A modular and scalable simulation framework for ultra-rapid prototyping of self-adaptive, stochastic and robust Nonlinear Model Predictive Control for Autonomous Vehicle Motion Control
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Updated
Jan 8, 2025 - Python
A modular and scalable simulation framework for ultra-rapid prototyping of self-adaptive, stochastic and robust Nonlinear Model Predictive Control for Autonomous Vehicle Motion Control
MPC pathtracking implementation with python, solved by PANOC/IPOPT
NMPC controller for trajectory tracking and obstacle avoidance
Research code behind custom SAC, NMPC, VAEs and other stuff for machine-learning based autonomous ship trajectory planning. Developed as part of the Autoship Centre for Research-based Innovation (SFI). Open sourced in November 2025.
My NMPC controller package for PX4-based Quadrotor deployment. To be used with other PX4 Quadrotor packages I've developed (see Readme file).
Optimal control solver implemented in Python. SymPy for symbolic differentiation and Numba for fast computation.
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