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Found 5 papers, 1 papers with code
Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC
This paper presents an implementation of robust model predictive control (MPC) for collision-free reference trajectory tracking for mobile robots.
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation
This work presents a novel loss function for learning nonlinear Model Predictive Control policies via Imitation Learning.
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC
We specify costs and collision avoidance constraints in the more advantageous coordinate frame, derive appropriate formulations and compare different obstacle constraints.
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Model-based control requires an accurate model of the system dynamics for precisely and safely controlling the robot in complex and dynamic environments.
acados: a modular open-source framework for fast embedded optimal control
The acados software package is a collection of solvers for fast embedded optimization, intended for fast embedded applications.
Optimization and Control
