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
Towards flexible teamwork in behavior-based robots: extended abstract
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
An integrated development environment and architecture for soar-based agents
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
CRIEP: a platform for distributed robotics research
Proceedings of the 49th Annual Southeast Regional Conference
Autonomous Agents and Multi-Agent Systems
Curing robot autism: a challenge
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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A key challenge in deploying teams of robots in real-world applications is to automate the control of teamwork, such that the designer can focus on the taskwork. Existing teamwork architectures seeking to address this challenge are monolithic, in that they commit to interaction protocols at the architectural level, and do not allow the designer to mix and match protocols for a given task. We present BITE, a behavior-based teamwork architecture that automates collaboration in physical robots, in a distributed fashion. BITE separates task behaviors that control a robot's interaction with its task, from interaction behaviors that control a robot's interaction with its teammates. This distinction provides for flexibility and modularity in terms of the interactions used by teammates to collaborate effectively. It also allows BITE to synthesize and significantly extend existing teamwork architectures. BITE also incorporates key lessons learned in applying multi-agent teamwork architectures in physical robot teams. We present empirical results from experiments with teams of Sony AIBO robots executing BITE, and discuss the lessons learned.