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About

R. P. Viljoen is a robotics researcher whose work centers on advancing model predictive control (MPC) for robot manipulators, with a particular focus on flexible and deformable systems. Viljoen’s major contributions include developing a more intuitive and tunable MPC formulation that bridges the gap between instantaneous and predictive control, making advanced control strategies more accessible for practical robotic applications. Their research also tackles the challenging domain of deformable linear object manipulation, introducing methods to learn dynamics models from a single trajectory—a breakthrough for tasks requiring real-time adaptation. Viljoen has further advanced safe human-robot collaboration by combining imitation learning with nonlinear MPC for flexible robots, addressing the complex oscillatory dynamics that have historically limited their industrial adoption. With a growing citation record—including 5 citations for their 2024 MPC formulation and multiple papers with 3 citations each—Viljoen’s work is gaining recognition for its practical impact. Their notable achievement includes developing a contactless surface following approach that respects acceleration limits, enabling high-speed inspection and finishing tasks without physical contact. Viljoen’s research is shaping the next generation of intuitive, safe, and high-performance robotic control systems.