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Blue mobile robot with screen, lidar sensor, and omni wheels
Blue mobile robot with screen, lidar sensor, and omni wheels
Blue mobile robot with screen, lidar sensor, and omni wheels
Blue mobile robot with screen, lidar sensor, and omni wheels

Autonomous Robot

Experience next-generation robotics with an intelligent autonomous robot designed for learning, research, and development applications.

This system helps students and researchers understand robot navigation,sensors, automation, and artificial intelligence concepts.

Ideal for engineering colleges, universities, robotics labs, and AI & IoT training programs.

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  • Overview
  • Technical Specification
  • Features
  • Application

Overview

The Autonomous Robot is an advanced educational robotics platform designed to provide practical learning experience in robotics, automation, and artificial intelligence technologies.

It enables students and researchers to explore robot programming, autonomous navigation, sensor integration, and intelligent decision-making systems.

The system is suitable for engineering institutes, research laboratories, and skill development centers looking to build modern robotics capabilities.

Key Highlights:

âś“ Autonomous navigation and intelligent movement
âś“ Sensor-based environment detection
âś“ Practical learning of robotics and AI concepts
âś“ Suitable for engineering and research applications
âś“ Supports hands-on programming and experimentation

Parameter Description
Application Robotics & AI Training
Technology Autonomous Navigation
Control System Intelligent Embedded Controller
Sensors Integrated Sensor Support
Programming Robot Programming Environment
Communication Wireless Communication Support
Learning Platform Robotics, AI & Automation

Features

  • AI application practice equipment based on indoor service robot platform
  • NVIDIA high-performance on-device AI platform is adopted for Brain board
  • Touch display and high-resolution wide-angle camera for GUI-based user interface and deep learning are provided
  • Gigabit Ethernet, dual-band Wi-Fi, and Bluetooth are provided
  • Voice recognition and audio playback through digital microphone and speaker are possible
  • Various IoT sensor modules through 4 dedicated expansion interfaces are supported
  • The driving part adopts a 3-axis omni wheel to maximize the robot’s movement efficiency and minimize the turning radius
  • For precise control of the driving part, controller equipped with a high-performance MCU controls omni wheel motor, encoder and sensor
  • Connected via highly reliable CAN FD communication for collaboration between brain board and controller
  • Built-in power path management circuit to make it possible to continue practicing even while the battery is charging
  • Service robot development is supported through ROS2, robot standard middleware
  • High-level Pop libraries enabling to focus on application implementation is provided
  • CUDA-based PyTorch and Tensorflow artificial intelligence framework are supported
  • Web browser-based Google block coding platform (Blockly) is supported
  • Pre-set integrated development environment based on Visual Studio Code for professional application development is supported
  • Deep learning-based service robot learning contents are provided
  • On-device AI self-driving car training equipment

Applications

âś“ Engineering Robotics Labs
âś“ Artificial Intelligence Training
âś“ Automation Research
âś“ IoT & Embedded System Learning
âś“ University Skill Development Programs
âś“ Robotics Competitions & Projects
âś“ Research and Prototype Development

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FAQ

An autonomous robot is an intelligent machine that can perform tasks and navigate its environment without constant human control. It uses sensors, AI algorithms, and onboard computing to make decisions independently.
Autonomous robots are used in education, research, AI training, industrial automation, smart manufacturing, service robotics, warehouse management, and autonomous navigation projects.
Yes. The platform is designed for AI and deep learning applications and supports popular AI frameworks, enabling students and researchers to build and test intelligent robotic solutions.
Yes. Autonomous robots use sensors, cameras, and navigation algorithms to detect obstacles, map their surroundings, and move independently in indoor environments.
The platform supports Python, C/C++, and other development tools, making it suitable for beginners as well as advanced robotics developers.

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