Core Viewpoint - The establishment of the world's first "Humanoid Robot Intelligence Grading" standard (T/CIE 298-2025) aims to enhance the evaluation framework for humanoid robots, transitioning the industry from a "function-oriented" approach to "intelligent evolution" [1][2][6]. Group 1: Standard Development - The new standard was developed by leading organizations including the Beijing Humanoid Robot Innovation Center and various enterprises and research institutions, addressing the lack of evaluation standards in the humanoid robot industry [1][2]. - The standard introduces a "four-dimensional five-level" evaluation framework, creating a grading system from L1 to L5 for intelligent capabilities [2][3]. Group 2: Evaluation Framework - The evaluation framework consists of four core capability dimensions: Perception and Cognition (P), Decision Learning (D), Execution Performance (E), and Collaboration Interaction (C) [2][3]. - The standard provides 22 primary indicators and over 100 technical clauses, along with a common safety baseline and typical application scenarios, serving as a reference for product design and performance benchmarking [3]. Group 3: Capability Descriptions - Perception and Cognition: Humanoid robots should acquire, process, and understand environmental and self-state information, enabling reasoning and knowledge application [3][4]. - Decision Learning: Robots must utilize methods like large models and reinforcement learning to achieve precise perception, logical reasoning, and dynamic decision-making [4]. - Execution Performance: Robots should support precise control of joint movements and complex task execution, including mobility and dynamic balance [4]. - Collaboration Interaction: Robots must communicate and collaborate safely and efficiently with humans and other intelligent agents [5]. Group 4: Future Implications - The implementation of the grading standard is expected to facilitate the transition from "demonstrative intelligence" to "general intelligence" in humanoid robots, enabling large-scale applications across various sectors such as special operations, logistics, industrial manufacturing, education, and healthcare [6][8]. - The standard aims to provide a unified technical language and evaluation tools for the industry, promoting market order and guiding technological development [6][8].
全球首个《人形机器人智能化分级》标准正式发布
机器人圈·2025-05-23 12:24