Yahboom ROS2 Smart Car,Raspberry Pi5-8GB Rosmaster M1 Multimodal AI Vision Large Model, SLAM Navigation Programming, Mecanum Wheels Robot (Standard Ver with Pi5-8GB)

Features

• Flagship Performance, Outperforming AllOffers four development board options: Raspberry Pi5, Jetson Nano B01, RDK X5, and Orin Nano 8GB SUPER. The RDK X5 and Orin Nano, with their powerful computing capabilities, can perfectly run visual autonomous driving and road network planning simultaneously, achieving frame rates of up to 22-25fps for a smooth experience.
• Dual-Core Technology, Unlocking Autonomous DrivingInnovatively integrates two core technologies: visual autonomous driving (lane keeping + road sign recognition) based on powerful GPU computing power, and road network planning technology based on ROS 2. It can simulate real-world road driving, offering more professional gameplay and closer resemblance to industrial application scenarios.
• AI Large-Scale Model Fusion, AI Voice InteractionDeeply integrates AI large-scale language models to achieve intelligent voice interaction. Integrates iFlytek Spark/OpenRouter. Pre-installed AI large-scale model fusion SLAM sandbox navigation eliminates the need for map reconstruction; experience autonomous driving right out of the box. (Map sold separately)
• High-Performance Hardware ConfigurationUtilizes an Ackerman steering chassis for road sign and traffic light recognition, closely mimicking real-world driving and assisting users in developing autonomous driving technologies; equipped with a Nuwa-HP60C depth camera + TminiPlus Lidar/SLAM C1 Lidar, and a high-torque 520 Nm motor; a large-capacity battery provides 170% longer battery life, and includes a large-capacity TF card/SSD to meet multitasking needs.
• Rich Configuration and Professional Resources, From Beginner to ExpertIncludes a full-stack AI large-scale model-specific course and detailed robot resources. Yahboom provides professional technical support, helping users easily get started and deeply master ROS and AI robot technologies, from development board large-scale models to robot applications.