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机器人行业字节跳动发布通用机器人模型GR-3点评:字节推出GR-3模型 泛化性显著提升

Core Insights - ByteDance has launched the GR-3 model, which demonstrates strong capabilities in executing complex long tasks and significant improvements in generalization [3] - The company is recommended to focus on related industry chain targets as it continues to iterate on embodied intelligence without a clear commercialization plan [2] Group 1: Product Development - The GR-3 model, based on the VLA architecture, excels in generalizing to new objects and environments, understanding abstract language instructions, and manipulating flexible objects with precision [3] - Compared to the previous GR-2 model, GR-3 shows superior performance in handling new environments and objects, with enhanced accuracy in understanding complex instructions [3] - The model architecture integrates a 40 billion parameter end-to-end model that combines visual-language and action generation modules, improving responsiveness and efficiency [3] Group 2: Hardware Innovations - To leverage the capabilities of the GR-3 model, ByteDance has introduced the ByteMini, a dual-arm mobile robot designed specifically for GR-3 [4] - The ByteMini features 22 degrees of freedom and a unique wrist ball joint design, allowing for human-like wrist flexibility [4] - The robot includes a multi-camera system for comprehensive situational awareness and a whole-body motion control system that ensures smooth trajectory generation [4] Group 3: Performance Metrics - GR-3 significantly outperforms the industry-leading embodied model π0 in terms of task execution success rates across various scenarios [4] - The success rate for operating new objects with GR-3 improves from 60% to over 80% with just 10 human trajectory data points, showcasing its high generalization ability [4]