RobotikSchwärme

RobotikSchwärme, often translated as "robot swarms," refers to a system of multiple robots that cooperate to achieve a common goal. Unlike single, complex robots, robot swarms rely on the collective behavior of numerous simpler, often less capable, individual units. This decentralized control approach emphasizes emergent behavior, where complex group actions arise from simple interactions between individual robots and their environment.

The core principles behind robot swarms include self-organization, local interactions, and redundancy. Self-organization means that the swarm can adapt its behavior without a central controller, leading to robustness and flexibility. Local interactions ensure that each robot only needs to communicate or sense its immediate neighbors, simplifying individual robot design and reducing communication overhead. Redundancy, inherent in having many robots, means that the failure of a few individuals does not cripple the entire system.

Applications for robot swarms are diverse. They are explored for tasks such as environmental monitoring, search and rescue operations, precision agriculture, infrastructure inspection, and even exploration in hazardous or inaccessible environments like the deep sea or other planets. The scalability of swarm systems, where adding more robots can increase capability proportionally, makes them attractive for large-scale tasks. Research in this field focuses on developing algorithms for coordination, navigation, and task allocation that enable effective collective action.