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- Yahboom MicroROS Robot Kit Virtual Machine PC Control R...
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation, OpenCV (Standard Version)
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NOK 3562
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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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Produkt detaljer
Hvem passer produktet for?
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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.
PRODUKTBESKRIVELSE
Yahboom MicroROS Robot Kit Virtual Machine PC Control ROS AI Visual Recognition, SLAM Mapping Navigation, OpenCV (Standard Version)
Kundespørsmål og svar
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Spørsmål:
What type of lidar does the ROS smart robot support?
Svar: ORBBEC MS200 TOF lidar for indoor and outdoor mapping navigation. -
Spørsmål:
What kind of tutorials are offered by Yahboom?
Svar: Yahboom offers practical and theoretical courses on low-level hardware drivers, robot control, setup of various development environments, and more. -
Spørsmål:
How long is the battery life of the microROS robot kit?
Svar: 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 **
Kundeanmeldelser og vurderinger
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5 stjerne
100%
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4 stjerne
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Del tankene dine med andre kunder
Fordeler
- 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
Ulemper
- Wheels may be loosely attached, affecting performance
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NOK 3562
Bestill nå, så får du den omkring Onsdag, September 30
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Funksjoner og fordeler
- 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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