model predictive control

Formulating and implementing receding-horizon optimal-control strategies (including stochastic and decentralized variants) to generate online feedback policies or trajectories that can be integrated with manipulation tasks, RL buffers, or closed-loop selection processes.

modelpredictivecontrol

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Hot Scholars

MH

Marco Hutter

Professor of Robotics, ETH Zurich
Legged RoboticsRoboticsControl
AD

Aaron D. Ames

​​Bren Professor, Mechanical and Civil Engineering, Control and Dynamical Systems, Caltech
Safe ControlRoboticsAutonomyNonlinear Control
DP

Dimitra Panagou

University of Michigan, Department of Robotics and Department of Aerospace Engineering
DF

David Fridovich-Keil

Assistant Professor, The University of Texas at Austin
optimal controldynamic gamesmotion planningrobotic safety
GS

Geng Sun

University of Wollongong