Coalition structure generation with worst case guarantees
Artificial Intelligence
An introduction to description logics
The description logic handbook
The description logic handbook
Proceedings of the 35th conference on Winter simulation: driving innovation
A robot ontology for urban search and rescue
Proceedings of the 2005 ACM workshop on Research in knowledge representation for autonomous systems
Towards Service-Oriented Ontology-Based Coordination
ICWS '06 Proceedings of the IEEE International Conference on Web Services
An overview of knowledge‐based configuration
AI Communications
Heterogeneous multirobot coordination with spatial and temporal constraints
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Multirobot systems: a classification focused on coordination
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Coalition formation for task allocation: theory and algorithms
Autonomous Agents and Multi-Agent Systems
Considering inter-task resource constraints in task allocation
Autonomous Agents and Multi-Agent Systems
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Multi-robot coordination is an important field of study in the recent years, due to the need of systems designed for complex tasks. Recently, the capability to perform tasks achievable only by multiple collaborating robots has been investigated, and there are studies on scenarios where robots can accomplish tasks/missions only if they have some aid from other robots. Our work focuses on coalition formation, where a robot coalition is a set of robots that is able to accomplish tasks that none of its member could perform autonomously with same effectiveness. We use a knowledge-based approach: we define an ontology for modelling robot capabilities and, using description logics reasoning systems, we realize a procedure that yields a partition of a team of robots in coalitions that improves the overall team performances.