kuka

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

Files used in the development of a digital twin for a robot cell at NTNU with the use of Visual Components 4.0 and OPC UA

Scalable cross-platform multi-control framework for KUKA LBR iiwa cobots (Python - ROS - ROS2)

Kuka Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

Inkscape extension for outputting KUKA Robot Language ( KRL ). Tested on KR C4 and KR6 R900 sixx.

A simple plotting system for a KUKA industrial robot arm.

FURobot的示例（一部分是来自B站的配套示例）

Using principles of forward and inverse kinematics to perform pick and place operations using a serial manipulator in simulation

KUKA LBR iiwa 7 R800 MuJoCo (MJCF) model and motion-control demos: unified end-effector controller with damped-least-squares IK, gravity / inverse-dynamics feedforward, and task-space PD. Tuned to mujoco_menagerie conventions.

ROS2 support for KUKA youBot [WIP]

TCP Ethernet messaging capability for Kuka KRC4

Simple PyQt app to generate documentation for KUKA robots

Control KUKA Manipulator to follow a predefined trajectory using Jacobain approach and Inverse Kinematic approach

6-DoF DH inverse kinematics parameters calculation for a KUKA KR-120 robotic arm. Parameters simulation was visualized using RViz and arm motion was visualized in Gazebo

Forward & inverse kinematics for 6-axis industrial robots in pure Python — Product-of-Exponentials FK, analytic-seeded numeric IK, all branches, KUKA joint-frame handling. numpy+scipy only.

Train Soft Actor-Critic model for KukaDiverseObject environment in pybullet

Euler-Lagrange dynamics for robot manipulators

simple fool test OPCUA on KUKA KRC4 with OPCUA option.