TRIFFID用无人机与机器人协同提升救援效率，降低人员风险。
TRIFFID: Autonomous Robotic Aid For Increasing First Responders Efficiency
- 融合无人机、地面机器人与AI，实现自主导航与环境感知。
- 支持火灾、洪水、地震后搜救，提升响应速度与任务执行精度。
- 适合应急救援团队使用，尤其在高危复杂环境中
自然灾害事件的复杂性日益增加，亟需创新技术助力第一响应者。本文提出TRIFFID系统，一个集成无人地面与空中车辆及先进人工智能功能的综合性技术框架，用于提升野火、城市洪涝及地震后搜救等场景下的应急响应能力。该系统结合前沿的自主导航、语义感知与人机交互技术，包含混合式机器人平台、中央地面站、定制通信基础设施及手机应用。研究展示了深度神经网络、知识图谱与多模态信息融合如何使机器人自主导航并分析灾情环境，减少人员风险，加速响应时间。系统增强应急团队的使命规划、安全监控与自适应任务执行能力，确保在复杂危险情境下实时态势感知与操作支持，实现快速精准的信息采集与协同行动。
原文摘要 · Abstract (English)
The increasing complexity of natural disaster incidents demands innovative technological solutions to support first responders in their efforts. This paper introduces the TRIFFID system, a comprehensive technical framework that integrates unmanned ground and aerial vehicles with advanced artificial intelligence functionalities to enhance disaster response capabilities across wildfires, urban floods, and post-earthquake search and rescue missions. By leveraging state-of-the-art autonomous navigation, semantic perception, and human-robot interaction technologies, TRIFFID provides a sophisticated system composed of the following key components: hybrid robotic platform, centralized ground station, custom communication infrastructure, and smartphone application. The defined research and development activities demonstrate how deep neural networks, knowledge graphs, and multimodal information fusion can enable robots to autonomously navigate and analyze disaster environments, reducing personnel risks and accelerating response times. The proposed system enhances emergency response teams by providing advanced mission planning, safety monitoring, and adaptive task execution capabilities. Moreover, it ensures real-time situational awareness and operational support in complex and risky situations, facilitating rapid and precise information collection and coordinated actions.
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