Incorporating Mental Simulation for a More Effective Robotic Teammate

How can we facilitate human-robot teamwork? The teamwork literature has identified the need to know the capabilities of teammates. How can we integrate the knowledge of another agent's capabilities for a justifiably intelligent teammate? This paper describes extensions to the cognitive architecture, ACT-R, and the use of artificial intelligence (AI) and cognitive science approaches to produce a more cognitively-plausible, autonomous robotic system that "mentally" simulates the decision-making of its teammate. The extensions to ACT-R added capabilities to interact with the real world through the robot's sensors and effectors and simulate the decision-making of its teammate. The AI applications provided visual sensor capabilities by methods clearly different than those used by humans. The integration of these approaches into intelligent team-based behavior is demonstrated on a mobile robot. Our "TeamBot" matches the descriptive work and theories on human te...

• Type: Conference
• Year: 2008
• Where: AAAI
• Authors: William G. Kennedy, Magdalena D. Bugajska, William Adams, Alan C. Schultz, J. Gregory Trafton
• Keywords: AAAI 2008, ACT-R Added Capabilities, Human-robot Teamwork, Intelligent Agents, Intelligent Teammate