Stars
The implementations of Introduction to Algorithms.
《算法导论》第三版中算法的C++实现
CoppeliaSim control of various robots through remote API (Python) connection. UR5 industry-setting simulations.
Implement the inverse kinematics of a UR5 employing the Poduct of Exponentials approach and control the UR5 in coppeliaSim using Python.
Real time upper body pose estimation using MS kinect
Provides the source code for the deep learning components mentioned in "Depth-based hand pose estimation: methods, data, and challenges"
3D Hand Tracking using input from a depth sensor.
The code and data for the SEKE 2021 paper
openCV based stereo calibration of the Kinect cameras without manually marking points
Automated, hardware-independent Hand-Eye Calibration
Tools for using the Kinect One (Kinect v2) in ROS
This program provides an example of controlling the robot UR5 through 30003 port network communication.
A model and controller of UR5 (Universal Robots UR5) in Unity3D, supporting Augmented Reality (AR) and Virtual Reality (VR) applications.
PyRoboLearn: a Python framework for Robot Learning
Kernelized Movement Primitives (KMP)
Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy
Implementation of Dynamic Movement Primitives (DMPs) in Python 3.5 together with various methods to treat obstacle avoidance
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)