Adaptive Behavior Control in Robot Teams: Investigating adaptive behavior control mechanisms for enabling robot teams to dynamically adjust their actions in response to environmental changes

Abstract

Adaptive behavior control is crucial for robot teams operating in dynamic and uncertain environments. This paper explores various mechanisms and approaches for enabling robot teams to dynamically adjust their actions in response to environmental changes. We review existing literature on adaptive behavior control in robot teams, highlighting key challenges and opportunities. We then propose a novel framework that integrates learning-based approaches with traditional rule-based methods to achieve adaptive behavior control. We demonstrate the effectiveness of our approach through simulations and real-world experiments. Our findings suggest that adaptive behavior control can significantly improve the performance and robustness of robot teams in complex environments.