Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Plan-Based Multi-robot Cooperation
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Allocating tasks in extreme teams
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
International Journal of Robotics Research
A constraint optimization framework for fractured robot teams
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Cooperative use of unmanned sea surface and micro aerial vehicles at Hurricane Wilma
Journal of Field Robotics
Autonomous driving in urban environments: Boss and the Urban Challenge
Journal of Field Robotics - Special Issue on the 2007 DARPA Urban Challenge, Part I
Decentralised coordination of low-power embedded devices using the max-sum algorithm
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A Plan Manager for Multi-robot Systems
International Journal of Robotics Research
Heterogeneous multirobot coordination with spatial and temporal constraints
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
An anytime algorithm for optimal coalition structure generation
Journal of Artificial Intelligence Research
Dynamic control of plans with temporal uncertainty
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Evaluation criteria for human-automation performance metrics
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
The complexity of decentralized control of Markov decision processes
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
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As we advance the state of technology for robotic systems, there is a need for defining complex real-world challenge problems for the multi-agent/robot community to address. A well-defined challenge problem can motivate researchers to aggressively address and overcome core domain challenges that might otherwise take years to solve. As the focus of multi-agent research shifts from the mature domains of UGV and UAVs to USVs, there is a need for outlining well-defined and realistic challenge problems. In this position paper, we define one such problem, flood disaster mitigation. The ability to respond quickly and effectively to disasters is essential to saving lives and limiting the scope of damage. The nature of floods dictates the need for a fast-deployable fleet of low-cost and small autonomous boats that can provide situational awareness (SA), damage assessment and deliver supplies before more traditional emergency response assets can access affected areas. In addition to addressing an essential need, the outlined application provides an interesting challenge problem for advancing fundamental research in multi-agent systems (MAS) specific to the USV domain. In this paper, we define a technical statement of this MAS challenge problem based and outline MAS specific technical constraints based on the associated real-world issues. Core MAS sub-problems that must be solved for this application include coordination, control, human interaction, autonomy, task allocation, and communication. This problem provides a concrete and real-world MAS application that will bring together researchers with a diverse range of expertise to develop and implement the necessary algorithms and mechanisms.