LIMO Open-Source Mobile Robot (ROS compatible)

LIMO mobile robot: everything you need for AI navigation

The 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 for robotics challenges (like the RoboCup).

It consists of an AgileX mobile platform with interchangeable wheels. You can switch from tracked to 4-wheel omni-directional, 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.

4 types of autonomous navigation applications

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 own artificial intelligence.

LIMO opens up lots of doors in terms of autonomous navigation:

• Mapping
• Autonomous navigation
• Obstacle avoidance and path planning
• Simultaneous localisation and mapping (SLAM and V-SLAM)

Thanks to its on-board 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.