LIMO Cobot

All-Terrain Mobility: LIMO’s four-wheel differential steering delivers smooth and reliable motion across a wide range of surfaces, from polished concrete to uneven or sandy terrain. This versatility makes it well suited for developers exploring diverse real-world robotics applications.

Mobile Grasping: Equipped with a 6-DoF robotic arm, the LIMO Cobot supports multiple end-effectors, enabling precise and flexible mobile manipulation to address a wide variety of task scenarios.

Autonomous Mapping: LIMO can autonomously sense its surroundings and generate accurate environmental maps, providing reliable spatial data for navigation in complex and dynamic environments.

Intelligent Obstacle Avoidance: With real-time environmental perception, LIMO intelligently detects and avoids obstacles, ensuring safe and efficient operation during autonomous tasks.

Open-Source Ecosystem: The platform supports ROS and Gazebo, and is compatible with mainstream programming languages such as Python and C++. Extensive documentation, tutorials, and sample code enable rapid development and simplify teaching and learning.

Deep Learning & AI Demonstrations: Built-in demos showcase deep learning models, ROS-based mapping, and navigation, illustrating how NVIDIA Jetson compute can be used to run AI workloads and seamlessly integrate perception and autonomy.

3D SLAM

Vision Line Following

YOLO Object Recognition

Target Detection and Tracking Control

Download Spec Sheet