实验室围绕安全与智能技术开展多方向研究，重点聚焦复杂环境下的风险识别与防控能力提升。在大客流安全领域，致力于人群行为分析与预警机制研究，以保障公共空间的有序运行；在网络舆情方向，探索信息传播规律与智能分析方法，提升舆情监测与引导能力。同时，实验室积极推进大模型智能体研究，构建具备自主决策与协同能力的智能系统，并将其应用于巡检机器人等场景，实现高效、稳定的自动化巡检。在机器人行为安全方面，关注智能体在复杂环境中的可靠性与可控性。此外，还开展民用飞机生产安全相关研究，强化制造过程中的风险管理与质量保障。整体上，实验室致力于融合人工智能与安全工程技术，推动多领域安全保障能力的系统化提升。

    The laboratory conducts multi-faceted research centered on safety and intelligent technologies, with a primary focus on enhancing risk identification and prevention capabilities in complex environments. In the realm of safety for high-density crowds, the lab investigates crowd behavior analysis and early-warning mechanisms to ensure the orderly operation of public spaces. Regarding online public opinion, it explores information dissemination patterns and intelligent analysis methods to improve monitoring and guidance capabilities. Simultaneously, the laboratory actively advances research on large-model-based intelligent agents, developing systems capable of autonomous decision-making and collaboration; these are applied in scenarios such as inspection robotics to achieve efficient and stable automated inspections. Regarding robotic behavioral safety, the lab prioritizes the reliability and controllability of intelligent agents operating in complex environments. Furthermore, it conducts research on civil aircraft production safety, strengthening risk management and quality assurance throughout the manufacturing process. Overall, the laboratory is dedicated to integrating artificial intelligence with safety engineering technologies to drive the systematic enhancement of safety assurance capabilities across multiple fields.