Wheeltec V550 Mecanum Orin NX 16GB M10P Touchscreen ROS Sandtable Kit
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- Other Countries Delivery Time: 15 working days.
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Wheeltec V550 Mecanum Orin NX 16GB M10P Touchscreen ROS Sandtable Kit
The Mini Autonomous Vehicle Sandbox Robot is an advanced ROS Deep Learning Autonomous Driving Training Platform, engineered for comprehensive education and research in robotics and AI. Featuring a unique hybrid Mecanum and Ackermann drive system, it offers unparalleled versatility for simulating various automotive steering models and advanced motion control. Powered by an NVIDIA Jetson Nano controller (with optional Raspberry Pi 5 or Jetson Xavier NX / Orin NX upgrades), this platform is pre-installed with Ubuntu 18.04/20.04 and ROS Melodic/Noetic, providing a robust environment for developing and testing autonomous systems.
Equipped with a 2D LiDAR for SLAM and path planning, a depth camera for visual detection and lane tracking, and an IMU, the robot delivers rich sensor data for real-world AI applications. It supports the ROS Navigation Stack, GMapping, Cartographer, and AMCL for real-time SLAM and autonomous navigation. AI functions include deep learning object recognition, lane detection, traffic-sign recognition, and neural network-based path planning, all integrated with TensorFlow, PyTorch, and OpenCV AI modules.
Designed for scalability and ease of use, this compact sandbox robot is ideal for university AI curricula, deep-learning based autonomous driving simulations, SLAM and vision algorithm development, and ROS path planning research. Its aluminum alloy frame ensures durability, while comprehensive connectivity options (USB, I2C, UART, Ethernet, Wi-Fi, Bluetooth, optional 4G) and a 7-inch touch screen enhance its functionality and user experience. Programmed with Python/C++ for ROS and supporting AI training frameworks like TensorFlow Lite and PyTorch Jetson SDK, it is a perfect tool for both beginners and advanced researchers.
Key Features
- Hybrid Mecanum + Ackermann Drive Mechanism: Accurately simulates different automotive steering models for learning vehicle control and trajectory tracking.
- AI Vision and Deep Learning Integration: Jetson Nano enables on-board training for object and lane recognition using real-time image streams.
- ROS SLAM and Navigation Pre-Installed: Provides ready-to-use GMapping and Cartographer SLAM modules for mapping and path optimization tasks.
- Sandbox-Ready Teaching Platform: Compact autonomous vehicle base ideal for indoor navigation, AI education, and autonomous driving demonstrations.
- Scalable AI Framework Support: Fully compatible with TensorFlow, PyTorch, and OpenCV for custom AI module deployment and experimentation.
- Educational and Research Applications: Designed for AI autonomous driving curriculums, graduate-level robotics labs, and ROS integration research.
Technical Specifications
| Feature | Detail |
|---|---|
| Product Name | ROS Deep Learning Autonomous Driving Training Platform |
| Model | Mini Autonomous Vehicle Sandbox Robot |
| Main Controller | NVIDIA Jetson Nano / Raspberry Pi 5 (optional Jetson Xavier NX / Orin NX) |
| Operating System | Ubuntu 18.04 / 20.04 | ROS Melodic / Noetic | Pre-installed navigation and perception packages |
| Drive Architecture | Hybrid Mecanum & Ackermann structure for multi-mode motion simulation |
| Control System | DC encoder motors with PID feedback via ROS topics for velocity and steering control |
| Sensors | 2D LiDAR (for SLAM and path planning) + Depth Camera (for visual detection and lane tracking) + IMU |
| Navigation System | ROS Navigation Stack / GMapping / Cartographer / AMCL for real-time SLAM and autonomous navigation |
| AI Functions | Deep learning object recognition, lane detection, traffic-sign recognition, and path planning via neural networks |
| Software Stack | TensorFlow / PyTorch / OpenCV AI modules integrated with ROS node communication |
| Connectivity | USB / I2C / UART / Ethernet / Wi-Fi / Bluetooth (optional 4G network module) |
| Display & Control | 7-inch touch screen (optional keyboard / manual control mode) |
| Power System | 12 V Li-ion battery pack with smart power management module |
| Chassis Material | Aluminum alloy frame with precision servo mounts for camera and sensor modules |
| Dimensions | Approx. 450 × 350 × 250 mm |
| Max Speed | ≈ 1.5 m/s |
| Payload | ≈ 10 kg |
| Programming | Python / C++ for ROS | AI training frameworks: TensorFlow Lite, PyTorch Jetson SDK |
| Applications | University and AI curriculum training, Deep-learning based autonomous driving simulation, SLAM and vision algorithms development, ROS path planning and sensor fusion testing |
| Certifications | CE / RoHS / Educational Use Compliant |
1. General Shipping Information
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2. Shipping Options for Germany, EU* countries and US
(For Products in Munich Warehouse, Long Beach Warehouse)
2.1 Orders with a value not exceeding €5:
Shipping Options:
| Shipping Options | Germany | EU* |
|---|---|---|
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Deutsche Post |
€6 Arrive in 3-4 Business Days |
€15 Arrive in 5-9 Business Days |
| Shipping Options | Continental U.S. | Non-Continental U.S. |
|---|---|---|
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USPS Ground Advantage |
€7.95 Arrive in 3-7 Business Days |
€8.95 Arrive in 5-9 Business Days |
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UPS Express |
€13.95 Arrive in 2-4 Business Days |
€17.95 Arrive in 3-7 Business Days |
2.2 Shipping options for an order value between €5 and €30 inside Germany, €5 and €50 inside the EU, or €5 and €45 in the U.S.:*
Shipping Options:
| Shipping Options | Germany | EU* |
|---|---|---|
|
Deutsche Post |
€3.5 Arrive in 3-4 Business Days |
€6 Arrive in 5-9 Business Days |
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DHL Paket |
€6 Arrive in 2-3 Business Days |
€15 Arrive in 3-7 Business Days |
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DHL Express |
€14 Arrive in 1-2 Business Day |
€65 Arrive in 2-3 Business Days |
| Shipping Options | Continental U.S. | Non-Continental U.S. |
|---|---|---|
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USPS Ground Advantage |
€4.95 Arrive in 3-7 Business Days |
€6.95 Arrive in 5-9 Business Days |
|
UPS Express |
€11.95 Arrive in 2-4 Business Days |
€13.95 Arrive in 3-7 Business Days |
2.3 Free shipping options for an order value of above €30 inside Germany, €50 inside the EU* or €45 in US :
| Free Shipping Options | Germany | EU* |
|---|---|---|
|
Deutsche Post |
Free Above €30 | Free Above €50 |
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DHL Paket |
+ €2 for Above €30 / Free Above €60 | + €8 for Above €50 / Free Above €80 |
|
DHL Express |
+ €10 for Above €30 | + €60 for Above €50 |
| Free Shipping Options | Continental U.S. | Non-Continental U.S. |
|---|---|---|
|
USPS Ground Advantage |
Free above €45 | Free above €60 |
|
UPS Express |
+ € 8.95 for Above €45 | + € 11.95 for Above €45 |
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2.4 Shipping Options for International Countries:
(via Deutsche Post or YunExpress)
| Order Amount | International |
|---|---|
| €0 - €15 | €8 |
| €15 - €30 | €7 |
| €30 - €50 | €6 |
| €50 and above | €4 |
Important Notice:
- Please verify the inventory location on the product page before placing your order to confirm delivery timeframes.
- For products in the Shenzhen warehouse, we will typically first ship the products from the Shenzhen warehouse to our Munich warehouse or Long Beach warehouse, which will take around 1.5 weeks. After we receive the shipment in Munich/ Long Beach, we will send the items to you. We will only arrange YunExpress shipping from Shenzhen for orders with products in the Shenzhen warehouse worth more than €50.
- If you place an order with products from both Munich and Shenzhen warehouses, we will first ship the products in the Munich warehouse, and then send the remaining products to you when we receive them from Shenzhen.
3. International Warehouse
3.1 German Warehouse
3.2 US Warehouse
3.3 Chinese Warehouse
4. Customs and Taxes
4.1 How are customs handled by OpenELAB for import or export?
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4.3 What kind of fee will be charged except VAT?
Effective Date: August 7, 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 30 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.
- Returns of damaged, used, scratched, modified, or programmed items will not be accepted.
- Include the receipt, a brief note with your name, order number, and reason for return.
Shipping & Fees
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- If a return is requested due to customer reasons (e.g., change of mind, incorrect order, etc.), both the original shipping cost and the return shipping cost will be deducted from the refund amount.
- For returns due to customer reasons, we will generate and provide a return shipping label.
Payment Platform Fees
For all refunds requested due to customer reasons, a standard service fee will be deducted from the refund amount, which is charged by the payment platforms. The specific fees are as follows:
Shopify Payments: 1.8% + €0.3
PayPal: 4.4%
