Yahboom AI Embodied Intelligence Robot Dog for Raspberry Pi CM5, 15 Joint Programming Bionic Robot Dog (with RPi CM5)

Features

• The first AI LLM + embodied intelligent robot dogDOGZILLA-Lite is the world's first educational robot dog that integrates multimodal large models + embodied intelligence. Built-in Raspberry Pi module supports multiple AI visual functions such as face detection and object recognition. It is not only a walking robot, but also an AI partner that can understand images, voices, environments, and make autonomous decisions.
• Robot arm expansion & AI vision technologySupports the extension of a 3DOF robotic arm, enabling autonomous object grasping and handling. A pre-programmed GUI system with built-in AI vision/voice programs enables numerous exciting functions such as 3D object recognition, color, face, emotion recognition, and motion detection, providing endless possibilities for creative projects. Note: The robotic arm is limited to grasping the standard EVA cubes/balls.
• Multiple control methods and real-time imagesYou can easily control DOGZILLA-Lite through the XGO APP and PC software for Android and iOS devices. In addition, DOGZILLA-Lite can also transmit real-time images to the application, bringing a first-person perspective control experience. Yahboomrobot can control the movement of the robot dog and support video images, but cannot control the robotic arm.
• Gait planning, free adjustmentDOGZILLA-Lite integrates inverse kinematics algorithms to accurately control the ground contact time, lift time and lift height of each leg. You can easily adjust these parameters to achieve different gaits. Provides detailed inverse kinematics analysis and source code of inverse kinematics functions.
• Why choose DOGZILLA-Lite? It is not just a toy, but a ticket to the future. Students use it to understand AI principles, geeks use it to develop autonomous driving algorithms, and families use it as an interactive technology partner. Yahboom provides AI visual interaction, Open CV, AI LLM open source data code and technical support.