Selective Method Based on Auctions for Map Inspection by Robotic Teams

Martín-Ortiz, Manuel; Pereda, Juan; Lope, Javier de; Paz, Féliz de la

doi:10.1007/978-3-642-21344-1_19

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…In this paper, inspired by the selfish behavior of herd members that achieve the most benefit for the group, we present a Selective Inspection method of Maps Based in Auctions (SIMBA), that follows the line started by a previous work [20]. We show the robustness and fault-tolerant capacity of this method, demonstrating their competence to be used in environments where the communication is not a guaranteed characteristic.…”

Section: Introductionmentioning

confidence: 93%

Inspection method based on multi-agent auction for graph-like maps

Martín-Ortiz¹,

Pereda²,

Lope

et al. 2011

2011 Third World Congress on Nature and Biologically Inspired Computing

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Nature teaches us how the collaboration between the members of a herd is an important aspect to ensure their survival as a group. Collaboration requires communication, but it may happen that it could not be established for some reason. In this context, members of the herd have to make decisions on its own, trying to do the best for the group. Inspired by this principle, we have designed a method to overcome the communication difficulties of the environment. The team members compete using their own made decisions, this competition affects on the best possible way to the team benefit.

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Section: Introductionmentioning

confidence: 93%

Inspection method based on multi-agent auction for graph-like maps

Martín-Ortiz¹,

Pereda²,

Lope

et al. 2011

2011 Third World Congress on Nature and Biologically Inspired Computing

Self Cite

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“…Several related works have been reported in this direction, e.g. loosely coupled tasks like exploration [3], [4] and surveillance [5], and tightly coupled tasks like box pushing [6] and robot soccer [7].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical auction-based mechanism for real-time resource retrieval in cloud mobile robotic system

Wang

Liu

Meng

2014

2014 IEEE International Conference on Robotics and Automation (ICRA)

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In order to share information in the cloud for multi-robot systems, efficient data transmission is essential for real-time operations such as coordinated robotic missions. As a limited resource, bandwidth is ubiquitously required by applications among physical multi-robot systems. In this paper, we proposed a hierarchical auction-based mechanism, namely LQM (Link Quality Matrix)-auction. It consists of multiple procedures, such as hierarchical auction, proxy scheduling. Note that the proposed method is designed for real-time resource retrieval for physical multi-robot systems, instead of simulated virtual agents.We validate the proposed mechanism through real-time experiments. The results show that LQM-auction is suitable for scheduling a group of robots, leading to optimized performance for resource retrieval.

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