wangchangjin123's repositories
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
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
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