很多初学者想要的具身科研平台来了，为具身领域打造，高性价比

Core Viewpoint - Imeta-Y1 is a lightweight, cost-effective robotic arm designed specifically for beginners and researchers in the field of embodied intelligence, enabling low-cost and efficient algorithm validation and project development [2][5]. Group 1: Product Features - The robotic arm offers a complete open-source toolchain and code examples, facilitating a seamless process from data collection to model deployment [3][17]. - It supports dual-language interfaces in Python and C++, allowing users to quickly get started regardless of their programming background [3][18]. - Compatibility with ROS1 and ROS2 is provided, along with URDF models for smooth transitions between simulation and real-world applications [3][19]. - The arm features high-precision motion control, low power consumption, and an open hardware architecture, supporting seamless integration from simulation to real machine [5][6]. Group 2: Technical Specifications - The robotic arm has a weight of 4.2 kg, a rated load of 3 kg, and 6 degrees of freedom, with a working radius of 612.5 mm and a repeat positioning accuracy of ±0.1 mm [8][19]. - It operates at a supply voltage of 24V and communicates via CAN, with external interfaces for power and CAN connections [8][19]. - The arm's joint motion range and maximum speeds are specified, ensuring versatility in various applications [8][19]. Group 3: Development and Support - A comprehensive open-source SDK is provided, including drivers, API interfaces, sample code, and documentation, supporting rapid application development [26][29]. - The product supports multi-modal data fusion, compatible with mainstream frameworks like TensorFlow and PyTorch, enabling end-to-end implementation of intelligent algorithms [29][32]. - The company offers 24-hour quick response for after-sales support, ensuring users receive timely assistance [3][19]. Group 4: Testing and Reliability - Rigorous hardware testing processes, including precision calibration, durability, load performance, and stability verification, ensure the robotic arm's reliability and safety across various application scenarios [35][39].