|
|
摘要： 无人系统的自主性研究是无人系统相关领域研究中的关键内容,可变自主性是解决自主性等级透明变化,适应各种态势的有效方法。本文在可变自主性基本原理的基础上,结合可变自主功能需求和现有的可变自主框架,以及军事无人系统的特殊领域需求,给出实现可变自主的系统框架结构,说明了各构成模块之间的关系,并总结了在无人系统可变自主研究领域中未来要解决的关键问题。
中图分类号:
| [1] 魏瑞轩,李学仁.无人机系统及作战使用[M].长沙:国防工业出版社,2009:1-22. [2] SCERRI P,REED N.Designing agents for systems with adjustable autonomy[M].[S.l.]:Linköpings Universitet,2001:1-8. [3] 戴汝为.人-机结合的智能工程系统——处理开放的复杂巨系统的可操作平台[J].模式识别与人工智能,2004,17(3):257-261. [4] SCERRI P,PYNADATH D,TAMBE M.Adjustable autonomy in real-world multi-agent environments[C]//Proceedings of the Fifth International Conferenceon Autonomous Agents.New York:ACM,2001:300-307. [5] 史忠植.智能主体及其应用[M].北京:科学出版社,2001:30-41. [6] 姚莉.多Agent计算组织及其建模方法研究[J].广西师范大学学报:自然科学版,2003,21(1):67-73. [7] DEKOVEN E A M,WOOD S D.Integrating adjustable autonomy inan intelligent control framework[J].Proceedings of SPIE,2005,5986:59860G.1-59860G.12. [8] 李人厚.自主移动机器人导论[M].西安:西安交通大学出版社,2006. [9] LISSEA S A,BEARDA J T,HUBER M H,et al.A deontic implementation of adjustable autonomy for command and control of robotic assets[J].Proceedings of SPIE,2006,6230:62300C.1-62300C.11. [10] RUBIN J,LEEN M,GOLDBERG D,et al.Adaptive levels ofautonomy (ALOA) for UAV supervisory control,ADA437269[R].Fort Belvoir,VA:Defense Technical Information Center,2005. [11] VALERO A,MECELLA M,MATIA F,et al.Adaptativehuman-robot interaction for mobile robots[C]//Proceedings of the 17th IEEE InternationalSymposium on Robot and Human Interactive Communication.New York:IEEE Press,2008:243-248. [12] BRADSHAW J M,JUNG H,KULKARNI S,et al.Kaa:policy-basedexplorations of a richer model for adjustable autonomy[C]//Proceedings of the4th International Joint Conference on Autonomous Agents and Multiagent Systems.New York:ACM,2005:214-221. [13] BRADSHAW J M,JUNG H,KULKARNI S,et al.Towardtrustworthy adjustable autonomy in KAoS[C]//Trusting Agents for Trusting Electronic Societies,LNAI3577.Berlin:Springer,2005:18-42. [14] HARDIN B,GOODRICH M A.On using mixed-initiative control:aperspective for managing large-scale robotic teams[C]//Proceedings of the 4thACM/IEEE International Conference on Human Robot Interaction.New York:ACM,2009:165-172. [15] FREEDY A,SERT O,FREEDY E,et al.Multiagent adjustableautonomy framework (MAAF) for multi-robot,multi-human teams[C]//Proceedings of the 2008 Symposium on Collaborative Technologies and Systems.New York:IEEE Press,2008:498-505. [16] REED N E.A user controlled approach to adjustable autonomy[C]//Proceedings of the 38th Hawaii International Conference on System Sciences.Washington:IEEE Computer Society,2005:1-10. [17] STEINBERG M.Intelligent autonomy for unmanned naval vehicles[J].Proceedings of SPIE,2006,6230:623013.1-623013.12. [18] 蔡自兴,姚莉.人工智能及其在决策系统中的应用[M].长沙:国防科技大学出版社,2006. [19] SCHURR N,MARECKI J,TAMBE M.RIAACT:a robust approach to adjustable autonomy for human-multiagent teams[C]//Proc of 7th Int Conf on Autonomous Agents and Multiagent Systems,Vol 3.Richland SC:Interational Foundation for Autonomous Agents and Maltiagent Systems,2008:1429-1432. [20] CHENG M Y K,COHEN R.A hybrid transfer of control model for adjustable autonomy multiagent systems[C]//Proceedings of the Fourth International Joint Conference on Aatonomous Agents and Multiagent Systems.New York:ACM,2005:1149-1150. [21] VECHT B V D,DIGNUM F,MEYER J J C,et al.A dynamic coordinationmechanismusing adjustable autonomy[C]//Proceedings of the 2007 International Conference on Coordination,Organizations,Institutions,and Norms in Agent Systems Ⅲ,LNAI 4870.Berlin:Springer-Verlag,2008:83-96. [22] CHENG M Y K,COHEN R.Integrating information gathering interaction into transfer of control strategies in adjustable autonomy multiagent systems[C]//Proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence,LNCS 4013.Berlin:Springer,2006:1-12. |
| [1] | 陈嘉睿, 凌琳, 蒋贵荣. 脉冲推力作用下上楼梯双足机器人行走的建模与动力学分析[J]. 广西师范大学学报（自然科学版）, 2022, 40(6): 131-144. |
|
||
|
版权所有 © 广西师范大学学报（自然科学版）编辑部 地址：广西桂林市三里店育才路15号 邮编：541004 电话：0773-5857325 E-mail: gxsdzkb@mailbox.gxnu.edu.cn 本系统由北京玛格泰克科技发展有限公司设计开发 |