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- (Flagship Performance, Full Surpassed) You can choose from 4 kinds of master controllers (Raspberry Pi5, Jetson Nano B01, RDK X5, Orin Nano 8GB SUPER). The high performance RDK X5 and Orin Nano allows you to smoothly execute visual and road network projects at the same time, delivering smooth operation up to 22-25 fps
- (Two major core technologies to realize independent driving) It innovatively combines the two core technologies of ROS 2-based road net planning technology with high performance GPUs (lane maintenance + road sign recognition). Simulates a close to the real world, allowing for more professional play and hands-on learning close to industrial applications
- AI Large Model Integration for Voice Interaction: The AI large language model has been incorporated deep into the AI model for intelligent voice interaction. Compatible with Flying Spark/OpenRouter. AI large model fuses SLAM sandbox navigation features pre-installed and allows you to experience an instant self-driving experience without the need for a map building (Maps sold separately)
- High-performance hardware construction: Adopts the Mechanum wheel to reproduce a ride close to the real car using road signs and signal recognition, and supports the development of self-dependent driving technology. Equipped with Nuwa-HP60C depth camera and TminiPlus LiDAR/SLAM C1 LiDAR high-torque 520Nm motor High capacity battery increases working time by 170% and high capacity TF card/SSD for multitasking needs
- Abundant configurations and professional learning resources: Includes full-stack specific course for large AI models and detailed robot teaching materials. Yahboom offers professional technical support and assists users to deeply master ROS and AI robot technology from the ground up from large models of development boards to robotic applications
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