Elephant Robotics LIMO Cobot

Product Description

Elephant Robotics LIMO Cobot is a multipurpose desktop mobile manipulation platform that combines the 6-axis collaborative arm myCobot 280 M5 with the multi-mode mobile chassis LIMO PRO and the powerful edge computer NVIDIA Orin Nano. This setup combines mobility, precise manipulation, and intelligent environment perception into one compact system.

LIMO Cobot is designed primarily for universities, high schools, research institutions, R&D teams, and training centers that want to practically teach:

• mobile robotics and navigation,
• manipulation and control of a 6-axis cobot,
• working with ROS/ROS2, RViz, Gazebo, Nav2, and SLAM,
• computer vision and AI tasks on the NVIDIA platform.

With complete ROS packages, open APIs, and a rich set of examples, LIMO Cobot is an excellent educational and research platform on which own projects can be quickly built – from autonomous mapping to mobile grasping and advanced trajectory planning algorithms.

Key Features

• Combination of mobile platform and cobot Connecting the LIMO PRO chassis with the myCobot 280 M5 cobot creates a full-fledged mobile manipulator suitable for complex scenarios – mobile grasping, object relocation, service tasks, etc.
• 6-axis collaborative arm myCobot 280 M5
  • working reach approx. 280 mm,
  • nominal payload approx. 250 g,
  • 6 DOF for flexible manipulation, suitable for didactic and light application scenarios.
• Powerful mobile chassis LIMO PRO
  • four hub motors and advanced kinematics,
  • support for multiple movement modes (e.g., Ackermann, 4-wheel differential, Mecanum, crawler mode – depending on configuration),
  • designed for precise autonomous navigation and SLAM in laboratory and classroom environments.
• Rich sensor equipment
  • 2D laser LiDAR for mapping and localization,
  • depth camera for 3D environment perception and computer vision tasks,
  • IMU for pose estimation and stabilization,
  • suitable for experiments with object detection, tracking, and visual guidance.
• Built-in NVIDIA Orin Nano
  • significantly higher computing power for AI and computer vision,
  • smooth running of demanding ROS/ROS2 nodes, planners, neural networks, and sensor fusion.
• ROS / ROS2 and open ecosystem
  • full support for ROS 2 (RViz, Nav2, Gazebo, SLAM toolbox),
  • examples in Python and C++,
  • open interfaces for integration of custom sensors, effectors, and algorithms.
• Suitable for education and competitions
  • prepared courses and teaching materials (ROS, Python, mobile robotics, manipulator control, SLAM, trajectory planning),
  • ideal platform for student projects, robotics competitions, and thesis work.

Typical Use

• laboratory teaching of mobile robotics and cobots at universities and secondary technical schools,
• research projects in the field of autonomous navigation, manipulation, SLAM, multi-sensor fusion,
• test platform for computer vision and AI (object detection, tracking, visual servoing),
• quick prototyping of service and logistics robots for indoor environments,
• demonstration of Industry 4.0 concepts and collaborative robotics.

Technical Parameters (Summary)

Some parameters may vary slightly according to the specific hardware revision and configuration. The values below are based on the official technical data sheets of the LIMO Cobot platform.

Arm myCobot 280 M5

Mobile base LIMO PRO

Computing and Software Environment

Package Content (typically)

• mobile chassis LIMO PRO with integrated sensors,
• 6-axis arm myCobot 280 M5 (including chassis mount),
• on-board computing unit with NVIDIA Orin Nano,
• power and connection cables,
• basic accessories and mounting material,
• access to documentation, ROS/ROS2 packages, and sample projects.

Customer Benefits

• Single platform for a complete robotics course – mobile robot + cobot + AI in one solution.
• Reduction of preparation time for teaching – ready integration of HW, ROS/ROS2 packages, and examples.
• Seamless integration into existing infrastructure – open API and support for standard tools.
• Scalability – option to add additional sensors, effectors, software modules, and custom algorithms.

Recommended Target Groups

• departments of automation, cybernetics, mechatronics, and informatics,
• high schools focusing on industrial automation and IT,
• research laboratories and R&D teams dealing with mobile robotics,
• innovation centers and technology hubs,
• companies testing Industry 4.0 concepts and collaborative robotics on a small scale.

Key Features:

• Compact desktop mobile manipulator combining the myCobot 280 M5 cobot and the LIMO PRO chassis.
• Suitable for teaching and research in mobile robotics, collaborative manipulation, SLAM, and computer vision.
• Integration of powerful NVIDIA Orin Nano for running AI algorithms and demanding ROS/ROS2 nodes.
• Rich sensor equipment – 2D LiDAR, depth camera, IMU – for autonomous navigation and environment perception.
• Full ROS and ROS 2 support, including RViz, Gazebo, Nav2 tools, and simulations.
• 6-axis collaborative arm with a working reach of approx. 280 mm and a payload of approx. 250 g.
• Open ecosystem with available examples, tutorials, and teaching materials for schools and universities.
• Ideal for robotics competitions, prototyping, and Industry 4.0 demonstration projects.