Robot behavior and service-based motion behavior structure design in formation control

Jiqiren/Robot

Volumn 34, Issue 1, 2012, Pages 120-128

  Yang, Fan ^a,b   Liu, Shirong ^a,b   Dong, Deguo ^a,b  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

Formation control; Multi robot; Robot behavior; Service oriented architecture (SOA)

Indexed keywords

COMPUTER SOFTWARE REUSABILITY; INDUSTRIAL ROBOTS; INFORMATION SERVICES; MACHINE DESIGN; MULTIPURPOSE ROBOTS; REUSABILITY; TARGET TRACKING;

FORMATION CONTROL; MOTION BEHAVIOR; MULTI-ROBOT FORMATION; MULTIROBOTS; ROBOT BEHAVIOR; SELECTION CRITERIA; SERVICE-ORIENTATED ARCHITECTURE; STRUCTURE DESIGN;

SERVICE ORIENTED ARCHITECTURE (SOA);

EID: 84863151530     PISSN: 10020446     EISSN: None     Source Type: Journal    
DOI: 10.3724/SPJ.1218.2012.00120     Document Type: Article

References (28)

1. Desai J P, Ostrowski J, Kumar V. Controlling formations of multiple mobile robots[C]//IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 1998: 2864-2869.
2. Balch T, Arkin R C. Behavior-based formation control for multirobot teams[J]. IEEE Transactions on Robotics and Automation, 1998, 14(6): 926-939.
3. Desai J P. Modeling multiple teams of mobile robots: A graph theoretic approach[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2001: 381-386.
4. Ren W. Consensus seeking, formation keeping, and trajectory tracking in multiple vehicle cooperative control[D]. Utah, USA: Brigham Young University, 2004.
5. Ge S S, Fua C H. Queues and artificial potential trenches for multirobot formations[J]. IEEE Transactions on Robotics, 2005, 21(4): 646-656.
6. Wang Y Y, Chen Q W, Hu W L. A survey on robot behavior selection mechanism[J]. Robot, 2009, 31(5): 472-480.
7. Brooks R. A hardware retargetable distributed layered architecture for mobile robot control[C]//IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 1987: 106-110.
8. Murphy R R. An introduction to AI robotics[M]. Cambridge, MA, USA: MIT Press, 2000.
9. Chen C, Li H X, Dong D. Hybrid control for robot navigation - A hierarchical Q-learning algorithm[J]. IEEE Robotics and Automation Magazine, 2008, 15(2): 37-47.
10. Emery R, Balch T. Behavior-based control of a non-holonomic robot in pushing tasks[C]//IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 2001: 2381-2388.
11. Zhang T, Ueno H. Knowledge model-based heterogeneous multi-robot system implemented by a software platform[J]. Knowledge-Based Systems, 2007, 20(3): 310-319.
12. Mataric M J. Interaction and intelligent behavior[D]. Massachusetts, USA: MIT, 1994.
13. Naffin D J, Sukhatme G S. Negotiated formations[C]//Proceedings of the Eighth International Conference on Intelligent Autonomous Systems. 2004: 181-190.
14. Weitzenfeld A, Vallesa A, Flores H. A biologically-inspired wolf pack multiple robot hunting model[C]//3rd IEEE Latin American Robotics Symposium. Piscataway, NJ, USA: IEEE, 2006: 120-127.
15. Yang J D, Hong B Y, Piao S H. The algorithm of obstacle avoidance based on fuzzy behavior fusion for mobile robot[J]. Journal of Huazhong University of Science and Technology: Natural Science Edition, 2008, 36(Sup. 1): 310-313, 320.
16. Zhang Z Y, Zhang R B, Liu X. Hybrid formation control of multi-robot[J]. Journal of Beijing University of Posts and Telecommunications, 2008, 31(6): 38-41.
17. Yang Y M, Tian Y T, Tao J, et al. Swarm robots aggregation formation control based on social potential fields[J]. Journal of System Simulation, 2009, 21(4): 1106-1110.
18. Parker L E. ALLIANCE: An architecture for fault tolerant, cooperative control of heterogeneous mobile robots[C]//IEEE/RSJ/GI International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 1994: 776-783.
19. Parker L E. Task-oriented multi-robot learning in behaviorbased systems[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 1996: 1478-1487.
20. Arkin R C. Motor schema-based mobile robot navigation[J]. International Journal of Robotics Research, 1989, 8(4): 92-112.
21. Maes P. How to do the right thing[J]. Connection Science, 1989, 1(3): 291-323.
22. Rosenblatt J K. DAMN: A distributed architecture for mobile navigation[J]. Journal of Experimental and Theoretical Artificial Intelligence, 1997, 9(2/3): 339-360.
23. Carreras M, Batlle J, Ridao P. Hybrid coordination of reinforcement learning-based behaviors for AUV control[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2001: 1410-1415.
24. Wang X C, Zhang R B, Gu G C. Research on dynamic team formation of multi-robots reinforcement learning[J]. Journal of Computer Research and Development, 2003, 40(10): 1444-1450.
25. Thrun S, Burgard W, Fox D. Probabilistic robotics (Intelligence robotics and autonomous agents)[M]. Cambridge, MA, USA: MIT Press, 2005.
26. Ray A K, Benavidez P, Behera L, et al. Decentralized motion coordination for a formation of rovers[J]. IEEE Systems Journal, 2009, 3(3): 369-381.
27. Zhang H D, Liu S R, Yu J S. Affective cognitive learning and decision making and application in behavior coordination for mobile robots[J]. Journal of East China University of Science and Technology: Natural Science Edition, 2008, 24(3): 399-404.
28. Microsoft. Microsoft robotics[EB/OL]. [2011-05-27]. http://www.microsoft.com/robotics/.