Diversity and Intelligence in Multi-robot Teams
This work addresses the challenge of enhancing intelligence and performance in multi-robot teams for applications such as search and rescue or sports, but it appears incremental as it builds on existing behavior-based control methods.
The research tackled the problem of behavioral diversity in multi-robot systems by proposing new investigation tools and applying them to simulated and real robot tasks like foraging, soccer, and formation, resulting in a significant body of experimental results.
This research proposes new tools for investigation of behavioral diversity in multi-robot systems and a significant body of results using these tools in simulated and real mobile robot experiments. The experiments specifically describe a framework of defining behavior-based strategies for multi-robot tasks as robot foraging, robot soccer and robot formation. The research focuses specifically on motor schema-based multi-robot systems, which are an important example of behavior-based control.