Yahboom for Jetson Orin Nano 8GB Super Ackerman Chassis, ROS2 AI Coding Robot with Large AI Model, SLAM Mapping and Autonomous Driving (Ultimate with Orin Nano 8GB)
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Product details
| Management number | 219486699 | Release Date | 2026/05/03 | List Price | $360.92 | Model Number | 219486699 | ||
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- 【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
- 【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB/Raspberry-Pi5/Jetson Nano B01 4GB/RDK X5, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
- 【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
- 【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
- 【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
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