Thiago de Castro Martins

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About

Thiago de Castro Martins is a Brazilian robotics researcher whose work spans autonomous navigation, adaptive control, and human-robot interaction. His most recognized contribution lies in robot path planning, where his application of simulated annealing optimization to trajectory generation earned significant attention in the robotics community, accumulating 34 citations and establishing him as an early contributor to metaheuristic approaches in motion planning. Martins has also made notable strides in challenging navigation environments, proposing a GPU-accelerated Monte Carlo Localization system for Remotely Operated Vehicles (ROVs) operating in visually degraded, magnetically anomalous conditions such as hydroelectric power plant tunnels — a highly specialized and safety-critical domain. More recently, his research expanded into human-robot cooperation through the design of a Model Reference Adaptive Impedance Controller (MRAC) for modular exoskeletons, addressing the complex challenge of estimating real-time parameters of a coupled human-robot system. Across his career, Martins demonstrates a consistent interest in bridging theoretical control and optimization methods with practical robotic applications, ranging from underwater systems to wearable assistive technologies — making his work relevant to students and engineers working at the intersection of autonomy, control, and rehabilitation robotics.