Agile-X LIMO ROS2 robot features an Intel NCU i7 processor running ROS2 (Humble) on Ubuntu 22.04, providing an essential platform for autonomous mobile robot research and education.
LIMO’s Four-Wheel Differential Steering Mode makes driving on any surface easy. Whether it’s smooth concrete or sandy roads, it performs well. This flexibility is beneficial for developers researching various applications.
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Agile-X LIMO ROS mobile robot: everything you need for AI navigation
The Agile-X LIMO ROS LIMO mobile robot offers a scalable structure and is fully ROS compatible, ideal for working on applications requiring autonomous navigation. This mobile robot is perfect for students (in robotics engineering, electrical engineering, industrial computing, etc.) and robotics challenges (like the RoboCup).
It consists of an AgileX mobile platform with interchangeable wheels. You can switch from track to 4-wheel omnidirectional, differential driving or Ackerman mode.
Above all, it’s an advanced robot, designed for developing AI and in particular autonomous navigation applications. LIMO is fully open-source programmable. And it benefits from the computing power of the NVIDIA Jetson Nano processor. It’s also compatible with Google Assistant, which opens up various welcome and service robot possibilities.
The LIMO mobile robot can be connected with open-source ROS (1 and 2) and the Gazebo simulator. This gives you access to a long list of free demos and sample programs for developing your artificial intelligence.
LIMO opens up lots of doors in terms of autonomous navigation:
Thanks to its onboard camera and laser radar, and its robust IMU, your LIMO mobile robot will be able to explore, locate, monitor and analyse its environment like a true sentry. Ideal not only for all your security and surveillance applications but also for creating an autonomous UGV that can map all the places it visits.
Using an Intel NCU i7 processor with ROS 2 Humble on Ubuntu 22.04 provides full access to open-source libraries for vision, navigation, and motion, enabling the quick implementation of ROS/ROS 2 functions.
With the EAI T-mini Pro LiDAR and Orbbec Dabai depth camera, the LIMO robot excels in precise mapping, autonomous localization, navigation planning, and dynamic obstacle avoidance. This sensor suite ensures top performance and reliability for complex robotics tasks.
The battery capacity is increased to 10000mAh, which greatly enhances power and operational stability.
LIMO comes with a specially designed simulation table. It’s fun and convenient, and the simulation table can help you quickly simulate and test the developing functions in the most realistic scenario possible.
Supports ROS and Gazebo platforms, compatible with mainstream programming languages like Python and C++. Encourages users to expand or develop robotics applications. presentations, and code samples, simplifying the teaching and learning process.
The Intel NUC i7 simplifies the development and deployment of AMR software using ROS 2. With powerful tools for vision, navigation, and AI, it enhances deep learning and is compatible with Intel hardware.
