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从扭秧歌到跑半马:机器人离「iPhone时刻」还有多远?
机器之心·2025-06-17 04:50

Core Insights - The article discusses the advancements in embodied intelligence, highlighting the transition from imagination to reality in robotics, and raises critical questions about technological bottlenecks, practical applications, and user needs in the industry [2][3]. Group 1: Technological Developments - The focus is on transforming innovative technologies into commercially viable products, with an emphasis on shortening exploration cycles and reducing costs in the embodied intelligence sector [3]. - Major companies like NVIDIA, Qualcomm, and Intel are competing in the development of computing platforms for embodied intelligence robots, with NVIDIA's Jetson Thor leading the charge [3][4]. - The RDK S100, developed by Diguo Robotics, has achieved significant traction with over 20 top-tier clients and 50 partners engaged in evaluations, positioning itself as a strong alternative to NVIDIA [4]. Group 2: Architectural Innovations - The article introduces the concept of a "dual-brain" architecture, where the "big brain" handles perception and decision-making, while the "small brain" manages motion control, enhancing the robot's capabilities [5][8]. - The RDK S100 features a unique CPU+BPU+MCU architecture that integrates computation and control, enabling a closed-loop system for embodied intelligence robots [9][12]. - The RDK S100 is designed to meet the computational needs of various applications, with a target performance of around 100 TOPS, suitable for scenarios like quadrupedal robots and logistics vehicles [13][14]. Group 3: Development Ecosystem - Diguo Robotics aims to support developers by providing a comprehensive infrastructure that accelerates the transition from development to deployment, including over 110 models in its ModelZoo algorithm repository [19][20]. - The company has established a collaborative ecosystem with over 200 startups through its Gravity Program, offering resources from hardware discounts to software support [28]. - Successful implementations of the RDK S100 in various robotic applications demonstrate its potential for scalable deployment in sectors such as commercial cleaning, smart home, industrial manufacturing, and logistics [25][26].