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Six-Axis Arm Control Dashboard

ControlPannel

Project Images

TeachPannel

TeachPannel

Abstract

Controlling a six-axis arm efficiently requires seamless synchronization between real-time feedback and simulation. Our developed dashboard, crafted using Qt C and QML, empowers users to manipulate the movements of a six-axis arm effortlessly. With real-time feedback displayed on the dashboard, users can visualize and fine-tune the arm's actions, enhancing precision and control.

The dashboard facilitates individual axis control, allowing users to adjust speed and direction dynamically. Additionally, automation features enable users to train the robot for repetitive tasks, optimizing efficiency and productivity.

Requirements include Ubuntu 20, Qt 5.12, LAN driver enabled with IP 192.168.56.1 in Windows 10 or above, and Jetson 4GB kit with Jetpack 4 and Qt 5-default.

This abstract encapsulates the essence of our six-axis arm control dashboard, showcasing its capabilities in providing real-time feedback, individual axis manipulation, and automation functionalities.

Features

  • Real-time feedback of six-axis arm movement synced with simulation.
  • Individual axis control with adjustable speed and direction.
  • Automation capabilities for training the robot.
  • Developed using Qt C and QML for intuitive user experience.

Requirements

  • Ubuntu 20
  • Qt 5.12
  • LAN driver enabled with IP 192.168.56.1 in Windows 10 or above
  • Jetson 4GB kit with Jetpack 4 and Qt 5-default
  • Windows 10 or above, Ubuntu 20 or above, Jetson 4Gb with jetpack 4, pi-4 or 5 with Ubuntu 18.04

Usage

  1. Download the .apk(windows) or x64_86 file(linux)
  2. Enable the lan Driver with the above IP.
  3. Launch the dashboard application.

Contributing

Contributions to the Six-Axis Arm Control Dashboard project are welcome! with your enhancements or bug fixes.

License

This project is licensed under the MIT License.

Authors: Sriharish T Contact: [email protected]

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