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HIWONDER ROS2 Robot Car with ChatGPT Large AI Models, 6DOF Robotic Arm SLAM Mapping Navigation AI Vision Voice Control Scene Understanding ROS
AUD 1771
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What Stands Out
Product Details
| Brand Name | HIWONDER |
| Age Range Description | Adult |
| Manufacturer Maximum Age (MONTHS) | 1200 |
| Manufacturer Minimum Age (MONTHS) | 192 |
| Included Components | Smart AI Robot Car |
| Manufacturer | HIWONDER |
| Manufacturer Part Number | LanderPi-S-Tank-P54 |
| Theme | Science Fiction |
| Material Type | Metal |
| Item Dimensions | 7 x 17 x 8 inches (17.8 x 43.2 x 20.3 cm) |
Who Should Buy?
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Educational Institutions
Ideal for schools and universities seeking hands-on robotics education utilizing AI and ROS technologies.
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Robotics Enthusiasts
Perfect for hobbyists wanting to explore AI-driven robotics and develop programming skills with versatile hardware.
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Research Labs
Suitable for research environments focusing on AI applications, mapping, and navigation technology development.
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Casual Users
Not suitable for individuals seeking a simple, plug-and-play gadget without deep technical involvement.
Product Description
HIWONDER ROS2 Robot Car with ChatGPT Large AI Models, 6DOF Robotic Arm SLAM Mapping Navigation AI Vision Voice Control Scene Understanding ROS Education, LanderPi Standard Kit & RaspberryPi 5 4GB
Customer Questions & Answers
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Question:
What is the LanderPi robot car powered by?
Answer: It is powered by Raspberry Pi 5. -
Question:
What programming language is used for the LanderPi?
Answer: The LanderPi is programmed in Python. -
Question:
Does the LanderPi support ROS2?
Answer: Yes, the LanderPi is fully compatible with ROS2.
HIWONDER Robots Editorial Review
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AUD 1771
Order now and get it around Monday, September 14
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- Ideal for AI robot development with Raspberry Pi 5 and ROS2 support.
- High-performance hardware with advanced components for optimal efficiency.
- Advanced AI capabilities including SLAM mapping and vision recognition.
- Autonomous driving features enabled through YOLOv8 model training.
- Multimodal AI interaction with ChatGPT enhances human-robot communication.
- Open-source resources provide endless opportunities for robotics and AI learning.
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