Elephant MyCobot Robotics Arm MyAGV Jetson Nano Robot Car Kit
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Elephant MyCobot Robotics Arm MyAGV Jetson Nano Robot Car Kit
The MyAGV Jetson Nano Robot Car Kit is an all-in-one autonomous mobile robot (AMR) solution built for AI education, robotics research, and business scenario simulation. Featuring the Jetson Nano as its AI computing core and the versatile MyCobot robotic arm, this powerful combo enables autonomous navigation, object recognition, and manipulation—perfect for developers, researchers, and tech educators.
Key Features
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Jetson Nano AI platform with Ubuntu-based system
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Supports ROS, Python, OpenCV, VNC, SSH
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Built-in tools: VSCode, myBlockly, and more
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Supports 2D/3D SLAM mapping and autonomous navigation
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Compatible with various Elephant Robotics arms and accessories
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Plug-and-play with cloud firmware updates
Education & Research
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High-performance planetary brushless DC motors
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Accurate autonomous navigation for real-world simulation
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Ideal for classroom robotics, STEM labs, and AI courses
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Supports graphical programming for beginners and advanced Python tools
Developers & Innovators
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Modular design for maximum flexibility
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Supports graphical programming (myBlockly) and full Python stack
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Real-time object recognition via 3D camera support
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Open-source compatible and developer-friendly environment
Business & Prototyping
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Simulate warehouse logistics, sorting, and handling tasks
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Integrate with:
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myCobot 280Pi robotic arm
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Vertical Suction Pump V2.0
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Camera Flange 2.0
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Test and demo composite robotic applications easily
System & Software
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Pre-installed Ubuntu-based OS
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Built-in:
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ROS (Robot Operating System)
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Python 2/3
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myStudio software for updates and package management
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Cloud updates for firmware and development environments
What's in the Kit (Varies by Bundle)
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MyAGV 2023 robot chassis (Jetson Nano version)
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MyCobot 280Pi robotic arm
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Optional add-ons:
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Intel RealSense D435 or Astra Pro 2 Camera
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7-inch touchscreen
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6400mAh equipment battery
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Suction pump and camera flange
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Compatible With
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myPalletizer 260
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mechArm 270
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myArm
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ultraArm
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myCobot 280 series
Programming Options
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myBlockly: Drag-and-drop coding for beginners
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Python: For advanced development (supports OpenCV, QT, and more)
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Ideal for learning AI, computer vision, control systems, and more
Effective Date: March 27, 2025
At OpenELAB, we are committed to providing accurate product descriptions and delivering high-quality products. If you experience any issues with your purchase, please notify us within 60 days of the shipment date.
1. Warranty Disclaimer
Unless explicitly stated in a specific agreement or purchase order, OpenELAB makes no warranties—express or implied—regarding the fitness, suitability, or merchantability of any product for a particular purpose or special use.
2. Warranty Policy
Warranty Period
The standard warranty period for products sold by OpenELAB is 12 months from the date of delivery.
Under this warranty, OpenELAB will make a reasonable effort to repair or replace products free of charge if defects are due to issues with raw materials, design, or manufacturing.
If the defect qualifies under this policy but falls outside the covered scope, reasonable charges may apply for repair or replacement.
After the warranty period, support may still be available at a reasonable fee.
Warranty Exclusions
The warranty does not apply in the following cases:
- The product is beyond the 12-month warranty period.
- Damage due to misuse, improper maintenance or storage, or failure to follow the user guide or manual.
- Issues caused by Force Majeure events (e.g., natural disasters, war, legal changes, etc.).
- Unauthorized repair attempts by the customer.
- The product is not defective but has been opened and is non-returnable by policy.
3. Returns & Refunds
If you're not satisfied with your purchase, you may be eligible for a return or exchange:
- Return for Refund: Within 15 days of receipt (unopened).
- Return for Replacement: Within 30 days of receipt (damaged or defective).
- Exchange Window: Up to 30 days from receipt.
Please email us at info@openelab.io for a return authorization before sending anything back.
Return Conditions
- Items must be in original, clean, and mint condition with packaging intact.
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