Collective Autonomy
Intelligent Collaboration Among Autonomous Systems
Complex tasks increasingly require the collaboration of multiple autonomous agents. To achieve this, robots must observe their environment and other systems, exchange information, and coordinate their decisions.
At the Chair of Adaptive Autonomy and Off-Road Robotics, we conduct research on methods for interaction, cooperation, and coordination among heterogeneous autonomous robotic systems. Our focus is on how individual capabilities can be combined to form a powerful and adaptable overall system.
Research Focuses
Interaction and Observation
Autonomous agents must be able to perceive the behavior of other systems and take it into account in their own decisions.
We investigate methods for observing other robots, interpreting their actions, and taking shared environmental information into account.
Cooperation
Cooperative systems can exchange information, knowledge, and capabilities to accomplish shared tasks.
Our research focuses on cooperative perception, shared environmental knowledge, and the collaboration of heterogeneous robotic systems. We also take into account the quality and reliability of the information exchanged.
Coordination
The collaboration of multiple autonomous agents requires the coordination of their tasks, movements, and action strategies.
We are researching methods for decentralized coordination, dynamic task allocation, and the synchronization of individual behaviors.
Implicit Communication and Emergence
Collective behavior can arise not only through direct information exchange but also through local interactions and the observation of other agents.
We investigate how implicit communication, decentralized decision-making, and local interactions can contribute to the emergence of coordinated and emergent behavioral patterns.
Research Goal
Our goal is to develop collective autonomous robotic systems that can interact with one another, share information and capabilities, and coordinate their actions even without fully centralized control.