智源全面开源具身大脑RoboBrain 2.0与大小脑协同框架RoboOS 2.0：刷新10项评测基准

Core Insights - The article discusses the release of RoboBrain 2.0 and RoboOS 2.0, highlighting their advancements in embodied intelligence and multi-agent collaboration capabilities [2][3][30]. Group 1: RoboBrain 2.0 Capabilities - RoboBrain 2.0 overcomes three major capability bottlenecks: spatial understanding, temporal modeling, and long-chain reasoning, significantly enhancing its ability to understand and execute complex embodied tasks [4]. - The model features a modular encoder-decoder architecture that integrates perception, reasoning, and planning, specifically designed for embodied reasoning tasks [9]. - It utilizes a diverse multimodal dataset, including high-resolution images and complex natural language instructions, to empower robots in physical environments [12][18]. Group 2: Training Phases of RoboBrain 2.0 - The training process consists of three phases: foundational spatiotemporal learning, embodied spatiotemporal enhancement, and chain-of-thought reasoning in embodied contexts [15][17][18]. - Each phase progressively builds the model's capabilities, from basic spatial and temporal understanding to complex reasoning and decision-making in dynamic environments [15][18]. Group 3: Performance Benchmarks - RoboBrain 2.0 achieved state-of-the-art (SOTA) results across multiple benchmarks, including BLINK, CV-Bench, and RoboSpatial, demonstrating superior spatial and temporal reasoning abilities [21][22]. - The 7B model scored 83.95 in BLINK and 85.75 in CV-Bench, while the 32B model excelled in various multi-robot planning tasks [22][23]. Group 4: RoboOS 2.0 Framework - RoboOS 2.0 is the first open-source framework for embodied intelligence SaaS, enabling lightweight deployment and seamless integration of robot skills [3][25]. - It features a cloud-based brain model for high-level cognition and a distributed module for executing specific robot skills, enhancing multi-agent collaboration [27]. - The framework has been optimized for performance, achieving a 30% improvement in overall efficiency and reducing average response latency to below 3ms [27][29]. Group 5: Open Source and Community Engagement - Both RoboBrain 2.0 and RoboOS 2.0 have been fully open-sourced, inviting global developers and researchers to contribute to the embodied intelligence ecosystem [30][33]. - The initiative has garnered interest from over 20 robotics companies and top laboratories worldwide, fostering collaboration in the field [33].