An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
MONAD: a flexible architecture for multi-agent control
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Flexible teamwork in behavior-based robots
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
On the design of coordination diagnosis algorithms for teams of situated agents
Artificial Intelligence
Towards collaborative task and team maintenance
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Executing multi-robot cases through a single coordinator
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A study of mechanisms for improving robotic group performance
Artificial Intelligence
Detecting disagreements in large-scale multi-agent teams
Autonomous Agents and Multi-Agent Systems
Coordination and multi-tasking using EMT
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
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Research into teamwork in autonomous robots is quickly gaining significant interest, motivated by future applications of multi-robot teams. A key challenge is to automate the control of teamwork, such that the designer can focus on the taskwork to be done. Teamwork architectures have been proposed to automate the interactions between team-members, in order to facilitate robust and speedy deployment. Existing architectures provide important teamwork services to deployed teams, such as synchronized task execution [4], and task allocation [3, 1, 5]. These allow the designer to spend most efforts on building controllers for the specific tasks to be carried out, rather than the collaboration of the robots.