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YDLIDAR SMART - Robot Base (ROS)

YDLIDAR SMART - Robot Base (ROS)

AgileX - SCOUT MINI

AgileX - SCOUT MINI

YDLIDAR - EAI LEO ROS Educational Robot

LEO mobile robot is an intelligent mobile platform for teaching, research and competition among university users. It is a revolutionary product.LEO is of moderate size and can be flexibly deployed in the robot teaching laboratory.

It can be easily integrated with a variety of robotic arms and sensors, and has good scalability.It supports the open source ROS robot operating system and provides a range of resources for ROS learning.

SKU
YD-LEO

The simple and smooth appearance, rigorous design idea, exquisite production process, reliable software configuration and cases close to practical applications engender the concept of "productization" of LEO mobile robot.



Modular Design

LEO mobile robot adhering to the modular design concept, the whole machine is divided into wheel group, control host, depth camera, mechanical arm (optional) several major functional modules, easy to disassemble and install, simple maintenance. The operation between each module is relatively independent, which maximizes the orderly operation of the whole machine.When one of the modules fails, it can be replaced simply instead of disassembling the whole machine to reduce maintenance cost and save time.


Moderate Size

Convenient to carry

The overall size Of LEO mobile robot is 220*380*150 (mm). It can be conveniently deployed in various laboratories to save space and reduce the cost of laboratory construction while it is equipped with various functional modules that the mobile robot should have.

LEO mobile robot is equipped with high-quality air packing box, which can not only provide reliable protection for LEO, but also make it convenient and easy to carry, especially suitable for frequent moving scenarios such as going out to participate in competitions.


Support open source ROS

LEO mobile robot supports ROS robot operating system, which is open source and free, with a large user base and abundant learning resources-lt provides a framework and tool for robot program control and has gradually developed into a DE facto standard for robot software development and application.

Supporting materials and services

LEO mobile robot is an important part Of the "robot teaching laboratory program". It's equipped with complete teaching materials and services, including the following:


Based on the experimental instruction book of LEO mobile robot and related teaching materials

Electronic materials, such as video tutorials, multimedia teaching courseware, etc

The DEMO source code Teacher training based on ROS knowledge and ROS teaching

Modular structure, easy to assemble



Based on open source ROS



Various DEMO



Carried with ROS Studio learning environment



Specifications


Overall structure

Drive methods Differential control
Drive wheel 4 inch rubber wheel
Main structural materials Sheet metal, ABS
Dead weight About 10kg

­­Processor performance

Processor INTEL I5
RAM DDR3 4G
ROM 128G SSD(Solid state disk)

­­Sensor parameters

Lidar EAI G1 high-precision lidar
Motor Brushless DC motor
Obstacle avoidance sensor Ultrasonic module*2
IMU module MEMS gyroscope, 3-axis accelerometer
RGB camera
  • *1 installed in front(Optional),
  • *1 mounted by hanging via robot arm (Optional)
  • Depth RGB-D camera *1(Optional)
    robot arm DOBOT Magician robot arm (Optional)

    ­­Battery and battery life

    Battery type Power lithium battery
    Battery capacity 11.2Ah/24V
    Charging time About 4.5 hours
    Charging voltage 29.4V
    Battery life About 8 hours

    Motion capability

    Climbing capability 12° Vertical obstacle
    crossing ability 18mm
    Motion speed 1m/s

    Control method

    APP control Support
    RosStudio IDE control Support
    Remote login SSH control Support
    Remote controller control Support

    Working environment

    Charging temperature 0~45ºC
    Discharging temperature -10~60ºC
    Working moisture 30%~70%

    Port

    Power port 12V
    Hardware port LAN*1, WAN*1, VGA*1 USB3.0*2、USB2.0*1

    Openness

    All algorithms are open source Support
    Android secondary development DEMO Support

    More Info

    Product Manual
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