字节发布全新 VLA 模型，配套机器人化身家务小能手

Core Insights - ByteDance's Seed team has launched a new VLA model, GR-3, which supports high generalization, long-range tasks, and flexible object manipulation with dual-arm operations [2][4] - The GR-3 model is designed to understand abstract language instructions and can efficiently adapt to new tasks with minimal human data, contrasting with previous models that required extensive training [2][7] - The accompanying robot, ByteMini, is a versatile dual-arm mobile robot specifically designed to work with the GR-3 model, featuring 22 degrees of freedom and advanced sensory capabilities [4][5] Model Features - GR-3 is characterized by its ability to perform complex tasks with high robustness and success rates, effectively following step-by-step human instructions [4][5] - The model utilizes a unique training method that combines data from remote-operated robots, human VR trajectory data, and publicly available visual-language data, enhancing its learning capabilities [7] - GR-3's architecture includes a 4 billion parameter end-to-end model that integrates visual-language and action generation modules [7] Performance Highlights - In tasks such as table organization, GR-3 demonstrates high success rates and can accurately interpret and respond to complex instructions, even when faced with invalid commands [4][5] - The model excels in collaborative dual-arm operations, effectively manipulating deformable objects and recognizing various clothing arrangements [5] - GR-3's generalization ability allows it to handle previously unseen objects and comprehend abstract concepts during tasks, showcasing its adaptability [5][7] Future Plans - The Seed team plans to expand the model's scale and training data while incorporating reinforcement learning methods to further enhance generalization capabilities [7] - Generalization is identified as a key metric for evaluating VLA models, crucial for enabling robots to adapt quickly to dynamic real-world scenarios [7]