Santi Esteva

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About

Santi Esteva is a researcher whose work addresses critical challenges in robotic disaster response. His primary research area focuses on optimizing multi-robot systems for search and rescue missions, particularly in complex, hazardous environments like collapsed buildings. Esteva’s most notable contribution is a pioneering study on determining the optimal fleet size of robots for rescue operations. In this work, he developed a nonlinear polynomial model that uses spatial characteristics of a building to calculate the ideal number of robots needed for efficient exploration and map updating in disaster areas. This mathematical framework provides a systematic, scalable solution to a fundamental problem in emergency robotics: balancing coverage speed with resource constraints. While his most-cited paper has garnered 2 citations, its impact lies in laying foundational groundwork for future optimization in autonomous disaster response. Esteva’s research is essential for students and engineers seeking to design cost-effective, mission-ready robotic fleets that can save lives by rapidly mapping and searching dangerous, inaccessible zones.