Real-time behaviour synthesis with MuJoCo, using Predictive Control
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Updated
Jul 9, 2024 - C++
Real-time behaviour synthesis with MuJoCo, using Predictive Control
A humanoid bipedal walking control repo using NMPC and WBC, and simulation with mujoco. Contact: xuejl2001@mail.ustc.edu.cn
mpc and wbc for mini cheetah in pybullet
EagleMPC is a model predictive control & optimal control library for unmanned aerial manipulators (UAMs)
Quadratic Programming and Model Predictive Control Based Trajectory Optimization for platoons of equipped Cooperative Adaptive Cruise Control (CACC) Vehicles
Nonlinear controls, linear controls, Lyapunov-based controls, MPC, geometric, etc.
🏎️ Model Predictive Control (MPC) Project using C++, Eigen, Ipopt and CppAD for the Self-Driving Car Nanodegree at Udacity
Model Predictive Control for Trajectory Tracking of Self Driving Car
EagleMPC-ROS contains several packages to run EagleMPC within a ROS environment
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.
C++ wrapper to dynamically run C code generated by ACADOS
Model Predictive Controller Project for the Self-driving Cars Nanodegree.
CarND Term 2 Model Predictive Control (MPC) Project
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.
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