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About

Vasco Costa is a pioneering researcher in swarm robotics, with a particular focus on real-world applications for aquatic environments. His work bridges the critical gap between simulated swarm intelligence and physical robotic systems, addressing the fundamental challenge of transferring evolved behaviors from simulation to reality. Costa's most impactful contribution is his 2016 study on evolving collective behaviors for a real swarm of aquatic surface robots (126 citations), which demonstrated that evolutionary robotics techniques could successfully produce robust, self-organized behaviors in physical robots—not just in simulation. He further advanced the field by proposing swarm robotics systems for marine environmental monitoring (67 citations), a novel application that moves beyond traditional single-robot or static sensor network approaches. Costa also developed hybrid control strategies for intruder detection tasks and designed inexpensive aquatic swarm platforms, making swarm robotics more accessible. His work on overcoming limited onboard sensing through local communication (2015) and his comprehensive summary of real-world evolutionary swarm experiments highlight his commitment to practical, deployable systems. By successfully demonstrating evolved control in a real aquatic swarm, Costa has helped unlock the potential of evolutionary swarm robotics for environmental monitoring and other real-world missions.