Description
 

ROS Robot Car Autolabor2.5 Development Platform Wheeled Chassis SLAM Navigation w/ Raspberry Pi 3B

Description:
Autolabor is a widely used robot platform. Through Autolabor, you can quickly understand the use of ROS robot operating system, robot learning, motion control, SLAM and motion planning, ROS framework and related software and hardware development. We provide rich information, source code and online simulator (Autolabor Simulation), so that every customer can quickly get started and efficiently carry out secondary development, and give customers a better experience.

Specification:
Material: thickened acrylic
Size: 30 x 35cm
Weight: 4kg
Load: 8kg
Speed: 0.25m/s
Remote control: WIFI
Software system: Ununtu Mate 16.04
ROS version: Kinectic
Driving mode: four wheel drive, differential steering
Battery capacity: 12.6V 6800mAh
Open source: hardware circuit diagram, underlying driver software, SLAM algorithm, map remote control app (obtain from official website)
Board computer: Raspberry Pi 3B
SD card: 32G
Main control board: Arduion Mega 2560
Motor: 3W x 4
Mileage meter: ǀ ǀ line x168 deceleration ration encoder
Built-in software: Autolabor OS, Autolabor Remote App

Package List:
1 x ROS Robot Car

 


Payment Terms
 
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Shipping Terms
 
- For remote regions, we will charge your extra shipping costs. Usually it cost about 35USD-50USD. We will contact you after your payment. Thanks for your understanding.
Return Terms
 
1. If you receive defective item, please kindly notify us within 14 days. We will guide you the returning instruction for replacement or refund.
2. If you purchased in improper condition, please NOTE that the sipping and handling fee will not be refund, all return shipping fee should paid by the buyer unless item DOA.
3. We reserve the right to refuse any returns for objective reasons.
Custom Duties & Taxes
 
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2. Avoiding some unnecessary trouble, please check with your country's customs office to inform us what we should declare its value before shipping.
Feedback
 
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On Dec 20, 2023 at 02:34:14 PST, seller added the following information:

DataCaciques