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Robotics

  1. Exc. VAT: £50.33 Inc. VAT: £60.40

    YDLIDAR X2 is a 360-degree two-dimensional rangefinder (hereinafter referred to as X2) developed by YDLIDAR team.

  2. Exc. VAT: £72.70 Inc. VAT: £87.24
    YDLIDAR X4 is a 360-degree two-dimensional rangefinder (hereinafter referred to as X4) developed by YDLIDAR team.
  3. Exc. VAT: £116.08 Inc. VAT: £139.30

    YDLIDAR G2 is a 360-degree two-dimensional rangefinder (hereinafter referred to as G2) developed by YDLIDAR team. Based on the principle of triangulation, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-precision distance measurement.

  4. Exc. VAT: £237.25 Inc. VAT: £284.70

    YDLIDAR G4 is a 360-degree two-dimensional rangefinder (hereinafter referred to as G4) developed by YDLIDAR team. Based on the principle of triangulation, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-precision distance measurement.

  5. From: £279.33

    To: £476.12

    YDLIDAR TG is a 360-degree two-dimensional rangefinder (hereinafter referred to as TG) developed by YDLIDAR team. Based on the principle of TOF, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-precision distance measurement.

  6. Exc. VAT: £6,671.68 Inc. VAT: £8,006.02

    SMART Intelligent Mobile Platform(below abbreviation”SMART”) is the newest, high-standard and open ROS SLAM research platform developed by EAI. SMART is internally installed high-performance Slam navigation module, high-precised G4 lidar; it adopts the advanced dynamical suspension system which is featured by excellent stability and ground adaptation, advanced obstacle avoidance and navigation capability . It is very suitable to the SLAM research.

  7. From: £3,356.67

    To: £4,816.42

    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.