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UNIVERSITE DE BOURGOGNE (University of Burgundy) | Le Creusot, Bourgogne | France | about 3 hours ago
logistics, inspection, rescue in disaster areas and precision agriculture. The originality of the MMR project lies in the synergistic integration of robust predictive control (Robust/Stochastic MPC
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-input multi-output (MIMO) closed-loop controllers (MPC, RL, hybrid RL-MPC), and real-time actuator management architectures embedded in MATLAB/Simulink digital-twin environments (COTSIM). This role offers
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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