tangzeyue Goto Github PK

3d-astar-thetastar

Basic algorithms for height map based 3D path planning: BFS, Dijkstra, A*, Theta*

a-loam

Advanced implementation of LOAM

adaptive-cruise-control-based-on-h-dqn-and-inverse-rl

基于分层强化学习和逆向强化学习的自适应巡航算法

apollo

An open autonomous driving platform

att_ekf

Extented Kalman Filter for attitude estimation using ROS

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

bezier-curve

Python class for creating and optimizing quadratic and cubic Bezier curves and path smoothing implementation.

carla_ilqr_mpc

Implementation of the real-time MPC based on iLQR in Carla simulator

chrono

High-performance C++ library for multiphysics and multibody dynamics simulations

cict

cmake-examples-chinese

快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/

conference_cv_robotics

Recording the gains and some resources (slides, notes, pictures, etc) of the conferences and talks I attended.

cslibs_mapping

This library contains a plugin-based mapping framework which allows to build 2D gridmaps, 2D and 3D NDT maps and OctoMaps.

curvesgenerator

Common used curves for motion planning.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dynamicparam_tzy

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

enhancements

Enhancements tracking repo for Kubernetes

epsilon

far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

frenet

Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

global_racetrajectory_optimization

This repository contains multiple approaches for generating global racetrajectories.

heightmap

Builds and serves a heightmap from PointCloud and OctoMap messages, incrementally

hybrid-artificial-potential-field-a-star-planning

This method takes best of both world. On one hand,it tries to reduce the overall path cost by using A-star and on other hand it reduces the time complexity by adapting real time reactive power from Artificial-Potential method of motion Planning.

icra2021-paper-list

http://www.icra2021.org/

iros2020-paper-list

IROS2020 paperlist by paopaorobot

jerk_optimal_velocity_planning