Agilex LIMO ROS2 (Intel NUC)

Key Features & Specifications

High-Performance Computing

• Processor: Equipped with an Intel NUC i7 Industrial PC, providing extremely powerful computing capabilities for stable multi-sensor data fusion and complex SLAM (Simultaneous Localization and Mapping) algorithms.
• Operating System: Runs ROS 2 Humble on Ubuntu 22.04, offering full access to the latest open-source libraries and frameworks, including Navigation2 for mobile robot navigation and MoveIt2 for advanced robotic arm motion planning.

Precise Sensing and Navigation

• LiDAR: Includes an EAI T-mini Pro LiDAR for 360° environmental scanning to enable high-precision mapping and dynamic obstacle avoidance.
• Depth Camera: Features an Orbbec Dabai depth camera (RGB-D) for accurate distance measurement and enhanced environmental perception.
• Display: Integrated 7-inch touch screen display for intuitive setup and control.
• IMU: Includes an Inertial Measurement Unit for reliable attitude and motion sensing.

Versatile Mobility and Design

• Multi-Modal Steering: The LIMO mobile platform is highly adaptable, supporting four steering modes with interchangeable wheels: Omni Wheel Steering, Tracked Steering, Four-Wheel Differential Steering, and Ackermann Steering.
• Payload and Speed: Supports a 4 kg payload and can achieve a maximum forward speed of 1 m/s.
• Battery: Extended 10000mAh battery provides up to 2.5 hours of continuous operation.
• Durability: Features a robust chassis construction of powder-coated aluminum plate.
• Compact Size: Dimensions are approximately $322\times 220\times 251\text{mm}$, making it suitable for indoor lab environments.

Ideal Applications

The LIMO ROS2 (Intel NUC) is an ideal platform for:

• Robotics Education: Facilitating hands-on learning in ROS 2, mobile robot algorithms, and AI development for students and educators.
• Research & Development (R&D): Serving as a scalable, flexible platform for developing and testing advanced applications like autonomous navigation, multi-robot collaboration (swarm control), object detection, and visual recognition.
• Prototyping: Providing a quick and efficient development tool for proof-of-concept projects in autonomous driving and unmanned ground vehicles (UGVs).

The Agilex LIMO ROS2 (Intel NUC) is fully supported by open-source packages and is compatible with mainstream programming languages like Python and C++, making it the ultimate tool for developers to expand and deploy their robotic applications.