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About

Emma Hart is a prominent researcher whose work spans evolutionary computing, artificial immune systems, and evolutionary robotics. Her early contributions to evolutionary computing, captured in the widely cited *Applications of Evolutionary Computing* (2003, 84 citations) and *Parallel Problem Solving from Nature* (2016, 50 citations), established her as a key figure in bio-inspired computation. Hart has also made significant contributions to artificial immune systems, exploring their applications in next-generation robot controllers as early as 2003. In recent years, her focus has shifted toward the frontier of autonomous robot evolution, where she investigates how robots can simultaneously evolve both their physical bodies and neural controllers in the real world. Through the Autonomous Robot Evolution (ARE) project, Hart and her collaborators have tackled critical challenges such as automated robot fabrication and the integration of learning with evolution—arguing compellingly that evolved robots must refine inherited controllers to adapt to their unique morphologies. Her deployment of advanced optimization techniques like CMA-ES and Bayesian Optimization further demonstrates her commitment to practical, efficient solutions. With over 300 cumulative citations, Hart's interdisciplinary research continues to shape the future of intelligent, self-adapting robotic systems.