Artículo: AMZ-B0DRJK3JW3

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ROS2 Robot Dog for RaspberryPi ChatGPT Large AI Models Embodied Intelligence Programmable Robotic Dog Lidar SLAM Mapping AI Vision Voice Scene Understanding Quadruped Bionic Robot Kit, with RPi 5 8GB

Edition:

RPi 5 8GB

Detalles del producto
Disponibilidad
En stock
Peso con empaque
0.98 kg
Devolución
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • PuppyPi Robot Dog for Raspberry Pi, ROS Open Source TOF Lidar AI Vision Quadruped Bionic Smart Robot Kit OpenCV Linux Python Programmable Face Color Recognition Navigation, with RPi 5 8GB
$1.736,94
31% OFF
$1.197,89

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The First Large AI Model Integration & Embodied Intelligent Robot Dog. PuppyPi is the world's first educational robot dog that integrates multimodal large AI models(ChatGPT) and embodies intelligent capabilities. With AI vision, voice, and Lidar, it understands scenes, voice, and surroundings, excelling in perception, reasoning, and action for a more natural, flexible interaction. Raspberry Pi Powered & ROS1/ROS2. PuppyPi is a high-performance AI vision robot dog designed for AI education. It is equipped with the Raspberry Pi 5 and fully supports ROS1 and ROS2 environments. With Python programming, PuppyPi offers efficient AI computation and a wide range of robotic applications. We provide access to all source code and detailed learning tutorials to help you create your AI robot dog! AI Vision Recognition & Tracking. PuppyPi features a high-definition camera that enables a variety of AI vision capabilities, including color recognition, target tracking, face detection, ball kicking, line following, and MediaPipe gesture control. AI Voice Command & Understanding. Equipped with ChatGPT large language models, PuppyPi accurately understands voice commands, analyzes visual scenes in its field of view, and carries out appropriate actions—enabling smooth and responsive voice interaction. High-Torque Smart Servos & Inverse Kinematics. PuppyPi is equipped with 8 high-torque stainless steel gear servos, offering faster response times and stable output. The robot's legs use a link structure design combined with inverse kinematics algorithms to enable coordinated multi-joint movement and precise motion control.