災害應變：基於人工智慧之群體陸海空及水下機器人

Disaster Response: Artifi cial Intelligence in Swarm Ground, Surface, Aerial and Underwater Robot

在福島核災及汶川地震後，各國政府有關單位意識到災害應變機器人的迫切性。台灣有許多的天然或人為災害，通常無法在第一時間即時派遣相關人員去搜救或探勘。本文提出以陸海空及水下機器人協同應用於災害應變，異構群體機器人到現場去採集環境大數據，再經過雲端人工智慧分析，做出應變之最佳決策，相關任務包括目標之監測、搜索與救援。同時本文針對災害現場之安全，保安和救援應用，進而滿足各種實際災害應變之任務，減少救災人員的傷亡，並解決人力短缺無法做大範圍的搜救，有效的保護國民安全。 After the Fukushima nuclear disaster and the Wenchuan earthquake, the relevant government agencies in various countries realized the urgency of disaster response robots. There are many natural or man-made disasters in Taiwan, and it is usually impossible to dispatch relevant personnel to search and rescue or exploration at the earliest time. This paper proposes that ground, marine, aerial, and underwater robots collaboration in disaster response. Heterogeneous robots collect environmental big data from the scene and then use artifi cial intelligence analysis in the cloud to make the best decision. Related tasks include target monitoring, search and rescue. This paper aims at the safety, security and rescue in disaster response, and thus responding to various actual disasters; reducing the casualties, addressing the shortage of manpower, and large-scale search and rescue.