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- Yahboom MicroROS Robot Kit Virtual Machine PC Control R...
物品 #:
139747031
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation, OpenCV (Standard Version)
86% of respondents would recommend this to a friend
物品 #:
139747031
HKD 2500
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 英國
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現在訂購，約可在下列時間收貨： 星期三, 九月 30
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Using microROS, the robot can transmit chassis data to a PC virtual machine, enabling LiDAR mapping navigation, path planning, navigation obstacle avoidance, tracking, LiDAR guard and patrol, as well as multi-robot navigation.
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What Stands Out
AI Visual Recognition
Enhances automation capabilities with advanced AI algorithms for object recognition, significantly improving the robot's interaction with its environment and decision-making processes.
SLAM Mapping
Utilizes sophisticated SLAM technology for precise navigation and mapping, enabling efficient exploration in unknown spaces without prior coordinate knowledge.
PC Control
Offers seamless PC integration for real-time control, enhancing user experience with intuitive programming and monitoring capabilities, ideal for both beginners and advanced robotics enthusiasts.
產品詳情
Who Should Buy?
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Robotics Enthusiasts
Perfect for hobbyists interested in exploring robotics, machine learning, and artificial intelligence through hands-on projects.
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Students and Educators
Great resource for students learning robotics and AI concepts, providing practical applications of theoretical knowledge.
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Research Developers
Ideal for developers conducting research in robotics, offering tools for navigation, visual recognition, and algorithm development.
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Casual Users
Not suitable for those seeking a simple gadget, as it requires technical knowledge and programming skills.
產品敘述
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation, OpenCV (Standard Version)
有疑問？ 與我們聊天
客戶問題與解答
-
題:
What type of lidar does the ROS smart robot support?
回答: ORBBEC MS200 TOF lidar for indoor and outdoor mapping navigation. -
題:
What kind of tutorials are offered by Yahboom?
回答: Yahboom offers practical and theoretical courses on low-level hardware drivers, robot control, setup of various development environments, and more. -
題:
How long is the battery life of the microROS robot kit?
回答: The microROS robot kit has a battery life of 5 hours with the included 7.4V-2000mAh battery.
Yahboom Robots Editorial Review
### Editorial Review The Yahboom MicroROS Robot Kit offers an engaging entry point into the world of robotics and ROS (Robot Operating System) for beginners. Many users appreciate the affordability of this kit, specifically designed for those looking to experiment with SLAM (Simultaneous Localization and Mapping), AI visual recognition, and advanced navigation techniques. The kit's architecture relies on a virtual machine running on Linux (Ubuntu), which, despite some initial setup complexity, is reported to yield satisfying results once configured correctly. Users have noted the quality of components included in the kit, such as the LiDAR sensor, wheels, motors, and the well-made metal casing. Support from Yahboom is described as efficient, with prompt assistance provided through detailed instructions and screenshots. Moreover, customers have highlighted the overall value of the kit, given that the individual parts would typically cost significantly more. However, some common points of criticism have emerged, particularly regarding the wheel attachment, which can be loose and affect the odometer readings. While this is a concern, buyers feel that such minor flaws are easily remedied and do not overshadow the great educational value offered by the kit. Overall, the Yahboom MicroROS Robot Kit stands out as a compelling and cost-effective resource for anyone involved in robotics education, making it particularly appealing for those interested in LiDAR technology and ROS development. ### Pros and Cons **
Customer Reviews & Ratings
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優點
- Affordable entry point for learning ROS and robotics
- High-quality components including LiDAR sensor and motors
- Helpful and responsive customer support
- Strong educational value with potential for experimentation
- Comparable savings compared to purchasing individual components
缺點
- Wheels may be loosely attached, affecting performance
Platform Trust & Buyer Confidence
FZ
F Zhang
Verified buyer
“Good product, and smooth delivery!”
18-Jul-26 · via Trustpilot
RD
Roxy
Verified buyer
“Great products and services”
17 April 2026 · via Trustpilot
KD
Khushi
Verified buyer
“Ubuy Hong Kong is a game-changer. I was looking for a specific American brand that doesn't ship to Asia, and Ubuy had it in stock. The selection of global products is incredible. It saves me the hassle of using freight forwarders or asking friends to bring items over. The process was seamless from checkout to delivery”
6 July 2026 · via Trustpilot
KM
kritika
Verified buyer
“I?m always nervous buying electronics and skincare online, but Ubuy Hong Kong delivered exactly what I ordered and it was 100% genuine. It?s refreshing to find a platform that you can actually trust with premium brands. Will definitely be a returning customer.”
3 July 2026 · via Trustpilot
S
Sam
Verified buyer
“Great product, good packing, the goods arrived quickly and well protected.”
6 June 2026 · via Trustpilot
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HKD 2500
現在訂購，約可在下列時間收貨： 星期三, 九月 30
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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特色和優勢
- Efficiently implement ROS2 applications via microROS on resource-constrained hardware platforms
- Eliminates the need for expensive devices like Jetson or Raspberry Pi
- Supports Rviz simulation for intuitive visual feedback
- Features durable anodized aluminum alloy construction
- Supports indoor and outdoor mapping navigation with accurate and fast measurement speed
- Rich tutorials provided for quick learning, with professional technical support available from Yahboom
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