- Four kinematic modes in one platform Switches between differential, Ackermann, tracked, and Mecanum modes, letting researchers and students compare navigation behaviours across drive architectures without maintaining separate robots.
- Intel NUC i7 with ROS 2 Humble pre-loaded Ubuntu 22.04 and ROS 2 Humble are pre-installed on an Intel NUC i7-class compute unit, providing immediate access to the full open-source robotics ecosystem.
- EAI T-mini Pro LiDAR + Orbbec Dabai depth camera Integrated sensor suite for 2D/3D SLAM, obstacle avoidance, and depth-camera perception — sensors commonly used in autonomous mobile robot research.
- Vendor-supported ROS 2 package ecosystem AgileX maintains limo_base, limo_bringup, limo_msgs, and Gazebo simulation packages, reducing driver integration time and supporting simulation-to-real workflows.
- Dedicated simulation table workflow Designed to work with a controlled miniature simulation environment for SLAM and navigation exercises before physical deployment.
- Compact form factor with 10,000 mAh battery At 4.8 kg dead load and 322 × 220 × 251 mm, the robot fits desk-side labs while offering a 10,000 mAh battery for extended sessions.
Description
The AgileX LIMO ROS2 is a compact mobile robot platform purpose-built for ROS 2 development, featuring an Intel NUC i7-class compute unit running Ubuntu 22.04 with ROS 2 Humble pre-installed. Its defining characteristic is a multi-modal chassis that allows swift transitions between four-wheel differential, Ackermann steering, tracked, and Mecanum wheel modes — enabling hands-on comparison of how navigation stacks and controllers behave across different kinematic configurations. An EAI T-mini Pro LiDAR and Orbbec Dabai depth camera deliver the perception inputs needed for SLAM, localization, and obstacle avoidance exercises.
LIMO ROS2 is designed around an integrated simulation-table workflow, allowing teams to prototype autonomy pipelines in Gazebo and then deploy directly to hardware. AgileX maintains vendor-supported ROS 2 packages — including limo_base, limo_bringup, and limo_msgs — reducing driver integration effort for labs and developers. With a 10,000 mAh battery, 4 kg payload capacity, and a footprint of 322 × 220 × 251 mm, the robot fits desktop lab environments while providing a complete ROS 2 development foundation covering topics from odometry and sensor fusion to path planning and depth-camera-driven perception.
Fonctionnalités
Spécifications
| Brand | AgileX |
|---|---|
| Model | LIMO ROS2 |
| Dimensions (L×W×H) | 322 × 220 × 251 mm |
| Dead load (robot weight) | 4.8 kg |
| Payload | 4 kg |
| Max speed (no load) | 1 m/s |
| Minimum turning radius (Ackermann) | 0.4 m |
| Max climbing capacity | 20° |
| Battery | 10,000 mAh / 12 V |
| Onboard compute | Intel NUC i7-class |
| Operating system | Ubuntu 22.04 |
| ROS version | ROS 2 Humble |
| LiDAR | EAI T-mini Pro |
| Depth camera | Orbbec Dabai |
Secteurs
Questions fréquentes
The AgileX LIMO ROS2 is a compact multi-modal mobile robot running Ubuntu 22.04 and ROS 2 Humble on an Intel NUC i7-class compute unit. It supports differential, Ackermann, tracked, and Mecanum drive modes and includes a LiDAR and depth camera for SLAM and navigation research.
By switching between four kinematic configurations on a single platform, teams can compare how navigation stacks, path planners, and controllers behave under different drive models — eliminating the need to maintain multiple robot bases for curriculum or research coverage.
LIMO ROS2 is primarily used in robotics research and higher-education programs covering ROS 2, SLAM, sensor fusion, path planning, and perception. It is well-suited to university labs, technical training bootcamps, and developer onboarding workflows.
Yes, Robotix Market ships worldwide. The LIMO ROS2 is covered by the manufacturer's warranty as provided by AgileX; please contact us at the time of purchase for current warranty terms.
You can request a quote or place an order directly through Robotix Market. Contact our team via the product page or store enquiry form and we will confirm availability, pricing, and shipping to your location.
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