @default.
- W4288889615 doi "https://doi.org/10.48550/arxiv.2202.01877" @default.
- W4288889615 hasPublicationYear "2022" @default.
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