Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
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Updated
Jun 5, 2025 - Python
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
ROS2 package that implements a nonlinear model predictive control (NMPC) pipeline for trajectory tracking for aerial vehicles that use the PX4 Autopilot
A distributed whole-body model predictive control for quadruped robots
Vehicle dynamics with a sophisticated friction model and drive-train model that can be used to augment any multi-body simulation (such as Gazebo) involving vehicles.
Standalone Implementation of Predictive Admittance Control for Aerial Physical Interaction Control in Python with Acados and MuJoCo.
Model Predictive Controller for a quadcopter model using Acados nlp optimization
C++ wrapper to dynamically run C code generated by ACADOS
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.
This docker has Acados, Casadi, neural mpc and ROS Noetic for NVIDIA Jetson. It has been tested on a Jetson Nano and Jetson Orin NX
Code of the IV2025 paper "Dynamic Objective MPC for Motion Planning of Seamless Docking Maneuvers" Author: Oliver Schumann
Decentralized Tube-Based Model Predictive Controller. Master Thesis project 2024
Objected Oriented style wrapper around AcadosOcp and AcadosSim in C++
Open-source compiler from JAX-trained robotics to Arm-based silicon, with signed attestation manifests.
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