Agilex LIMO PRO

A robot that teaches autonomy has to be small enough to lift onto a bench and capable enough to carry a full perception stack. The Agilex LIMO PRO is built around that compromise: a compact four-wheeled platform with an NVIDIA Jetson Orin Nano, an EAI T-mini Pro LiDAR and an Orbbec Dabai depth camera already integrated, so that mapping, obstacle avoidance and visual recognition work can start on day one instead of after weeks of wiring.

The product is available through this page, by quotation.

Background

The company and the LIMO line

Agilex is a robotics brand whose mobile platforms are used in teaching laboratories, research groups and prototype workshops. Its catalog is gathered in the AgileX category, where compact educational bases sit beside larger field platforms. Within that range, LIMO is the small multi-purpose platform for developers who want a real robot without the footprint of an industrial vehicle.

The sources name three versions of the line: LIMO, LIMO PRO and LIMO ROS2. This article describes the LIMO PRO only, and every figure below belongs to that version. One detail from the LIMO family is worth knowing: LIMO comes with a specially designed simulation table, a practical aid for testing behavior on a tabletop before a robot drives anywhere else.

Positioning and key technology

The LIMO PRO is positioned as a ready-to-develop base for autonomous navigation, obstacle avoidance and visual recognition. Its computing unit is the NVIDIA Jetson Orin Nano, with a 6-core Arm Cortex-A78AE CPU and a GPU with 1024 CUDA cores. That gives the robot room to run perception workloads on board rather than sending everything to a laptop.

Sensing comes from two instruments. The EAI T-mini Pro LiDAR measures the surroundings in the plane, while the Orbbec Dabai depth camera adds a view of depth and shape in front of the robot. An HI226 inertial measurement unit supplies motion data. Together they support robust environmental perception for the navigation and recognition tasks the platform is designed for.

Movement uses a Four-Wheel Differential Steering Mode, which makes driving on any surface easy. The package includes both 4 Mecanum wheels and 2 tracks, so the same robot can be set up for different floors and different experiments. The battery capacity is increased to 10000mAh, which greatly enhances power and operational stability.

Technical Specifications

Specifications as published by the manufacturer; confirmed against the datasheet at quotation.

The manufacturer has not published the IP rating, the maximum climbing angle, the charging time, the RAM and storage capacity or the motor power rating; they are confirmed at quotation.

What makes the LIMO PRO different from the standard LIMO?

The difference starts with the computing and sensing package. The LIMO PRO integrates the NVIDIA Orin Nano alongside the EAI T-mini Pro LiDAR and the Orbbec Dabai depth camera, and this combination is the basis for robust environmental perception and intelligence. For a team that wants to run recognition models and mapping on the robot itself, having that hardware already mounted and matched removes a good deal of integration work.

The second difference is endurance. The battery capacity is increased to 10000mAh, with a runtime of 2.5 h and a standby time of 4 h. For a lab session or a classroom block, that means fewer interruptions for charging.

Finally, the PRO ships with both Mecanum wheels and tracks. That gives the buyer a choice of locomotion hardware in one box, while the Four-Wheel Differential Steering Mode keeps driving straightforward on varied surfaces. Figures for the other versions belong to those versions and are not given here.

Which software does the LIMO PRO work with?

The platform supports ROS and Gazebo, and it is compatible with Python and C++, the two languages most robotics teams already use. Compatibility with ROS1 Noetic and ROS2 Foxy means a group can keep an existing ROS1 codebase or move toward ROS2 without changing the robot.

Gazebo support matters for a practical reason: algorithms can be checked in simulation first and then carried to the physical robot with the same tooling. Wi-Fi and Bluetooth connectivity make it easy to reach the robot from a development machine during those tests.

Who is the LIMO PRO for?

Universities and technical schools are the clearest match. A robot of 4.8 kg with a 322 × 220 × 251 mm footprint fits on a lab table and in a standard classroom, and the open ROS and Python tooling suits coursework in navigation and perception.

Research groups and prototype teams form the second segment. They can validate mapping, obstacle avoidance and recognition ideas on real hardware before committing to a larger vehicle. The 4 kg payload allows light additional equipment to be carried, which is useful for custom experiments.

Training centers and innovation labs in the Caribbean will find the compact size practical for shared spaces. Buyers who need heavier or outdoor-class vehicles should look through the wider AgileX range instead, and buyers who want a different LIMO version can ask us about LIMO or LIMO ROS2 when requesting a quotation.

What is the LIMO PRO used for?

1. Autonomous navigation. Map a space and let the robot plan and follow its own routes.
2. Obstacle avoidance. Combine LiDAR and depth camera data to steer around objects in the way.
3. Visual recognition. Run recognition models on the Orin Nano using the Orbbec Dabai depth camera.
4. Teaching robotics. Give students a real ROS platform for exercises in Python and C++.
5. Simulation to hardware testing. Develop in Gazebo, then confirm behavior on the physical robot.
6. Rapid prototyping. Mount accessories with the supplied hardware and try new ideas quickly.

Pricing and Availability

We do not print prices on this page. Please request a quotation, and tell us the quantity, the intended use and the delivery location. Delivery, customs and support are arranged together with the quotation, so that you receive one clear offer. The LIMO PRO is available on this page.

Frequently Asked Questions

What is included in the box?

The package contains 1 LIMO Pro mobile robot, 1 battery, 1 charger, 4 Mecanum wheels, 2 tracks, and mounting accessories and hardware.

Which sensors does the LIMO PRO carry?

It integrates the EAI T-mini Pro LiDAR and the Orbbec Dabai depth camera, together with an HI226 IMU. The NVIDIA Orin Nano processes their data on board.

How long does the battery last?

The battery capacity is 10000mAh, with a runtime of 2.5 h and a standby time of 4 h.

Which ROS versions are supported?

The robot is compatible with ROS1 Noetic and ROS2 Foxy, and it supports Gazebo. Python and C++ can both be used for development.

How heavy a load can it carry?

The payload is 4 kg, with a robot weight of 4.8 kg and a maximum speed of 1 m/s.

In what temperatures can it operate?

The operating temperature range is -10 °C to +40 °C.

Where can I buy the Agilex LIMO PRO and what does it cost?

You can order it through this page by requesting a quotation. We do not list prices; the offer is prepared for your quantity and delivery location.

Summary

The Agilex LIMO PRO answers a simple question: how much of the real world can a desk-sized robot bring into a classroom or lab? With an NVIDIA Orin Nano, an EAI T-mini Pro LiDAR, an Orbbec Dabai depth camera, ROS and Gazebo support and a choice of Mecanum wheels or tracks, it brings most of it. If this platform fits your project, this page is the starting point.