{"type":"ScholarlyArticle","title":"Real--Time UAV Maneuvering via Automated Planning in Simulations","authors":[{"name":"Miquel Ramírez","slug":"miquel-ramirez","given":"Miquel","family":"Ramírez","affiliation":"School of Computing and Information Systems , University of Melbourne , Australia"},{"name":"Michael Papasimeon","slug":"michael-papasimeon","given":"Michael","family":"Papasimeon","affiliation":"Defence Science and Technology Group , Australia"},{"name":"Lyndon Behnke","slug":"lyndon-behnke","given":"Lyndon","family":"Behnke","affiliation":"Defence Science and Technology Group , Australia"},{"name":"Nir Lipovetzky","slug":"nir-lipovetzky","given":"Nir","family":"Lipovetzky","affiliation":"School of Computing and Information Systems , University of Melbourne , Australia"},{"name":"Tim Miller","slug":"tim-miller","given":"Tim","family":"Miller","affiliation":"School of Computing and Information Systems , University of Melbourne , Australia"},{"name":"Adrian R. Pearce","slug":"adrian-r-pearce","given":"Adrian R.","family":"Pearce","affiliation":"School of Computing and Information Systems , University of Melbourne , Australia"}],"abstract":"The automatic generation of realistic behavior such as tactical intercepts for Unmanned Aerial Vehicles (UAV) in air combat is a challenging problem. State-of-the-art solutions propose hand-crafted algorithms and heuristics whose performance depends heavily on the initial conditions and specific aerodynamic characteristics of the UAVs involved. This demo shows the ability of domain-independent planners, embedded into simulators, to generate on-line, feed-forward, control signals that steer simulated aircraft as best suits the situation.","doi":"10.24963/ijcai.2017/778","url":"https://ijcai.org/proceedings/2017/778","pdf":"https://ijcai.org/proceedings/2017/0778.pdf","markdown":"https://ijcai.org/proceedings/2017/778.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/778","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Demos","track":"Demos","number":778,"pages":{"first":5243,"last":5245},"keywords":["Planning and Scheduling: Real-time Planning","Planning and Scheduling: Distributed/Multi-agent Planning","Multidisciplinary Topics and Applications: Multidisciplinary Topics and Applications","Planning and Scheduling: Temporal and Hybrid planning"],"videos":[],"references":[{"position":1,"raw":"[Byrnes, 2014] Michael W. 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