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Sold!: auction methods for multirobot coordination

Gerkey, B.P., Mataric, M.J.·2002·IEEE Transactions on Robotics and Automation

Abstract

The key to utilizing the potential of multirobot systems is cooperation. How can we achieve cooperation in systems composed of failure-prone autonomous robots operating in noisy, dynamic environments? We present a method of dynamic task allocation for groups of such robots. We implemented and tested an auction-based task allocation system which we call MURDOCH, built upon a principled, resource centric, publish/subscribe communication model. A variant of the Contract Net Protocol, MURDOCH produces a distributed approximation to a global optimum of resource usage. We validated MURDOCH in two very different domains: a tightly coupled multirobot physical manipulation task and a loosely coupled multirobot experiment in long-term autonomy. The primary contribution of the paper is to show empirically that distributed negotiation mechanisms such as MURDOCH are viable and effective for coordinating physical multirobot systems.

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  • A robust layered control system for a mobile robot

    Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 1×

    “A similar but more minimalist approach to robot task allocation is taken by BLE [21], a modern distributed derivative of the Subsumption Architecture [22] that has been demonstrated on a weighted version of the CMOMMT target-tracking task.”
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Metadata

Authors
Gerkey, B. P., & Mataric, M. J.
Venue
IEEE Transactions on Robotics and Automation
Published
2002-10
Volume
18
Issue
5
Pages
758-768
ISSN
1042-296X (ISSN-L)
OpenAlex
W2113257089
Cited by
1,012
References
1
FWCI
33.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sold!: auction methods for multirobot coordination. https://app.cochat.ai/papers/10.1109/tra.2002.803462
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Gerkey, B. P., & Mataric, M. J. (2002). Sold!: auction methods for multirobot coordination. IEEE Transactions on Robotics and Automation. https://doi.org/10.1109/tra.2002.803462

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