{"title":"Drone Warfare","authors":"R. Churchill","doi":"10.4018/978-1-5225-8365-3.ch020","DOIUrl":"https://doi.org/10.4018/978-1-5225-8365-3.ch020","url":null,"abstract":"The United States is now relying on Reaper and Predator drone strikes as its primary strategy in the continuing War on Terrorism. This paper argues for the rational scrutiny drone warfare has yet to receive. It is argued that drone warfare is immoral as it fails both the jus in bello and the jus ad bellum conditions of Just War theory. Drone warfare cannot be accepted on utilitarian grounds either, as it is very probable that terrorists will acquire drones capable of lethal strikes and deploy them against defenseless civilians. Moreover, by examining the psychological bases for reliance on drone warfare, as well as the message the United States is sending adversaries, we need to be concerned that, rather than reduce the likelihood of terrorists strikes, the U.S. reliance on drones strikes threatens to institutionalize terrorism as the status quo for the foreseeable future.","PeriodicalId":395458,"journal":{"name":"Unmanned Aerial Vehicles","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117317991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chemical Plume Tracing and Mapping via Swarm Robots","authors":"Wei Li, Yu Tian","doi":"10.4018/978-1-4666-9572-6.CH016","DOIUrl":"https://doi.org/10.4018/978-1-4666-9572-6.CH016","url":null,"abstract":"This chapter addresses the key issues of chemical plume mapping and tracing via swarm robots. First, the authors present the models of turbulent odor plumes with both non-buoyant and buoyant features, which can efficiently evaluate strategies for tracing plumes, identifying their sources in two or three-dimensions. Second, the authors use the Monte Carlo technique to optimize moth-inspired plume tracing via swarm robots under formation control, which includes a leader to perform plume tracing maneuvers and non-leaders to follow the leader during plume tracing missions. Third, the authors introduce a variety of robot-based plume tracers, including ground-based robots, autonomous underwater vehicles, or unmanned aerial vehicles. Finally, the authors prospect the further research in this area, e.g., applying swarm robots to detect oil or gas leak, or to investigate subsea chemical pollution and greenhouse gases.","PeriodicalId":395458,"journal":{"name":"Unmanned Aerial Vehicles","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124017528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}