The code used in this tutorial is available!

Code can be found at industrial_training repository in doc folder. Use kinetic-devel branch.

Perception-Driven Manipulation Introduction

Goal

• The purpose of these exercises is to implement a ROS node that drives a robot through a series of moves and actions in order to complete a pick and place task. In addition, they will serve as an example of how to integrate a variety of software capabilities (perception, controller drivers, I/O, inverse kinematics, path planning, collision avoidance, etc) into a ROS-based industrial application.

Objectives

• Understand the components and structure of a real or simulated robot application.
• Learn how to command robot moves using Moveit!.
• Learn how to move the arm to a joint or Cartesian position.
• Leverage perception capabilities including AR tag recognition and PCL.
• Plan collision-free paths for a pick and place task.
• Control robot peripherals such as a gripper.

Open Source Feedback

See something that needs improvement? Please open a pull request on this GitHub page