chinakwy's starred repositories
Windows-universal-samples
API samples for the Universal Windows Platform.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
ur5_ROS-Gazebo
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
diy_driverless_car_ROS
ROS packages for DIY driverless car/autonomous vehicle development
gazebo_ros_demos
Example robots and code for interfacing Gazebo with ROS
RoboND-Kinematics-Project
Pick and Place project for RoboND Term 1
ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
ROS-Academy-for-Beginners-Book-Melodic
**大学MOOC---《机器人操作系统入门》讲义，升级版本
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
vim-galore-zh_cn
Vim 从入门到精通
franka_ros_interface
A ROS/Python API for controlling and managing the Franka Emika Panda robot (real and simulated).
panda_robot
A ROS python interface for using the franka robot (requires franka_ros_interface). Simplified control and management API.
panda_simulator
A Gazebo simulator for the Franka Emika Panda robot with ROS interface, supporting sim-to-real code transfer (Python). Exposes customisable controllers and state feedback from robot in simulation.
web-dictaphone
A sample MDN app that uses getUserMedia and MediaRecorder API for recording audio snippets, and The Web Audio API for visualizations.
webfunny_monitor
webfunny是一款轻量级的前端性能监控和埋点系统，私有化部署，简单易用。Webfunny is a lightweight front-end performance monitoring system and a burying point system, which is privatized and easy to use.
html2canvas
Screenshots with JavaScript
vis-graph3d
📊 Create interactive, animated 3d graphs. Surfaces, lines, dots and block styling out of the box.
learning-area
GitHub repo for the MDN Learning Area.
range_libc
A collection of optimized ray cast methods for 2D occupancy grids including the CDDT algorithm. Written in C++ and CUDA with Python wrappers.
Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
webots-thesis
A particles filter variant that uses Machine Learning to localize a mobile robot
Perform-Odometry-functions-on-E-Puck
Odometry is the use of data from motion sensors to estimate change in position over time. It is used in robotics by some legged or wheeled robots to estimate their position relative to a starting location. This method is sensitive to errors due to the integration of velocity measurements over time to give position estimates. Rapid and accurate data collection, instrument calibration, and processing are required in most cases for odometry to be used effectively.