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About

Danilo Caporale is a versatile robotics researcher whose work spans humanoid robot control, motion planning, autonomous vehicles, and industrial automation. His most celebrated contributions include pioneering whole-body control strategies for unstable wheeled humanoid robots that leverage full nonlinear dynamics rather than simplified models, earning 51 citations, and the development of the Alter-Ego robot platform, a functionally anthropomorphic system designed for physical human-robot interaction (41 citations). His involvement in the WALK-MAN project demonstrated real-world humanoid capabilities in post-disaster scenarios, underscoring the practical relevance of his research. Caporale has also made significant strides in trajectory optimization, developing time-optimal path tracking methods for jerk-controlled and flexible-joint robots that improve actuator longevity without sacrificing performance. In the autonomous vehicles domain, his contributions include LiDAR-based GNSS-denied localization and planning and control systems tailored for self-driving racing cars, reflecting a rare breadth across both legged and wheeled platforms. His work on efficient biped walking gaits using principal component analysis further demonstrates his talent for bridging computational efficiency with advanced robot dynamics. With over 315 total citations across a decade of research, Caporale has established himself as a significant and multidisciplinary voice in modern robotics.