Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

• UpdatedFeb 6, 2025
• Jupyter Notebook

Nullspace MPC: A novel multi-objective control framework for explicitly handling task priorities, implemented in ROS Noetic for a Swerve Drive Robot.

• UpdatedOct 8, 2025
• C++

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

• UpdatedSep 5, 2025
• C++

Robot Controls Course Project

• UpdatedNov 1, 2021
• MATLAB

Visualization tool for the Feynman Path Integral applied to quantum circuits

• UpdatedFeb 26, 2023
• Python

Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

• UpdatedJun 12, 2025
• Jupyter Notebook

Stochastic Optimal Control in Robotics Project

• UpdatedMay 14, 2019
• MATLAB

A simple and extensible Octave/Matlab library for Model Predictive Path Integral control scheme.

• UpdatedDec 16, 2019
• MATLAB

Repository for Deterministic Particle Flow Control framework

• UpdatedNov 13, 2022
• Python

Path integral quantum Monte Carlo

• UpdatedFeb 8, 2020
• Jupyter Notebook

Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.

• UpdatedJul 23, 2020
• Jupyter Notebook

Pigs might just fly.

• UpdatedFeb 17, 2024
• Julia

This is a Path Integral Ground State Monte Carlo code written in Fortran. It is intended to the description of 4He in three dimensions but it can be easily extended to any other homogeneous or trapped system in any dimensions

• UpdatedJul 12, 2023
• Fortran

numerical simulation with path integral

• UpdatedJul 20, 2024
• Jupyter Notebook

Spring

• UpdatedMar 24, 2018
• Fortran

Interactive visualisations for the variational polaron problem with Makie.

• UpdatedJan 4, 2021
• Julia

Using Nonadiabatic Matsubara (Path-Integral formalism) to predict the charge transfer quantum dynamics.

• UpdatedJul 15, 2021
• Fortran

This repository contains Python implementation Path integral Quantum Monte-Carlo to find the ground state energy of the harmonic oscillator.

• UpdatedDec 17, 2023
• Python

Variational Feynman Path Generator

• UpdatedJan 29, 2024
• Python

RPMD code for the paper "Quantum Rates in Dissipative Systems with Spatially Varying Friction", Oli Bridge et al., J. Chem. Phys., 2024. (https://doi.org/10.1063/5.0216823)

• UpdatedDec 8, 2024
• Python