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About

Gianluca Pepe is a robotics researcher whose work centers on locomotion optimization, multi-robot systems, and advanced control strategies for complex robotic platforms. His most recognized contribution lies in the development of genetic algorithm-based methods for identifying optimal gait trajectories in quadrupedal robots, a technically demanding problem given the intricate interplay between ground contact forces, torques, and body dynamics. His 2021 paper on quadrupedal gait identification through contact force optimization has garnered 9 citations, establishing him as a thoughtful contributor to the field of legged robot locomotion. Pepe has extended this expertise through successive investigations into trotting gait optimization and broader quadruped locomotion strategies, reflecting a sustained commitment to making legged robots more efficient and adaptable in real-world environments. Beyond legged systems, his research portfolio demonstrates notable versatility — encompassing swarm robotics, with work on coordinating robot populations through complex scenarios, and spherical rolling robots, where he explores flywheel-driven angular momentum conservation to improve stability on slippery terrain. Though his citation profile is still growing, Pepe's research addresses genuinely difficult open problems in autonomous robotics, making his work a valuable reference for students and engineers working at the intersection of optimization, dynamics, and robotic control.