Mikhail Katliar

Max Planck Institute for Biological Cybernetics

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About

Mikhail Katliar is a leading researcher in the field of advanced robotic motion simulation, with a core focus on real-time nonlinear model predictive control (MPC) for complex robotic systems. His major contributions lie in the development and implementation of high-performance controllers that enable motion simulators to accurately reproduce complex acceleration and angular velocity profiles. In his highly cited 2017 work (27 citations), Katliar pioneered the use of MPC for a cable-robot-based motion simulator, solving the challenging problem of tracking desired accelerations and angular velocities while respecting system constraints. He further advanced the field in his 2018 paper (19 citations) by extending this real-time MPC framework to an 8-degree-of-freedom serial robot, demonstrating the ability to simultaneously track six reference signals. This work is notable for bridging the gap between theoretical optimal control and practical, real-time implementation in demanding simulation environments. Katliar’s research is instrumental in enhancing the fidelity and responsiveness of motion simulators used in training, entertainment, and vehicle dynamics testing, establishing him as a key innovator in the intersection of robotics, control theory, and human-in-the-loop simulation.