StanfordASL / AA203-ExamplesLinks
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
☆52Updated 5 months ago
Alternatives and similar repositories for AA203-Examples
Users that are interested in AA203-Examples are comparing it to the libraries listed below
Sorting:
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆26Updated 4 months ago
- Robot Controls Course Project☆62Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆68Updated 2 years ago
- ☆56Updated 3 years ago
- ☆87Updated 2 years ago
- A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.☆17Updated 5 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆66Updated 4 years ago
- Codes for designing Neural Contraction Metrics (NCMs)☆34Updated 5 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 4 years ago
- constraint differential dynamical programming☆28Updated 3 years ago
- ☆24Updated 4 years ago
- Model-based Control using Koopman Operators☆52Updated 5 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆165Updated 4 months ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 2 years ago
- A PyTorch implementation of MPC as a Function Approximator☆18Updated 4 years ago
- Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928☆64Updated 2 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆185Updated last year
- This repo collets few LMPC examples coded in Python☆84Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆72Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax …☆99Updated 7 months ago
- Use PyTorch Models with CasADi and Acados☆232Updated last year
- ☆52Updated 3 months ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆137Updated 4 years ago
- Get started with Reachability-based Trajectory Design for static obstacles☆61Updated 3 years ago
- ☆28Updated 3 years ago
- A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation☆50Updated 4 years ago
- Toolbox for Robotics Control☆70Updated 2 weeks ago
- ☆73Updated this week