PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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Updated
Aug 23, 2021 - Python
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
25 path-tracking algorithms are (goint to be) implemented with python.
Model Predictive Path Integral Control (MPPI) with PyTorch
[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
Adaptive importance sampling modification to MPPI
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
off-road navigation simulator for benchmarking planning algorithms
SIA - C++/Python library for model-based stochastic estimation and optimal control
Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.
BiC-MPPI: Goal-Pursuing, Sampling-Based Bidirectional Rollout Clustering Path Integral for Trajectory Optimization
Bayesian Optimization for MPPI Control of Robot Arm Planar Pushing
C++ Implementation of MPPI-IPDDP (Model Predictive Path Integral - Interior Point Differential Dynamic Programming) and Testing with MPPI variants and Multiple Environments
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