索尼 ERS-111 R-CODE 中的行为状态词汇表
A Behavioral State Vocabulary in Sony ERS-111 R-CODE
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中文总结 AI 辅助
研究索尼 ERS-111 AIBO 的 R-CODE 样本行为图,通过语料库级分析比较命名状态,识别反复出现的控制词汇,发现其构建例程的语法,还指出这种基于状态的抽象对构建新行为例程及在受限机器人系统中的作用。
中文摘要 AI 辅助
本文对索尼 ERS-111 AIBO 的 R-CODE 样本分布生成的行为图进行语料库级分析。该研究并非孤立地读取每个脚本,而是比较语料库中的命名状态,以识别构成样本集的反复出现的控制词汇。结果表明,许多表面不同的例程由以初始化、传感、迭代动作、同步和恢复为中心的紧凑实体语法构建。除历史分析外,这种基于状态的抽象形式可用作构建新的封装行为例程的中间表示,尤其在受限的原生机器人系统中。
英文摘要
This paper presents a corpus-level analysis of generated behavior diagrams derived from Sony's R-CODE sample distribution for the ERS-111 AIBO. Rather than reading each script in isolation, the study compares named states across the corpus to identify the recurring control vocabulary that structures the sample set. The resulting aggregate shows that many superficially different routines are built from a compact embodied grammar centered on initialization, sensing, iterative action, synchronization, and recovery. It further shows that this vocabulary supports a graded scale of rising behavioral complexity, from capability activation and startup regularization to monitored locomotion, environmental decision loops, and fuller mode-based control. In addition to historical analysis, the paper argues that this form of state-based abstraction is useful as an intermediate representation for constructing new encapsulated behavior routines, especially on constrained native robotic systems where deterministic control, direct hardware access, and modular behavioral composition remain important.
发表机构
- Sony(索尼)
机构由 AI 辅助整理,请以论文原文为准。