Statistics for topic model-predictive-control
RepositoryStats tracks 636,615 Github repositories, of these 72 are tagged with the model-predictive-control topic. The most common primary language for repositories using this topic is Python (35). Other languages include: C++ (20)
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Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning with Model Predictive Control
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning with Model Predictive Control
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, ...
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Reinforcement Learning with Model Predictive Control
A V2G Simulation Environment for large scale EV charging optimization
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, ...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning with Model Predictive Control
A V2G Simulation Environment for large scale EV charging optimization
An open source model predictive control package for Julia.
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Contro...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, ...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning with Model Predictive Control
A V2G Simulation Environment for large scale EV charging optimization
DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Contro...
