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Multi-Robot Systems From Swarms to Intelligent Automata - Parker et al (Eds) Part 14

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Tham khảo tài liệu 'multi-robot systems from swarms to intelligent automata - parker et al (eds) part 14', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 268 Derenick et al. To demonstrate the feasibility of this model preliminary experiments were conducted whereby a FSO RF MANET was deployed and FSO RF links established dynamically. Our future work includes the development of a hierarchical vision FSO based link acquisition system LAS and adaptive beam divergence to support mobile operations References Barry J. 1994 . Wireless Infrared Communications. Kluwer Academic Publishers. Chintalapudi K. Dhariwal A. Govindan R. and Sukhatme G. 2004 . Ad-hoc localization using ranging and sectoring. In IEEE INFOCOM. Dissanayake G. Newman P. Durrant-Whyte H. and Csorba M. 2001 . A solution to the simultaneous localization and map building. IEEE Transactions on Robotics andAutonoma-tion 17 3 229-241. Fox D. Burgard W. Kruppa H. and Thrun S. 2000 . A probablistic approach to collaborative multi-robot localization. Autonomous Robots Special Issue on Heterogeneous Multi-Robot Systems 8 3 325-344. Grossglauer M. and Tse D. 2001 . Mobility increases the capacity of ad-hoc wireless networks. In IEEE INFOCOM. Gupta P. and Kumar P. 2000 . The capacity of wireless networks. IEEE Transactions on Information Theory. Nemeroff J. Garcia L. Hampel D. and DiPierro S. 2001 . Application of sensor network communications. In IEEE MILCOM. Willebrand H. and Ghuman B. 2002 . Free Space Optics Enabling Optical Connectivity in Today s Networks. Sams Publishing. Wilson J. 2002 . Ultra-wideband a disruptive rf technology Technical report Intel Research and Development. SWARMING UAVS BEHAVIOR HIERARCHY Kuo-Chi Lin University of Central Florida 3280 Progress Drive Orlando FL 32826 U.S.A klin@pegasus.cc.ucf.edu Abstract This paper uses a behavioral hierarchy approach to reduce the mission solution space and make the mission design easier. A UAV behavioral hierarchy is suggested. A collection of lower level swarming behaviors can be designed under this hierarchy. Mission design can be simplified by picking the right combination of those swarming behaviors.