Roger Datouo

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About

Roger Datouo is a leading researcher in robotics and control systems, with a primary focus on adaptive control, energy-efficient motion planning, and intelligent automation. His major contributions lie in developing advanced control strategies for robotic manipulators and mobile robots. Notably, his 2020 work on "Adaptive Fuzzy Finite-Time Command-Filtered Backstepping Control of Flexible-Joint Robots" (22 citations) addresses critical challenges in finite-time tracking control, solving the "explosion of terms" problem while ensuring robust stabilization. In 2017, Datouo pioneered an innovative approach to "Optimal motion planning for minimizing energy consumption of wheeled mobile robots" (21 citations), integrating novel cost and heuristic functions into the A* algorithm to optimize trajectories under real-world constraints like ground conditions and obstacle avoidance. His work bridges theoretical control theory with practical robotics applications, offering tangible solutions for energy conservation and precision in autonomous systems. With a growing citation impact, Datouo's research is highly relevant for students and engineers working on adaptive control, fuzzy systems, and sustainable robotics, positioning him as a rising voice in intelligent robotic design.