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Item #:
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
Item #:
139747031
MYR 1553
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Imported from UK store
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Order now and get it around Wednesday, September 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.
Product Details
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.
Product Description
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation, OpenCV (Standard Version)
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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 **
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Pros
- 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
Cons
- Wheels may be loosely attached, affecting performance
Product Price History
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MYR 1553
Order now and get it around Wednesday, September 30
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Features & Benefits
- 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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