SKU/Artículo: AMZ-B0FSRRWDTB

youyeetoo

SLAMTEC Aurora S A2M2 Compact AI 3D LiDAR Mapping System, Real-Time 6DOF Localization & Dense Depth, Indoor/Outdoor, ROS1/ROS2 & Python SDK, Plug-and-Play for AGV/AMR/Digital-Twin (Aurora-S)

Model:

Aurora-S

Aurora

Aurora-S

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.95 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Empower Your Robots with 3D Vision and Spatial Intelligence: SLAMTEC Aurora S A2M2The SLAMTEC Aurora S A2M2 is more than just a sensor; it's a complete, all-in-one AI-powered spatial perception solution. By fusing advanced visual AI with inertial navigation technology, it enables your robots to truly see, comprehend, and autonomously navigate complex three-dimensional environments.Core Advantages:Powerful AI-Driven Visual Localization and Mapping Engine: Features proprietary deep learning algorithms that perform simultaneous localization and mapping using visual and inertial data. Delivers centimeter-accurate real-time positioning and enables the creation of large-scale 3D maps exceeding 1,000,000 m², even in challenging conditions with poor lighting or limited textures.Environmental Understanding Beyond Conventional Perception: Provides multi-dimensional environmental data for deeper robotic cognition: High-Precision Dense Depth Maps: Utilizes an end-to-end deep learning approach to generate reliable depth information, even in strong light or on textureless surfaces.AI Object Recognition and Segmentation: Identifies and outlines objects from over 80 indoor and 18 outdoor categories in real-time, providing semantic scene understanding.Six-Degree-of-Freedom (6DoF) Spatial Pose: Delivers complete position and orientation data in 3D space, forming the foundation for precise movement and interaction.Highly Integrated for Rapid Deployment: Combines dual fisheye cameras, an IMU, and an AI computing board into a compact housing. Users can simply connect to power and begin development quickly using the included Aurora Remote UI software, significantly simplifying the initial setup process.A Developer-Focused Software Ecosystem: Offers a comprehensive Aurora Remote SDK with native support for ROS1, ROS2, C++, and Python. This toolkit empowers developers to efficiently build a wide range of robotic applications, from prototype to commercial product.LiDAR Fusion for Enhanced System Robustness: Includes a dedicated expansion port for flexible integration with LiDAR modules (sold separately). Fusing visual and laser data further improves 2D map accuracy and overall system reliability.Ideal Application Scenarios:This system is designed for professionals and researchers in the following fields:Commercial Service Robots (Delivery, Guidance, Cleaning)Industrial Autonomous Mobile Robots (AMRs/AGVs)Digital Twin and 3D Reality ModelingRobotics and Artificial Intelligence Research in Universities and InstitutesPlease Note: A basic understanding of robotics concepts and software (such as ROS) is recommended to fully leverage this product's capabilities.
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S/ 2,825.13

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S/ 5,085.24
44% OFF
S/ 2,825.13

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【All-in-One AI Perception】 Integrates dual fisheye cameras, IMU, and an AI computing board for immediate 3D mapping and spatial perception out of the box. 【Advanced AI Engine】 Enables robust real-time localization and mapping in both indoor and outdoor environments, even with poor lighting or texture. 【Rich Data Output】 Provides 6DOF pose, dense depth maps, object segmentation, and 3D point clouds for advanced robotics applications. 【Seamless Development】 Supports ROS1/ROS2, C++, and Python with a comprehensive SDK, drastically reducing development time. 【LiDAR Ready】 Features an expansion port to integrate a LiDAR (sold separately) for enhanced 2D mapping accuracy and system robustness. 【Ideal for Pros】 Perfect for autonomous mobile robots (AMRs), digital twins, drones, and academic research in robotics and AI. 【Contact us】If you have any questions, please click on “youyeetoo” to ask them or send an e-mail to am2#youyeetoo.com (#>>@).