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Price: $3,199.95 Special Order

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    Specifications

    • Weight
    • Dimensions
    • Run Time
    • CPU
    • OS
    • Payload
    • 4.8kg
    • 322L x 220W x 251H mm
    • 2.5 hours
    • 6 Core Arm@ Cortex@-A78AE
    • Ubuntu 20.04
    • 4kg

    Software Features

    Hardware Features

    The Limo Pro is an innovative multi-modal, compact, and customizable mobile robot with AI modules and open-source ROS packages, which enable researchers and enthusiasts to program and develop AI robots easier. The LIMO Pro features many impressive upgrades from its predecessor, including improved computing power, battery life, and support for ROS 2 in addition to ROS 1. The LIMO Pro has four steering modes including Omni-directional steering, tracked steering, Ackermann and four-wheel differential. Equipped with strong perception sensors and the Nvidia Orin Nano, it is an excellent platform to develop indoor and outdoor applications while learning ROS. Beginner-friendly ROS packages are provided, allowing users to easily develop and validate new functions of AI and autonomous driving applications.


    Software

    ROS & ROS2 - Robot Operating System, or ROS, is an open-source robotics middleware suite. ROS provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management.

    Gazebo - Gazebo offers the ability to accurately and efficiently simulate populations of robots in complex indoor and outdoor environments. At your fingertips is a robust physics engine, high-quality graphics, and convenient programmatic and graphical interfaces. Best of all, Gazebo is free with a vibrant community. Gazebo simulation packages are provided.

    Navigation & Path Planning - Using sensor readings about its surroundings, Limo can navigate to a commanded location with or without a prebuilt map.

    Object Detection & Obstacle Avoidance - Using computer vision, Limo can detect certain objects like letters, numbers, and traffic lights. While navigating, Limo can sense obstacles in its path and plan local paths to avoid it while staying on track.

    Simultaneous Localization & Mapping - Limo can leverage sensors like lidars and depth cameras to construct a map of its environment while accurately tracking its own location. Limo comes pre-configured to work with three different SLAM packages: AMCL, GMapping, and Cartographer.

    Hardware


    Nvidia Orin Nano Developer Kit - Orin Nano Power: Built on NVIDIA's advanced Orin Nano, a high-performance embedded AI computing platform.


    EAI T-mini Pro LiDAR - High accuracy EAI T-mini 2D laser with scan frequency of 6-12Hz, range frequency of 4000Hz, range distance of 0.02 to 12m (based on reflectivity of object) allows for ROS navigation and obstacle avoidance as well as environmental scanning and 3D reconstruction.

    ORBBEC® Dabai Stereo Depth Camera - The ORBBEC® Dabai Stereo Depth Camera is a high-precision, ultra-low power consumption and low-cost stereo depth camera that can provide color and depth images, and can be used to generate dense pointclouds. The ORBBEC® SDK and ROS wrappers are provided to make computer vision development a breeze. With a field of view up to 67.9°, a range between 0.3m and 3m, and an accuracy of +/-6mm, the Dabai is the perfect choice for the LIMO.


    Metal Structure, Powerful Motor - Limo’s metal structure and powerful integrated direct-drive motors give it the speed and protection for high-velocity maneuvers and allow it to easily climb slopes of 25°.


    Patented Four Steering Modes - Limo comes with four different steering modes: Four-wheel differential drive, tracked, omni-directional, and Ackermann. This versatility allows developers to perform research on a wide range of applications.


    Packages

    Limo Simulation Table - The simulation table is specifically designed for the Limo and is perfect for autonomous driving projects and curriculum. The table allows for autonomous traffic light recognition, autonomous reversing and warehousing as well as autonomous navigation and detection.

    Specifications

    Mechanical

    • Dimensions
    • Weight
    • Payload
    • Climbing Ability
    • Max speed (no load)
    • Wheels
    • 322L x 220W x 251H mm
    • 4.8kg
    • Up to 4kg
    • 40° (under track mode)
    • 1m/s
    • Off-Road Wheel x4, Mecanum wheel x4, track x2

    Hardware System

    • Working Temperature
    • Power Interface
    • OS
    • IMU
    • CPU
    • GPU
    • Battery
    • Work Time
    • Standby Time
    • Communication Interface
    • -10~+40°C
    • DC (5.5 x 2.1mm)
    • Ubuntu 20.04
    • HI226
    • 6 Core Arm@ Cortex@-A78AE
    • 1024-core CUDA
    • 10Ah 12V
    • 2.5H
    • 4H
    • WiFi, Bluetooth

    Sensors

    • LIDAR
    • Camera
    • Industrial PC
    • Monitor
    • EAI T-mini Pro
    • Orbbec DaBai
    • NVIDIA Orin Nano(8G)
    • 7inch 1024x600 touch screen

    Drawings