Introducing LIMO, the groundbreaking ROS development platform redefining robotics education and industry applications. LIMO integrates four versatile motion modes, including four-wheel differential, Ackermann, track-type, and Mecanum wheel, offering unprecedented adaptability for diverse scenarios. Equipped with top-tier components like the NVIDIA Jetson Orin Nano, EAI Tmini Pro LiDAR, and depth camera, LIMO empowers precise autonomous positioning, SLAM mapping, route planning, and autonomous obstacle avoidance. With its innovative mechanical design facilitating swift mode switching and supported by professional sand table environments, LIMO provides an immersive learning and testing platform for robot education, R&D, and product development. From its robust construction to its comprehensive tech specifications, LIMO sets a new standard in robotics innovation and functionality.

Preface

LIMO is the world's first ROS development platform that integrates four motion modes. It provides a learning platform that adapts to a wider range of scenarios and is more in line with industry application requirements. It is suitable for robot education, function research and development, and product development. Through innovative mechanical design, it can realize the fast switching of four-wheel differential, Ackermann, track-type, and Mecanum wheel motion modes, and can quickly establish multi-scene practical teaching and testing in the supporting professional sand table. LIMO is equipped with NVIDIA Jeston Nano, EAI Tmini Pro LiDAR, depth camera and other high-performance sensor configurations, which can realize rich functions such as precise autonomous positioning, SLAM mapping, route planning, autonomous obstacle avoidance, autonomous reverse stall parking, traffic light recognition and so on.

Component list

Name	Quantity
LIMO high-end body	x1
Battery	x1
Charger	x1
Mecanum wheel	x4
APP_Nexus	X1
Track	x2
Cross screwdriver	1
Screw	M3x12mm，3pcs；M3x5mm，20pcs

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Tech specifications

Item	Parameters	Values
Mechanical	Overall dimension	322220251mm
	Wheel base	200mm
	Tread	175mm
	Dead load	4.8kg
	Load	4kg
	Minimum ground clearance	24mm
	Drive type	Hub motor(4x14.4W)
Performance	No-load max. speed	1m/s
	Ackermann minimum turning radius	0.4m
	Work environment	-10~+40℃
	Max. climbing capacity	20°
System	Power interface	DC（5.5x2.1mm)
	IPC	jetson orin nano
	OS	Ubuntu20.04
	IMU	HI226
	CPU	6-core Arm® Cortex®-A78AE
	GPU	1024 CUDA cores
	Battery	10Ah 12V
	Working time	2.5H
	Stand-by time	4h
	Communication interface	WIFI, Bluetooth
	Sensor	LIDAR
Depth camera		DaBai
USB-HUB		TYPE-C x1、USB2.0 x2、HDMI
Front display		1.54 inch 128x64 white OLED display screen
Rear display		7 inch 1024x600 IPS touch screen
Control	Control mode	Mobile APP, command control
	Mobile APP	Bluetooth, maximum distance 10m

Nvidia Jetson Orin Nano introduction

Jetson Orin Nano is an embedded AI computer based on NVIDIA's Orin chip. It is a member of the NVIDIA Jetson series of products designed to provide developers and manufacturers with a high-performance, low-power AI computing platform. Jetson Orin Nano is a small, low-power computer widely used in intelligent surveillance, robotics, autonomous driving, and other fields. Equipped in the limo pro version, it can be used for the expansion of robot navigation and positioning, image processing, voice recognition etc.

Name	Parameters
GPU	1024-core NVIDIA Ampere architecture GPU with 32 tensor cores
CPU	6-core Arm Cortex-A78AE v8.2
Memory	8GB 128-bit LPDDR5
Storage	Nvme 128G
Video encode	1080p30 supported by 1-2 CPU cores
Video decode	1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265)
Camera	Up to 4 cameras 8 lanes MIPI CSI-2 D-PHY 2.1
Networking	Gigabit Ethernet, external expansion of M.2 Key E interface
Display	DP X 1
USB	4x USB 3.2 Gen2
Extended interface	3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs

Component Name