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Starred repositories
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimi…
ICMRE-2021 coference paper codes
NMPC is implemented using Casadi in Matlab to control the steering, throttle, and braking of a vehicle in CarSim
Nonlinear Model Predictive Control tuning using Genetic Algorithms, employed on a trajectory controller for differential drive robot
Path planning using nonlinear model predictive control in dynamic environments
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
High-speed Autonomous Drifting with Deep Reinforcement Learning
Python Implementation of Reinforcement Learning: An Introduction
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
ArduPlane, ArduCopter, ArduRover, ArduSub source
This package contains a dynamic obstacle avoidance algorithm for concave and convex obstacles as developped in [1].
TUM Roborace Team Software Stack - Example Vehicle
Udacity CarND-Path-Planning project
Self-Driving Car Engineer Program: Path Planning Project
SFND_Lidar_Obstacle_Detection
This repo collets few LMPC examples coded in Python
Implementation of the Learning Model Predictive Controller for autonomous racing
Optimization-Based Collision Avoidance - a path planner for autonomous navigation
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
Open-source simulator for autonomous driving research.
An application to test controllers on mobile robots.
dataset and code for 2016 paper "Learning a Driving Simulator"