Professional supplier of AI and robot teaching equipment
The Vision-Based Mobile Manipulator extends the capabilities of a mobile robot by integrating a 5-DOF robotic arm for vision-guided manipulation and intelligent material handling. Combining autonomous navigation, machine vision, LiDAR, and robotic manipulation, it supports practical training in mobile manipulation, object picking, logistics automation, and robot-vision coordination, making it ideal for advanced AI and intelligent manufacturing education.








(1)Introduction to ROS2
(2)Linux System and Command-Line Basics
(3)Creating and Building ROS2 Packages
(4)ROS2 Launch Files
(5)ROS2 Topic Communication
(6)ROS2 Service Communication
(7)ROS2 Parameter Server
(8)LiDAR Fundamentals in ROS2
(9)Introduction to ROS2 Navigation
(10)LiDAR-Based SLAM Mapping
(11)ROS2 Navigation Stack
(1)Introduction to Mobile Robots
(2)ROS2 Environment Configuration
(3)Basic Mobile Robot Operation
(4)LiDAR-Based Target Following
(5)LiDAR SLAM Mapping
(6)LiDAR SLAM Navigation
(7)IMU-Based Slope Assistance
(8)Vision-Based Object Following
(9)Traffic Sign Recognition
(10)Autonomous Mobile Robot Navigation
(11)Gesture-Based Robot Control
(12)Voice-Controlled Robot Operation
(13)Ultrasonic Obstacle Avoidance
(1)Introduction to Intelligent Sensor Systems
(2)Arduino Development Environment Setup
(3)OLED Display Programming
(4)Temperature & Humidity Sensing
(5)Barometric Pressure Sensing
(6)Sound Detection
(7)Ambient Light Detection
(8)Human Presence Detection
(9)Ultrasonic Distance Measurement
(1)Introduction to the Robotic Arm and Basic Operation
(2)Robotic Arm Teaching and Motion Control
(3)Robot-Vision Calibration
(4)Vision-Guided Object Classification
(5)Vision-Guided Waste Sorting
(6)Vision-Based Robotic Material Handling
Contact us if you need a custom course.
The Mobile Robot Application Development Platform focuses on autonomous navigation, ROS2 development, AI vision, and multi-sensor perception. The Vision-Based Mobile Manipulator adds a 5-DOF robotic arm, enabling vision-guided object picking, mobile manipulation, and logistics applications.
The platform supports courses in ROS2, Linux, Python programming, mobile robot control, LiDAR SLAM, computer vision, AI applications, sensor technology, and autonomous navigation.
Yes. The platform includes open-source examples, SDKs, and technical documentation, allowing users to develop custom algorithms and integrate additional hardware.
The robot integrates LiDAR, an AI vision camera, IMU, ultrasonic, human detection, temperature, humidity, pressure, sound, and ambient light sensors for comprehensive environmental perception.
Yes. The platform supports expansion with accessories such as robotic arms, depth cameras, PLCs, AI computing modules, and other sensors through its open hardware and software interfaces.
Typical applications include SLAM mapping, autonomous navigation, obstacle avoidance, lane detection, traffic sign recognition, pedestrian detection, vision-guided manipulation, and intelligent logistics.
The system is delivered as a complete solution with hardware, software, teaching materials, sample projects, source code, and technical documentation. Users only need to provide a standard power supply to begin teaching or development.
Our engineers can help you choose the right platform, customize laboratory solutions, and provide technical support for your education and research projects.
✔ Product Selection
✔ Laboratory Planning
✔ Curriculum Support
✔ Global Technical Service