Características principais
- Turnkey Robotic Solution: The kit saves significant time on design, manufacturing, and integration. It comes with mechanical, electrical, and software components pre-integrated.
- Powerful Onboard Computing: It features a robust computing unit, often the NVIDIA Jetson Nano (in the standard kit) or the NVIDIA Jetson AGX Xavier (in the Pro version), offering the necessary processing power for complex AI and robotics algorithms.
- Pre-installed Software: The system comes pre-installed with Linux (e.g., Ubuntu 18.04/20.04) and the Robot Operating System (ROS), including necessary hardware drivers and ROS nodes for mapping and navigation.
- Full Sensor Suite: The kit is equipped with a professional suite of sensors, which typically includes:
- High-Precision LiDAR: Such as the EAI-G4 (standard) or a more advanced model like the Velodyne VLP-16/Robosense/Ouster (Pro/Efficient packages) for $360^{\circ}$ scanning and precise environment mapping.
- Vision Sensor: Commonly an Intel RealSense D435 stereo depth camera for visual-based applications and 3D perception.
- Inertial Measurement Unit (IMU): For precise orientation and motion sensing.
- Development Ecosystem: Supports open-source SLAM-based mapping and includes essential development tools like RViz, Gazebo, and NoMachine/VNC for visualization, simulation, and remote access.
- Compatibilidade: Designed to be fully compatible with various Agilex mobile bases (e.g., Scout Mini, Tracer, BUNKER).
In summary, the Agilex R&D Kit provides researchers, educators, and developers with a robust, professional-grade platform to immediately begin testing and deploying their advanced robotics and autonomous navigation algorithms without the initial burden of system integration.
Avaliações
Ainda não existem avaliações.