Support for ROS Development
Developed based on the ROS framework, offering a complete open-source code solution with RVIZ visualization modeling support. The system enables users to build simulation environments autonomously, flexibly configure operational paths, and fully implement core functional modules, including SLAM mapping, autonomous navigation, dynamic obstacle avoidance, and global path planning.
Automated Smart Logistics Sandbox System
Adopting a modular design, this system allows for rapidly constructing a sorting and transportation training platform in just 10 minutes. Developed explicitly for university laboratories, it is optimized for small spaces and integrates core functional modules such as SLAM mapping, autonomous navigation and obstacle avoidance, AI vision-based sorting, and infrared automatic recharging.
Standardized Educational Course Support
The kit integrates ROS development, sensor technology, and real-world industry scenarios to build a comprehensive, practical knowledge system that offers a college-level intelligent logistics training course.
The supporting resources include:
- Lecture Slides
- Lecture Notes
- Practical Guides
- Instructional Videos
They support open-source debugging and visual teaching. Through 10 experimental cases combining simulation and reality (covering SLAM mapping, path planning, etc.), cultivate the capabilities of system design and engineering implementation.
One-Click Start, and the Visual Teaching Scene Can Be Deployed Instantly
The kit includes an intelligent logistics task management system software, featuring an intuitive visual UI design and supporting one-click start functionality for seamless operation. It integrates a visual camera perspective to monitor the real-time logistics process. The visual function area includes OCR text detection, ARUCO code detection, and QR code detection to ensure efficient information recognition and processing. The motion control function area supports PS2 joystick and keyboard control, providing flexible operation methods.
Product Package
| Name |
myAGV Compound Robot Intelligent Logistics Kit |
| Hardware Equipment |
| myAGV Jetson Nano Mobile Chassis x 1 |
| mechArm 270 M5Stack Robot Arm x 1 |
| myCobot Camera Flange x 1 |
| myCobot Vertical Suction Pump x 1 |
| Spare Battery for myAGV x 1 |
| Astra Pro 2 3D Camera for myAGV x 1 |
| PS2 Bluetooth Controller x 1 |
| Charging Kit x 1 |
| Sand Table Materials x 1 |
|
| Course Resources |
| â‘ Lecture Slides |
| â‘¡Lecture Notes |
| â‘¢Practical Guides |
| â‘£Instructional Videos |
|
Product Parameters
| myAGV Jetson Nano |
| Motor: Planetary Brushless DC Motor |
| Wheels: Mecanum Wheels |
| myCobot Camera Flange x 1 |
| Payload: 5 KG |
| Weight: 4.16 KG |
| LiDAR Scanning Range: 0.12-8M |
| LiDAR Angle: 360° |
| Built-in Camera: 8 Megapixels |
| Shooting Angle: 77° |
| Focal Length: 2.96 mm |
| Standby Time: 328 minutes |
| Battery Life: 181 minutes |
| Max Speed: 0.9 m/s |
| Power Supply: 12.6V, 2A |
| Operating Temperature: -5°C to 45°C |
|
| mechArm 270 M5Stack |
| Degrees of Freedom: 6 |
| Repeatability: ±0.5 mm |
| Payload: 250g |
| Weight: 1 kg |
| Working Radius: 270 mm |
| Charging Voltage: 8~12V 5A |
| Motor Type: High Precision Magnetic Encoder Motor × 6 |
| Max Speed: 120°/s |
| Control: M5Stack Basic |
| Communication: USB / Type-C |
|
| myCobot 2D Camera Flange for mechArm |
| Supported Systems: Win7/8/10, Linux, MAC |
| Material: ABS Injection Molding |
| Environmental Requirements: Normal temperature and pressure |
| Dimensions: 83 × 33 × 16 mm |
| Lifespan: 2 years |
| Weight: 60g |
| Mounting Method: LEGO Connector |
| USB Protocol: USB 2.0 HS/FS |
| Lens Focal Length: Standard 1.7mm |
| Field of View: Approximately 60° |
|
| Astra Pro 2 3D Camera for myAGV |
| Model: A20113-000 |
| Working Distance: 0.6m – 6m |
| Dimensions: 164.85 × 36.00 × 40 mm |
| Weight: 145g ±5 |
| Power Consumption: Average power < 2.0W, peak power < 2.5W |
| Baseline: 55mm |
| Interface: USB Type A Male |
| Power Supply: USB 2.0 |
| Recommended Power Supply: 5V 0.5A |
| Operating Temperature: 10°C – 40°C |
| Measurement Accuracy: 3mm @ 1m |
| Resolution @ Frame Rate: “Depth Image: 1280×1024 @ 7fps, 1280×960 @ 7fps, 640×480 @ 10/15/30fps, 320×240 @ 10/15/30fps, 160×120 @ 10/15/30fps” “Color Image: 1280×960 @ 7fps, 640×480 @ 10/15/30fps, 320×240 @ 10/15/30fps” |
| Depth FOV: H58.4° V45.5° D70° ±5° |
| Depth Format: Y16/Y12/Y11 |
| Color FOV: H62.7° V49.0° D75.1° ±5.0° |
| Image Format: UYVY |
| Operating System: Windows/Linux |
| Suitable for: Indoor environments |
| Safety: Class 1 Laser |
| Camera Principle: Monocular Structured Light |
| Certification: RoHS 2.0/REACH/Class 1 |
|
| myCobot Vertical Suction Pump for mechArm |
| Lifespan: 1 year |
| Material: ABS Injection Molding |
| Mounting Method: LEGO Connector |
| Dimensions: “Suction Pump Box: 72 × 52 × 37 mm”, “Suction Pump End: 63 × 24.5 × 26.7 mm” |
| Control Interface: IO Control |
| Environmental Requirements: Normal temperature and pressure |
| Number of Suction Cups: 1 |
| Suction Cup Size: Diameter 20mm |
| Suction Weight: Rated 180g |
| Power Supply Device: Suction Pump Box |
|
| Spare Battery for myAGV |
| Capacity: 6400mAh |
| Voltage: 11.1V |
|
| myAGV Compound Robot Intelligent Logistics Kit Map |
| Dimensions: 350 × 225 cm |
| Material: Printed Cloth |
| Waterproof: Yes |
|
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