Learn AI Robotics Integration with New Launched AI Kit

Overview

The myAGV Compound Robot Intelligent Logistics Kit is an integrated, modular, and interactive platform designed to simulate and test smart logistics workflows in real time. Whether you're a student, researcher, or prototyping enthusiast, this system offers the perfect playground to explore the future of intelligent logistics.

This kit features:

1. Intelligent Logistics Task Management System.

2. Integrated Software with Intuitive Visual UI, Enabling Real-time Monitoring.

3. Automated Execution Driven by Smart Vision:

● OCR Text Detection for reading shipping labels and documents.

● ArUco Detection for precise positioning and navigation.

● QR Code Recognition for fast item identification and tracking.

4. Flexible Motion Control Options.

Allow PS2 Controllers for a hands-on approach.Or switch to keyboard control for precision input.

System Composition

1. myAGV Compound Robot

The myAGV Compound Robot is a compact, fully integrated mobile robotics platform designed for research and education in smart logistics, autonomous navigation, and AI-driven manipulation. It combines autonomous mobility with precision manipulation, making it an ideal solution for simulating warehouse automation and pick-and-place operations.

● myAGV Jetson Nano 2023

● Onboard Compute: NVIDIA Jetson Nano

● 3D Depth Camera

● LiDAR Sensor

● mechArm 270 M5

● myCobot Suction Pump 2.0

2. Logistics Simulation Accessories

● myAGV Compound Robot Intelligent Logistics Kit Layout

● Storage baskets

3. Open Source Code & Tutorials

In the public repository, each section has its own functional code files that users can individually access through commands. Additionally, comprehensive tutorial services are provided, allowing users to choose between videos or documentations for learning and operation. The public courses include: 3D SLAM Technology, Multi-Sensor Fusion Technology, and SLAM Algorithm Principles & Practice etc.

Getting Started

The kit includes an intelligent logistics task management system software, featuring an intuitive visual UI design and supporting one-click start functionality for operation. It integrates a visual camera perspective to monitor the logistics process in real time.

1. Start with UI

First, you need to install remote software on your or connect to it via SSH. Then, open the UI, and after confirming that the hardware is successfully connected, click 'Quick Start' to activate all functions.

● Navigation and Obstacle Avoidance:

The mobile robot scans the environment and, using path planning algorithms, moves toward the first detected logistics shelf.

● Location Code Recognition and OCR Text Analysis:

Through visual recognition of the goods, the robot identifies and grabs items, then navigates to the corresponding logistics station based on the recognition results.

● Mobile Robot Movement and Robotic Arm Pick & Place:

After scanning the logistics station code and confirming the destination, the mobile robot navigates to the target location. It then calls the robotic arm to perform pick-and-place actions, placing the package at the designated logistics station. The system repeats this cycle continuously.

2. Additional Features

Our code is fully open-source. If you would like to modify or add personal features, you can activate the ROS environment using the source code to make your changes.

source devel/setup.bash
roslaunch myagv_odometry myagv_active.launch

If the robot fails to move properly and needs to be manually controlled for up, down, left, and right movements, you can also directly use the remote control function.

roslaunch myagv_teleop myagv_teleop.launch

Summary

This newly launched myAGV Compound Robot Intelligent Logistics Kit, bringing real-world scenarios into the classroom through advanced simulation. By integrating AI technology, students gain hands-on experience in optimizing supply chains, warehouse management, and transportation systems. This Intelligent Logistics Kit is very suitable as a teaching tool for education or algorithm verification in laboratories.