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"FOHLSEM5-FOHLBASE-019-0162","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0162","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","162","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L162","b70a9127e47d5f726b3a2203312a859621d1e14f662050b026bd0ecddf371d94","78","-> 语音、文本、图像、深度、力觉、触觉、关节状态、地图","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0162-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0163","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0163","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","163","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L163","99ab8c3101696320beb192d60ffda0e1e978fcc088a90df078b623d5b0b8bc0b","57","-> 感知模型：识别物体、空间、状态、风险","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0163-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0164","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0164","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","164","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L164","634ece62202f35fe6be320c617a8e386143e39cec02534fce3a6620184142926","60","-> 交互模型：理解用户、上下文、权限和意图","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0164-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-019-0166","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0166","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","166","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L166","24d319719f923c15459da36865f4a91d28fe18d9255d6b1187c19d4caeaed7e2","69","-> 任务规划模型：拆解步骤、调用工具、生成行为树","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0166-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0167","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0167","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","167","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L167","3c35cf18caadf15654aaa7202223ec9a529b2875195f98bfae76d4b66b90996b","61","-> 动作策略 / VLA：生成轨迹、动作 token 或策略","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0167-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0168","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0168","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","168","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L168","fd21ea85f2c3d4d73cb0f5e043e8cccbc36da67554e862e69a30a806e95cc125","63","-> 控制系统：运动控制、力控、避障、安全约束","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0168-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0169","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0169","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","169","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L169","5a055938309a66a27118f67ea7c3f34621c1bdb92e679414a981f4d8d278ad33","66","-> 反馈系统：成功、失败、接管、日志、数据回流","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-019-0169-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0172","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0172","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","172","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L172","48fe2ef8a71b566513da32f18eda89655401f3ccdff9f717d4c2580352ab60ef","55","| 层级 | 核心问题 | 代表能力 | 产业判断 |","STRUCTURAL_OR_NAVIGATION","HEADING_TABLE_HEADER_OR_LINK_ONLY_NAVIGATION","STRUCTURAL_OR_NAVIGATION","MARKDOWN_TABLE_HEADER_ONLY_WITHOUT_ROW_LEVEL_RESEARCH_ASSERTION","","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-019-0196","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0196","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","196","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L196","09614aa568ebdd14dd2a36d4d5c5c99ddb690a22260f7644687220dc860105b9","79","| 公开项目 / 资料 | 官方或论文口径 | 对本专题的分析启发 |","STRUCTURAL_OR_NAVIGATION","HEADING_TABLE_HEADER_OR_LINK_ONLY_NAVIGATION","STRUCTURAL_OR_NAVIGATION","MARKDOWN_TABLE_HEADER_ONLY_WITHOUT_ROW_LEVEL_RESEARCH_ASSERTION","","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0201","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0201","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","201","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L201","2f8656f1c7f9100d70d73ae3bd21c0293ecb5d21c3b4e0543e850bc51064745f","511","| [PaLM-E](https://research.google/blog/palm-e-an-embodied-multimodal-language-model/) | Google Research 称 PaLM-E 是 embodied multimodal language model，同时也是 visual-language generalist；其输出主要是文本答案或文本形式的决策序列，执行时还要配合低层 language-to-action policy。 | PaLM-E 适合归入“具身 VLM / 高层规划”，不是完整动作控制模型；它证明视觉语言模型可以迁移到机器人，但低层动作仍需策略或控制器承接。 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-019-0201-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0202","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0202","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","202","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L202","23f30b47e897bcbb48dd6ceb11168f2121d6b91581a8c3a52bb643a6f2a58e13","415","| [PaLM-SayCan](https://sites.research.google/palm-saycan) / [SayCan](https://say-can.github.io/) | PaLM-SayCan 用语言模型拆解自然语言任务，再结合机器人可执行技能完成步骤选择；公开结果披露了技能序列选择和执行成功率。 | 这是“LLM / VLM 做规划 + 已有技能库执行”的早期范式，适合验证任务规划层，不应混同为端到端动作策略。 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-019-0202-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0204","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0204","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","204","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L204","d32193c738b83342223050201bd9c0e408f92d72e265b848b7654b29607006bf","430","| [RoboCat](https://deepmind.google/blog/robocat-a-self-improving-robotic-agent/) | Google DeepMind 称 RoboCat 能跨不同机械臂、多任务适配，并可自生成训练数据；其基础来自可处理语言、图像和动作的多模态模型 Gato。 | RoboCat 代表“多任务 + 多本体 + 自我改进数据闭环”路线，重点不是 VLM/VLA 名称，而是能否用较少示范适配新任务和新机器人。 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-019-0204-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-019-0209","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-019-0209","FOHLBASE-019","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md","b6f5f33d58441d1aba35891343e32fa6b0aa9b2d29b1ec35b15302908cadb860","209","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/机器人模型与模型协同_详细介绍.md#L209","27bee55978844140f8364d17bb46900fb03aa049b2e8970c5aa525008efdcb73","372","| [NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/) | NVIDIA 将 Cosmos 定位为物理 AI 的 world foundation model 平台，说明可作为 VLM 理解场景，也可作为 World Action Models 的主干来加速机器人策略学习。 | 世界模型不是 VLA 本身，但可能成为 VLA / 机器人策略训练、仿真评估和合成数据的基础设施。 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-019-0209-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-022-0073","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-022-0073","FOHLBASE-022","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_市场分析.md","4ae88f5c282b6ea078209e160e9a8a4ad07ceb1201cc059aba7e993edd808fda","73","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_市场分析.md#L73","6e4d40e4ea18fe1df776ff74a6372746a9d9e4bda600958e7fd845280019c553","121","| 协作机器人 | 中高 | 中 | 谐波、精密行星、关节模组 | 绿的、中大、丰立、瑞迪、双环等 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-022-0073-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-023-0133","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-023-0133","FOHLBASE-023","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_详细介绍.md","d7fef3f9d0a3249bac510f5d4c763bb455cf61702565bdadc39bdd63f66e5667","133","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_详细介绍.md#L133","c96c2235ce5cc0540031ea598ab282f33b5a3a92b682ff30c4dec79b8cbe27d7","334","| 精密行星减速器 | 太阳轮、行星轮、内齿圈啮合 | 传动效率高、结构紧凑、成本潜力好 | 单级减速比小，高端低回差、噪声和寿命一致性要求高 | 中高 | 新宝、科峰、纽氏达特、国茂、中大、豪能、精锻、双环等 | 下肢、准直驱和成本路线的重要候选 |","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","SUBSTANTIVE_TABLE_ROW_ASSERTS_PRODUCT_MARKET_TECHNOLOGY_VALUE_STAGE_OR_INTERPRETIVE_BOUNDARY","FOHLSRC-FOHLBASE-023-0133-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-023-0139","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-023-0139","FOHLBASE-023","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_详细介绍.md","d7fef3f9d0a3249bac510f5d4c763bb455cf61702565bdadc39bdd63f66e5667","139","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/减速器_详细介绍.md#L139","cbefc18074adf891e0b084e5a79db99f01ef8ce5b6f59de60f52ee5a88aee4dd","65","| 关节/场景 | 更可能路线 | 选择原因 | 需要验证 |","STRUCTURAL_OR_NAVIGATION","HEADING_TABLE_HEADER_OR_LINK_ONLY_NAVIGATION","STRUCTURAL_OR_NAVIGATION","MARKDOWN_TABLE_HEADER_ONLY_WITHOUT_ROW_LEVEL_RESEARCH_ASSERTION","","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-026-0121","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-026-0121","FOHLBASE-026","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/灵巧手_市场分析.md","b2a6ec76aeefb9d3a3d27abb1a22e53131eaed38279134cdc6d3f1074ab54914","121","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/灵巧手_市场分析.md#L121","95e84b68ba04616e57be12e9baf064c169b5233101391003895068a3d0676ef0","18","年度市场规模","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","STRUCTURAL_OR_NAVIGATION","FORMULA_VARIABLE_CHAIN_OR_COST_COMPONENT_LABEL_ONLY_WITHOUT_STANDALONE_CONCLUSION","","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-026-0143","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-026-0143","FOHLBASE-026","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/灵巧手_市场分析.md","b2a6ec76aeefb9d3a3d27abb1a22e53131eaed38279134cdc6d3f1074ab54914","143","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/灵巧手_市场分析.md#L143","530b430a743d27df6676309365d8fccc9f2c1ab22dc49398d6e114d37b206f5e","75","人形机器人市场通常按单台双手测算，但不能机械套用：","NEGATED_OR_GAP_BOUNDARY","WHOLE_LINE_IS_NEGATED_UNVERIFIED_OR_GAP_BOUNDARY_WITHOUT_POSITIVE_ASSERTION","IN_SCOPE_STRONG_CLAIM","EVIDENCE_GAP_NEGATION_OR_MIXED_POSITIVE_BOUNDARY_AFFECTS_OUTPUT_INTERPRETATION","FOHLSRC-FOHLBASE-026-0143-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-028-0145","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-028-0145","FOHLBASE-028","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md","9e5cacb2cbf3b1c3ed137b00bbcb84e5f1865bcbc66131dbf6636083253e21da","145","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md#L145","f911e8cdef43690e87778697cb4c54dfb0ef0f009572b872f54cea912bb6c6df","33","市场测算容易重复计算：","STRUCTURAL_OR_NAVIGATION","SHORT_SECTION_LEAD_OR_LIST_INTRODUCTION","IN_SCOPE_STRONG_CLAIM","FULL_LINE_CONTAINS_METHOD_MARKET_OR_DIRECTIONAL_ASSERTION_NOT_MERELY_A_LABEL","FOHLSRC-FOHLBASE-028-0145-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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"FOHLSEM5-FOHLBASE-028-0148","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-028-0148","FOHLBASE-028","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md","9e5cacb2cbf3b1c3ed137b00bbcb84e5f1865bcbc66131dbf6636083253e21da","148","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md#L148","906b786355eaa3f7d68ccbb0808857f3af880a21990f1cc3e5156904193502f1","68","- 人形机器人减速器市场和旋转执行器市场有重叠。","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-028-0148-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-028-0149","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-028-0149","FOHLBASE-028","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md","9e5cacb2cbf3b1c3ed137b00bbcb84e5f1865bcbc66131dbf6636083253e21da","149","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md#L149","9413b0a26b621a37f193121f735670d88ff8921c1e6d59af755feb502d0b7323","50","- 丝杠市场和直线执行器市场有重叠。","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-028-0149-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-028-0150","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-028-0150","FOHLBASE-028","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md","9e5cacb2cbf3b1c3ed137b00bbcb84e5f1865bcbc66131dbf6636083253e21da","150","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md#L150","0ea1c8abdbe5d046f4f39efb2905121c044a14cd9a60f528a135d4629baa4f09","62","- 灵巧手微型执行器和本体关节执行器应分开。","DESCRIPTIVE_NON_STRONG","DESCRIPTIVE_DEFINITION_ENUMERATION_OR_NEUTRAL_CONTEXT_WITHOUT_STRONG_ASSERTION","IN_SCOPE_STRONG_CLAIM","NARRATIVE_LINE_ASSERTS_DOMAIN_SCOPE_CHAIN_POSITION_TECHNOLOGY_MARKET_OR_DECISION_RELEVANT_FACT","FOHLSRC-FOHLBASE-028-0150-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
"FOHLSEM5-FOHLBASE-028-0151","ANA-ROBOT-INDUSTRY-001","DESIGN-ANA-ROBOT-FINAL-OUTPUT-HUMAN-LAYER-SEMANTIC-LINE-REPAIR-005","SEMANTIC_FULL_LINE_READJUDICATION_V5","FOHLU4-FOHLBASE-028-0151","FOHLBASE-028","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md","9e5cacb2cbf3b1c3ed137b00bbcb84e5f1865bcbc66131dbf6636083253e21da","151","ana-data/cases/机器人案例/ANA-ROBOT-INDUSTRY-001/outputs/核心文档/子行业/执行器关节模组_市场分析.md#L151","8ef1850a4f5448d1da43967056ca95261b6e30858587275ccaef7591181fe231","59","- 汽车执行器和机器人执行器不能混为一谈。","NEGATED_OR_GAP_BOUNDARY","WHOLE_LINE_IS_NEGATED_UNVERIFIED_OR_GAP_BOUNDARY_WITHOUT_POSITIVE_ASSERTION","IN_SCOPE_STRONG_CLAIM","EVIDENCE_GAP_NEGATION_OR_MIXED_POSITIVE_BOUNDARY_AFFECTS_OUTPUT_INTERPRETATION","FOHLSRC-FOHLBASE-028-0151-M","case_analysis.analyst.cai","2026-07-25 23:14:31+08:00"
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