wangchangjin123 Goto Github PK

active-orb-slam2

ORB SLAM2 with Active Planning

awesome-robotic-tooling

Free tools for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace

casadi_mpc_mhe_python

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

cv

personal website

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

hackberry

houseexpo

HouseExpo: A Large-scale 2D Indoor Layout Dataset

lantern-vpn

PC蓝灯破解版在这里,重启程序重置500M流量,屏蔽自动更新,永久使用

magalpha-code-samples

Code samples for the MagAlpha magnetic angle sensor family

mydailyprogramming

日常编程

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

personalwebsite

my personal website

pigot_project

None

pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

pythonrobotics

Python sample codes for robotics algorithms.

rbdl

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

ros

机器人操作系统ROS 语音识别 语义理解 视觉控制 gazebo仿真 雷达建图导航

slam_and_path_planning_algorithms

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! :)

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

wangchangjin123.github.io