S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Experimental packages for KUKA manipulators within ROS-Industrial (http://wiki.ros.org/kuka_experimental)
Object picking and stowing with a 6-DOF KUKA Robot using ROS
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
ROS 2 integration for KUKA LBR IIWA 7/14 and Med 7/14
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
Reinforcement Learning Experiments using PyBullet
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
🤖 A motion planning MATLAB & V-rep implementation for the KUKA LBR iiwa robotic arm, performing null-space reconfiguration for obstacle avoidance.
In this repository, the implementation of forward and inverse kinematics by redundancy resolution is presented for KUKA on linear axis 7-DOF robot. The Redundancy Resolution includes three methods, which are Jacobian-based (Damped Least Square and Weighted Pseudoinverse), Null Space, and Task Augmentation.
ROS-Industrial KUKA support (http://wiki.ros.org/kuka)
Control a kuka arm with ROS and gazebo and moveIt // Tutorial on Arm control - ROS
Application and programming examples for the KUKA LBR iiwa 7 R800
The SDK for the KUKA Robot Learning Lab at KIT
Scalable cross-platform multi-control framework for KUKA LBR iiwa cobots (Python - ROS - ROS2)
Arc Welding Simulation, Collision Detection, Path Planning, and New Cell from CAD files - 6 Axis Robots (ABB, KUKA, YASKAWA)
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