Python sample codes for robotics algorithms.

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

Quadrotor control, path planning and trajectory optimization

C++ RRT (Rapidly-exploring Random Tree) Implementation

Quadcopter path planning using RRT* and minimum jerk trajectory generation

Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles

3D Trajectory Planner in Unknown Environments

Be Driven 🚘

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

N-Dimensional Fast Methods: Fast Marching, Fast Sweeping, Group Marching, Fast Iterative, etc.

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

The library extends the kolodny/immutability-helper to support update data by path string, like the get/set in lodash.

This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Real-time path planning for non-holonomic vehicles.

My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation

Modular framework for online informative path planning.

RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.

Path planning using RRT

RRT, RRT*, RRT*FN algorithms for MATLAB

Motion Planner for Self Driving Cars

派送助手——2016年全国研究生移动终端应用设计创新大赛一等奖作品。本APP集合快件管理，路线规划，一键导航和智能呼叫功能，能够帮助快递员\外卖员提高派送效率。首先将快件的地址和电话信息添加到"派送助手"，点击"开始派送"。后台算法将会计算最优路线，确定快件的派送次序，快递员\外卖员依照提示依次派送。快递员\外卖员遇到不熟悉路线时，点击"导航"可以获取当前位置到目的地的导航路线。当快递员将要到达目的地时，手机会智能识别并提前拨叫用户。节省快递员等待客户取件的时间。

ROS packages for the RoboJackets RoboRacing team.

Common used path planning algorithms with animations.

Processing an Image to find obstacles and the minimum path between two similar objects using OpenCV.

Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)

This repository contains path planning algorithms in C++ for a grid based search.

Path plan algorithm, include: A*, APF(Artificial Potential Field)

ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.