Ricardo de Castro

University of California, Merced, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

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About

Ricardo de Castro is a leading researcher in autonomous vehicle motion control and fault-tolerant systems, with a focus on over-actuated robotic platforms. His work bridges control theory and practical autonomy, particularly in path following and energy-aware navigation. In his highly cited 2021 paper (10 citations), de Castro introduced a Lyapunov-based fault tolerant control allocation framework for over-actuated road vehicles, enabling safe motion control under actuator constraints and failures—a critical contribution to vehicle safety systems. His 2019 work (7 citations) advanced learning-based path following control for over-actuated robotic vehicles, integrating model-based and data-driven approaches to improve trajectory tracking in autonomous driving. Most recently, in 2025, de Castro pioneered a context-aware deep learning framework for power prediction in agricultural mobile robots, using real-world data from 72 field trials to enable energy-efficient mission planning. With a cumulative impact of over 18 citations across these key papers, de Castro’s research is shaping the future of resilient, intelligent, and energy-optimized autonomous systems—from road vehicles to agricultural robotics.