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Explore the fascinating intersection of biology and robotics with CELLS AND ROBOTS: MODELING AND CONTROL OF LARGE-SIZE AGENT POPULATIONS, Volume 32 in Springer Tracts in Advanced Robotics. This groundbreaking work, drawing from biology, robotics, and hybrid systems theory, models reactive behavior in cell populations as independent agents. Discover how this approach applies to artificial agents like robots, with a detailed case study on large-size robotic populations. Learn about optimal control strategies, including maximizing robotic presence probability and applying the Minimum Principle for partial differential equations. Ideal for researchers and students in multi-agent systems, robotics, and computational biology, this book offers mutual benefits for both fields and enhances understanding of complex system dynamics. Originally a runner-up for the Georges Giralt Award for best European PhD thesis in Robotics.
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