A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Learning various robotic manipulations tasks of the UR3

Training an UR3 robot using Reinforcement Learning and ROS.

My code from Introduction to Robotics with Prof.'s Katie Driggs-Campbell and Dan Block at UIUC (Python)

TFG de Ingeniería Robótica para teleoperar robots manipuladores a partir de la posición de la mano de una persona

Trajectory simulation of a reduce UR3 robot arm (RRR) in 3D space using the Denavit-Hartenberg parameters and motion laws for each segment.

UR3 robot control via RTDE communication with visualization in Three.js