Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
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Updated
Jan 13, 2024 - Python
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Deep RL for MPC control of Quadruped Robot Locomotion
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
MPyC: Multiparty Computation in Python
Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.
Implementation of the real-time MPC based on iLQR in Carla simulator
iterative Linear Quadratic Regulator with constraints.
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.
Private set intersection implemented in Python
A SMPC companion library for Syft
Query compiler for secure multi-party computation.
State-of-the-art method for model-based dexterous manipulation
Model Predictive Control of a Flappy Bird Clone using Mixed Integer Programming
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