Raspberry Pi Smart AI Robot Car Kit, ROS SLAM Tank Car with LIDAR Mapping Navigation, Hd Camera, 3.5 inch Touch Display Programming Project for Adults(Black with Raspberry Pi)
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At a glance
- Condition
- New
- Color
- Black
- Model
- With Rapberry Pi 4B 4GB
- Storage
- 32 GB
- Memory
- 4 GB
- Dimensions
- 9.52"L x 11.81"W x 11"H
- Weight
- 3 kg
- Works with
- Raspberry Pi 4B (4GB), Android devices, Computers (Python and C compatible)
Features 6
- The necessary Raspberry Pi 4B (4G) is included in the kit includes TF card* 1 and battery pack.
- Programmable ROS Robot KitThe XR-ROS SLAM autonomous navigation robot is a professional programming kit based on the ROS system. It is equipped with a Raspberry Pi 4B (4GB) motherboard, which is simple and fast to operate and can be easily taught. Using Python and C languages, AI deep learning can be implemented. Even a programming novice can easily control it. The XR-ROS car is widely used in university intelligent laboratories, artificial intelligence research institutions, etc.
- AI function combinationThe AI robot kit has rich functions, equipped with XR-Lidar S1 lidar, which can achieve accurate scanning and ranging and build maps; it also has tracking, automatic driving, fixed-point or multi-point navigation , obstacle avoidance, and camera patrol, ROS heading feedback and other functions. Equipped with the "Human-Computer Interaction System" exclusively created by XiaoR GEEK, with the exclusive Android APP, it is easier to operate through a 3.5-inch touch.
- Professional hardwareXR-ROS SLAM robot car has a large-size high-end aluminum alloy chassis, SLAM lidar, high-definition camera, powerful encoding motor, metal servo, XiaoR professional robot expansion board, which can stably and easily pass through various complex ground. Users can assemble within an hour according to our video instructions, which is a great educational | birthday | summer camp project for teenagers to improve their DIY skills and teamwork skills.
- Rich programming tutorialsYou will get a complete set of learning frameworks, related tools, firmware, control software, and source code annotations provided by XIAOR GEEK. Take you from the basics to a deeper understanding of the ROS SLAM autonomous navigation robot in the Raspberry Pi. You can carry out secondary development based on existing code to create your own self-driving robot car.(Official Ros system only supports Android)
- Reliable Customer Service XIAOR GEEK products are sold in more than 50 countries and are widely recognized and supported by customers. Our customer service will provide you with professional, reliable and timely pre-sales and after-sales services. If you have any questions or problems with product or program learning, please feel to contact us.
Description
Established in 2014, XiaoR Geek focuses on educational teaching robots, smart car software, and hardware training kits, and content. We strive to use easy-to-use kits, advanced code architecture, fast development methods, and easy-to-getting started electronic tutorials for students and creators. Raspberry Pi AI Robot Kit Jetson Nano AI Robot Kit Our XiaoR GEEK company specializes in open source hardware and maker education. The company's products now have covered early childhood education, smart robot education, etc. We strive to provide students and maker groups with the easiest-to-use kits, the most advanced code structure, the fastest development method, and the easiest electronic tutorials to get started. We provide you with quality products exc ell ent ser-vice. Cust-omer satis-fac tion is our top priority! The XR- Ros SLAM smart car is developed based on the open-source ROS platform. It provides a series of libraries and tools to help software developers create robot applications and hardware abstraction, device drivers, function libraries, visualization tools, messaging and package management. As a basic technology, SLAM currently has a variety of algorithms such as HECTOR, MAPPING, KARTO, etc., and has made a series of applications based on the construction of the map, such as navigation: the robot will plan the route on the map, when planning Obstructions on the route will enable dynamic obstacle avoidance, as well as multi-point cruises. XIAOR GEEK provides instructional course documents and videos to help you get started with ROS easily. Using XR lidar s1, support GMAPPING, Hector/harto Algorithm to build maps, and support the keyboard, mouse and select areas to build maps. Indoor autonomous navigation dynamic obstacle avoidance According to indoor maps and path planning, secondary planningwill be carried out when the roads are not available, and dynamic obstacle avoidance can be realized. Indoor multi-point positioning function, autonomous path planning avoiding obstacles, arriving at destination in sequence. Laser radar follow the master's movement. Internally integrated gmapping, hector/Harto algorithm. AI intelligent programming robots, secondary development to build their own robot cars. Clear understanding systematic state, Easy to troubleshoot and debug. This AI robot is equipped with an independently developed "XR-ROS human-computer interaction system". Together with the exclusive APP(Android), if you have no any knowledge of programming, you can easily to getting started with interactive operations such as real-time mapping or navigation on the mobile phone.
Specs 21
| Brand | XiaoR Geek |
|---|---|
| Ram Memory Installed Size | 4 GB |
| Memory Storage Capacity | 32 GB |
| Connectivity Technology | Bluetooth |
| Included Components | NO |
| RAM Memory Installed | 4 GB |
| Operating System | Linux |
| Processor Brand | Broadcom |
| Wireless Compability | Bluetooth |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 1 |
| Total Usb Ports | 4 |
| Item Dimensions L x W x H | 9.52"L x 11.81"W x 11"H |
| Built-In Media | NO |
| Number of Packs | 1 |
| Number of Items | 1 |
| UPC | 713838511548 |
| Unit Count | 1 Count |
| Item Weight | 3 kg |
| Manufacturer | XiaoR GEEK |
| Mfr Part Number | With Rapberry Pi 4B 4GB |
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