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This tutorial aims to provide an understanding of specific functionalities of Kuka iDo robot used for studying human-robot interaction. By the end of this guide, you should feel confident in setting up the robot, programming basic motions, and integrating it into various applications.
Before diving into the tutorial, it's essential to have the following prerequisites:
- Basic understanding of robotics and using ROS.
- Familiarity with programming languages such as Python or C++ (optional but beneficial).
- Access to the Kuka iDo robot in the HMI lab.
- Access to laptop with Ubuntu 22.04 (I installed Ubuntu 22.04 on Windows laptop with dual-boot (see Cliff ten Berge his work for reference.).
Throughout this tutorial, we'll cover the following key topics:
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Introduction to Kuka iDo: Overview of-and-links to existing material related to the Kuka robot's specifications, components, capabilities.
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Getting Started: Setting up the HMI Kuka iDo hardware and software environment.
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Robot Programming: Understanding the programming interface and writing basic motion commands.
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Advanced Features: Exploring advanced functionalities such as sensor integration, path planning, and collaborative operation.
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Real-world Applications: Examples of how the Kuka iDo can be applied in different industries and research domains (e.g. deep learning module).
This guide is structured in a step-by-step format, making it easy to follow along. Each section will build upon the previous one, gradually increasing in complexity. Feel free to explore at your own pace and refer back to earlier sections as needed.
We value your feedback! If you have any suggestions, corrections, or additional insights to share, please don't hesitate to contribute. This tutorial is a collaborative effort, and your input will help improve the learning experience for everyone.