Yahboom Jetcobot

Yahboom Jetcobot MyCobot280 7DOF Collaborative Robotic Arm Instruction Manual

Model: Jetcobot with Jetson Orin Nano Super 8GB

1. Úvod

The Yahboom Jetcobot is a 7-axis collaborative robotic arm designed for educational and research purposes, integrating seamlessly with the Jetson Nano/Orin Nano Super/Orin NX Super ecosystem. It offers advanced capabilities for robot algorithm development, ROS simulation, and AI vision applications. This manual provides essential information for setting up, operating, and maintaining your Jetcobot.

Yahboom Jetcobot Robotic Arm Overview

Obrázek 1.1: Konecview of the Yahboom Jetcobot Robotic Arm, highlighting its collaborative design and integration with Jetson Orin Nano.

AI Performance Upgrade Comparison

Image 1.2: Comparison chart illustrating the AI performance improvements with the SUPER upgrade for Jetson Orin Nano and NX developer kits.

2. Nastavení

2.1 Vybalení a identifikace součástí

Carefully unbox your Jetcobot. Verify all components are present according to the packing list. The main components include the robotic arm, development board kit, adaptive gripper, USB HD camera, and power supply.

Video 2.1: Jetcobot product unboxing video. This video demonstrates the unboxing process and identifies the various components included in the package.

2.2 Product Structure and Assembly

The Jetcobot features a modular design. Refer to the diagram below for component identification and assembly guidance. Ensure all connections are secure before powering on the device.

  • Robotické rameno: The 7-axis MyCobot280 arm provides flexible movement.
  • Adaptive Gripper: Attach the gripper to the end effector for object manipulation.
  • USB HD Camera: Mount the camera for AI vision capabilities.
  • ROS Main Control Board (Optional): Integrates with Jetson Nano, Orin Nano SUPER, or Orin NX SUPER.
  • Chassis Box & Base: Provides stability and houses the control board.
  • Přísavky: Secure the robotic arm base to a flat surface.
Jetcobot Product Structure Diagram

Image 2.1: Detailed diagram of the Jetcobot's product structure, showing the robotic arm, gripper, camera, control board, and chassis box.

2.3 Připojení napájení

Connect the provided power adapter to the Jetcobot and a suitable power outlet. Ensure you use the correct power adapter to prevent damage to the unit.

3. Návod k obsluze

3.1 Basic Movement and Control

The Jetcobot is a 7-axis collaborative robot, offering high flexibility. It can be controlled via a USB game controller or through a multi-function Android app. The adaptive gripper allows for precise object handling.

Video 3.1: Jetcobot robot arm video. This video demonstrates the robotic arm's movements and control capabilities.

Jetcobot picking up a block

Image 3.1: The Jetcobot robotic arm demonstrating precise object manipulation by picking up a colored block.

3.2 AI Vision and Remote Control

Equipped with a USB HD camera, the Jetcobot supports AI vision for tasks such as object recognition, tracking, and grasping. Remote control is possible via a USB game controller for optimal experience, or through a multi-function Android app (note: the app may not control the gripper).

  • Uznání: Identify wooden blocks and stickers.
  • Sledování: Follow objects or human postures.
  • Grasping: Perform precise pick-and-place actions.
Jetcobot with USB control handle and APP control

Image 3.2: Jetcobot being controlled via a USB handle and demonstrating APP control capabilities.

Jetcobot performing color recognition and tracking

Image 3.3: The Jetcobot demonstrating AI visual recognition, including color recognition and tracking of objects on a patterned mat.

4. Programming & ROS System

4.1 ROS Ecosystem Integration

The Jetcobot leverages the open-source Jetson Nano ecosystem and comes with a built-in ROS (Robot Operating System) environment. This provides a robust platform for robot algorithm development and simulation learning.

Jetcobot with ROS and OpenCV programming

Image 4.1: Jetcobot showcasing its compatibility with ROS and OpenCV for advanced programming and visual processing.

4.2 Software and Development

Explore RoboFlow, the industrial robot software, and utilize Python driver libraries for easier and faster development. The system supports multiple programming languages and various software interaction methods. Jupyter Lab pages can be created online for development.

  • RoboFlow: Industrial robot software for advanced control.
  • Knihovny Pythonu: Simplify development with Python.
  • ROS Simulation: Built-in environment for testing and learning.
  • Inverse Kinematics: Built-in algorithm for precise positioning.
Jetcobot connected to a laptop for programming

Image 4.2: The Jetcobot connected to a laptop, illustrating its use in a programming and development environment.

5. Údržba

To ensure the longevity and optimal performance of your Jetcobot, follow these general maintenance guidelines:

  • Čištění: Regularly wipe down the robotic arm and chassis with a soft, dry cloth. Avoid using harsh chemicals or abrasive materials.
  • Společná inspekce: Periodically check the robotic arm's joints for any signs of wear or looseness.
  • Správa kabelů: Ensure all cables are neatly routed and not pinched or strained.
  • Aktualizace softwaru: Keep the operating system and any installed software up to date to benefit from the latest features and security patches.
  • Podmínky prostředí: Operate the Jetcobot in a clean, dry environment within recommended temperature ranges.

6. Řešení problémů

If you encounter issues with your Jetcobot, consider the following common troubleshooting steps:

  • Problémy s napájením: Ensure the power adapter is correctly connected and the power outlet is functional. Verify that the correct power adapter is used.
  • Problémy s připojením: Check USB and network connections. For wireless control, ensure the device is properly paired.
  • Unexpected Movement/Inaccuracy: Recalibrate the robotic arm if movements are erratic. Ensure the base is stable and on a flat surface.
  • Softwarové chyby: Restart the software application or the entire system. Consult the online tutorials and documentation for specific error codes.
  • Gripper Malfunction: Check for any obstructions in the gripper mechanism. Ensure the gripper is properly attached and receiving commands.

Pro podrobnější informace o řešení problémů nebo přetrvávajících problémech se prosím podívejte do sekce podpory.

7. Specifikace

Key technical specifications for the Yahboom Jetcobot with Jetson Orin Nano Super 8GB:

FunkceDetail
Název značkyYahboom
Název modeluJetcobot
Číslo modeluJetcobot
Kontrolní radaJetson Orin Nano Super 8GB
Degrees of Freedom (DOF)7
Typ materiáluPlast
Rozměry položky (D x Š x V)10 x 8 x 15 palce
Zdroj napájeníBattery (2 AA and 2 AAA batteries required, included)
Doporučená použitíEducational research and development, robot arm control, AI vision applications
Operační systémUbuntu 22.04 (ROS2 Humble)
Repeat Positioning Accuracy±0.5 mm
USB HD Camera0.3MP, 110° FOV, 480P resolution, 30fps
Jetcobot Robotic Arm Dimensions

Image 7.1: Technical drawing illustrating the dimensions of the Jetcobot robotic arm.

Jetcobot Gripper Specifications

Image 7.2: Detailed specifications for the Jetcobot's adaptive gripper and USB HD camera.

8. Záruka a podpora

8.1 Informace o záruce

The Yahboom Jetcobot comes with a 90-day warranty against manufacturer defects. This warranty covers defects in materials and workmanship under normal use.

8.2 Technická podpora

For technical assistance, tutorials, or any questions regarding your Jetcobot, please contact Yahboom support. We provide high-quality technical support services.

Yahboom Customer Support Contact Information

Image 8.1: Yahboom customer support contact details for assistance.

Ask a question about this manual

Ask about setup, troubleshooting, compatibility, parts, safety, or missing instructions. Manuals+ will review the question and use this page’s manual context to help answer it.