一种基于证据的用于高层生物机器人设计的多智能体系统
An Evidence-Grounded Multi-Agent System for High-Level Bio-Robot Design
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中文总结 AI 辅助
该研究提出基于 Qwen3.5-27B 的 micro_biorobot_agent 多智能体系统，用于高层生物机器人设计，在评估中得分领先，来源追踪检查可显著降低错误缺口。
中文摘要 AI 辅助
本文中，生物机器人是一种工程化的活体或生物混合系统，其中活细胞执行一项或多项核心功能，例如传感、信息处理、致动或输出。我们聚焦于细胞功能由遗传电路编程的系统，物理运动为可选功能。设计此类系统需将应用需求转化为传感、逻辑或存储、输出、组装、宿主及 containment（ containment 保留原词）模块，同时为每个选择提供可追溯的部件与证据支撑。我们提出 micro_biorobot_agent，这是一个基于 Qwen3.5-27B 的离线多智能体系统。该系统整合需求分析、模块特定检索、候选组装、冲突检查、局部修复、独立审核与验证，依托包含 23762 条记录的综合库，涵盖生物部件、实测组合、文献支持的关系及致动证据。确定性输出检查可使最终报告与检索到的部件集对齐，纠正错误缺口、无支持的部件提及及来源追踪错误。在两个由作者开发的各含 50 条查询的评估集上，该系统的平均总得分分别为 7.35 和 8.04，在七个被评估系统中排名最高；在场景设计任务上，其得分超出第二名 2.23 分。一项含 50 条查询的配对消融实验显示，来源追踪检查将错误缺口事件从 15 减少至 3，降幅达 80%，并使来源准确率提升 0.75 分。本文报告了基于 Qwen3.5 的 v1 系统，评估的是高层设计报告而非经实验验证的电路。
英文摘要
In this paper, a bio-robot is an engineered living or biohybrid system in which living cells perform one or more core functions, such as sensing, information processing, actuation or output. We focus on systems whose cell-based functions are programmed by genetic circuits; physical movement is optional. Designing such a system requires translating application requirements into sensing, logic or memory, output, assembly, host and containment modules, while grounding each choice in traceable parts and evidence. We present micro_biorobot_agent, an offline multi-agent system built on Qwen3.5-27B. The system combines requirement analysis, module-specific retrieval, candidate assembly, conflict checking, local repair, independent review and validation over an integrated library of 23,762 records covering biological parts, measured combinations, literature-supported relationships and actuation evidence. Deterministic output checks align the final report with the retrieved part set and correct false gaps, unsupported part mentions and source-tracking errors. On two author-developed evaluation sets of 50 queries each, the system obtains mean overall scores of 7.35 and 8.04, the highest among the seven evaluated systems; on Scenario Design it exceeds the runner-up by 2.23 points. A 50-query paired ablation shows that the source-tracking check reduces false-gap incidents from 15 to 3, an 80% reduction, and increases source accuracy by 0.75 points. This paper reports the Qwen3.5-based v1 system and evaluates high-level design reports rather than experimentally validated circuits.
