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About

Tove Gustavi’s research lies at the intersection of multi-agent robotics, formation control, and sensor-limited navigation. Her most-cited work, "Formation Control for Mobile Robots with Limited Sensor Information" (2006, 19 citations), pioneered decentralized control algorithms that allow mobile robots to maintain formations using only local sensor data—eliminating the need for global positioning or inter-agent communication. This practical approach makes her methods highly applicable to real-world swarms operating in GPS-denied environments. In her 2004 paper on sensor-based navigation coordination (16 citations), Gustavi addressed a fundamental challenge in behavior-based robotics: robustly integrating pre-planned path following with reactive obstacle avoidance. Her subsequent work on formation adaptation (2005–2006) extended these ideas to handle noisy sensors and dynamic terrain, validated through experiments with Khepera robots. Across her publications, Gustavi’s key contribution is demonstrating that complex multi-robot coordination can be achieved with minimal sensing and computation—a principle that remains central to modern swarm robotics. Her algorithms for line formations with adaptive spacing and bearing angles have influenced subsequent work in agricultural robotics, search-and-rescue, and autonomous exploration.