A C++ implementation of Cartesian impedance control for torque-controlled manipulators with ROS bindings.

Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.

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.

ROS 1/2 integration for KUKA LBR IIWA 7/14 and Med 7/14

🤖 A motion planning MATLAB & V-rep implementation for the KUKA LBR iiwa robotic arm, performing null-space reconfiguration for obstacle avoidance.

A training simulation for the 'Kuka LBR iiwa' robotic arm using a deep Q-network.

In this repository, pick and place application is implemented on KUKA iiwa robot with a camera mounted on the end-effector. YOLOv4 is used for object detection and HSI color space is used for color segmentation.

Application and programming examples for the KUKA LBR iiwa 7 R800

Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning

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

University group project concerning the comparison between the classical and the modified Denavit-Hartenberg convention in Newton-Euler algorithm, and the design of persistently exciting trajectories for the dynamic coefficients identification for the KUKA LWR IV+.

Development of adaptive control algorithms for the automatic adjustment of the level of assistance to be provided to the patient in rehabilitation on the basis of the interpretation of movement intentions and the progress made in the recovery of motor functions. The platform of interest is Kuka MED Robot.

Control of a redundant KUKA iiwa arm (7DOF) based on Neurorobotics Platform and ROS interface.

ENPM662 Project: Mark and segregate (pick and place) an object based on its size

Kuka LBR iiwa Python to Java interface

Saturation in the Null Space method at acceleration and velocity level, using preemptive prioritization strategy.