LIMO Open-Source Mobile Robot (ROS compatible)

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AgileX Robotics LIMO Pro Mobile Robot

Name: LIMO Open-Source Mobile Robot (ROS compatible)
Brand: AgileX
SKU: f0d00c96-e35a-458a-b2f6-49e19a01e73c
Price: 2694.68 EUR
Availability: InStock

AgileX | A-000000-04918

€3,368.35

€2,694.68 VAT incl. €2,245.57 VAT excl.

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Der LIMO Pro von AgileX Robotics ist eine kompakte mobile Robotikplattform für Forschung, Lehre und die Entwicklung von Anwendungen in den Bereichen autonome Navigation, SLAM, Computer Vision und eingebettete KI.

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IMO Pro: a compact ROS 2 platform for mobile robotics

ROS 2 Humble compatible: AgileX development packages available for Ubuntu 22.04 and ROS 2 Humble.
NVIDIA Jetson Orin Nano: onboard computing for sensor fusion, SLAM, vision, and AI models.
EAI T-mini Pro LiDAR: laser sensing for mapping, localization, and obstacle detection.
Orbbec DaBai depth camera: RGB-D perception for navigation and computer vision applications.
4 locomotion modes: 4-wheel differential drive, Ackermann steering, tracked drive, and Mecanum wheels.
Payload up to 4 kg: for integrating additional sensors, accessories, or modules.
Speed up to 1 m/s: suitable for autonomous navigation experiments in laboratories and experimental environments.
Open interfaces: development with ROS, Python, C++, and Gazebo.

Thanks to its compact format, the LIMO Pro provides a complete robotics platform without requiring the space or resources needed for a larger UGV. It is particularly suited to universities, laboratories, engineering schools, and R&D teams looking to develop and test algorithms directly on a physical robot.

4 locomotion modes to test different mobile robot models

One of the main advantages of the AgileX LIMO Pro is its ability to operate with four different locomotion architectures. The same platform can therefore be used to experiment with several kinematic models and control strategies.

4-wheel differential drive: a simple configuration for navigation and SLAM.
Ackermann steering: vehicle-like behaviour, relevant for autonomous driving research.
Tracked mode: for experimenting with mobility on more irregular surfaces.
Mecanum wheels: omnidirectional movement for working on more complex trajectories and manoeuvres.

This multimodal architecture makes it possible to use a single robot for different practical exercises or research projects involving kinematics, control, autonomous navigation, or path planning.

ROS 2 Humble compatible for SLAM, navigation, and simulation

The LIMO Pro is compatible with ROS 2 Humble through the ROS 2 packages maintained by AgileX Robotics. The ROS 2 Humble development environment provides access to chassis control, IMU data, odometry, and the robot’s various sensors.

This compatibility enables the development of projects involving:

SLAM and mapping: map generation using LiDAR and odometry data.
Autonomous localization: estimation of the robot’s position within an existing map.
Autonomous navigation: path planning and movement towards target positions.
Obstacle avoidance: use of LiDAR and depth camera data.
Gazebo simulation: development and validation of algorithms before deployment on the physical robot.
Teleoperation: robot control via ROS 2, keyboard, or control interfaces.

Jetson Orin Nano, LiDAR, and RGB-D camera for onboard perception

The LIMO Pro integrates an NVIDIA Jetson Orin Nano combined with an EAI T-mini Pro LiDAR and an Orbbec DaBai depth camera. This combination provides a ready-to-use hardware platform for projects combining navigation and perception.

3D SLAM
Vision-based line following
Object recognition with YOLO
Target detection and tracking
Autonomous navigation
Dynamic obstacle avoidance

The Jetson Orin Nano can also run vision processing and deep learning models locally, without systematically relying on an external computer.

A mobile robot for research, education, and prototyping

The LIMO Pro can be used as a platform for a wide range of mobile robotics projects:

ROS 2 education: topics, nodes, TF, odometry, sensors, and mobile base control.
Autonomous navigation research: SLAM, localization, planning, and obstacle avoidance.
Robot vision: object recognition, target tracking, and RGB-D perception.
Embedded artificial intelligence: running models on NVIDIA Jetson Orin Nano.
Multimodal robotics: comparison of several locomotion architectures on a single platform.
Prototyping: rapid validation of algorithms before integration on a larger robot.

Its compact footprint also makes the LIMO Pro particularly suitable for teaching laboratories, test benches, and research environments where several robots need to be deployed simultaneously.

LIMO Pro package contents

1 LIMO Pro mobile robot
1 battery
1 charger
4 Mecanum wheels
2 tracks
Mounting accessories and hardware

Technical specifications of the AgileX Robotics LIMO Pro

Dimensions	322 × 220 × 251 mm
Weight	4.8 kg
Payload	4 kg
Runtime	2.5 h
Standby time	4 h
Wheelbase	200 mm
Track width	175 mm
Minimum ground clearance	24 mm
Drive system	4 wheel motors × 14.4 W
Maximum speed	1 m/s
Minimum turning radius in Ackermann mode	0.4 m
Locomotion modes	4-wheel differential drive, Ackermann, tracks, Mecanum
Operating temperature	-10 °C to +40 °C
Onboard computer	NVIDIA Jetson Orin Nano
CPU	6-core Arm Cortex-A78AE
GPU	1024 CUDA cores
LiDAR	EAI T-mini Pro
Depth camera	Orbbec DaBai
IMU	HI226
Battery	10 Ah / 12 V
Connectivity	Wi-Fi, Bluetooth
Interfaces	USB Type-C, USB 2.0, HDMI
Rear display	7-inch IPS touchscreen, 1024 × 600
Front display	1.54-inch OLED, 128 × 64
ROS	ROS 2 Humble compatible
ROS 2 environment	Ubuntu 22.04 + ROS 2 Humble via AgileX limo_ros2 packages
Programming languages	Python, C++
Simulation	Gazebo