Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
Cancel
×
×
Home
  • Home
Article
  • Cited by 45
  • Cited by
    Crossref Citations
    Crossref logo
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.
    Hasan, Eman Al-Wahedi, Khaled Jumah, Belal Dawoud, Diana W. and Dias, Jorge 2018. ROBOT 2017: Third Iberian Robotics Conference. Vol. 693, Issue. , p. 323.
    Wang, Qiuzhen Mao, Xinjun Yang, Shuo Chen, Yin and Liu, Xinwang 2018. Grouping-based adaptive spatial formation of swarm robots in a dynamic environment. International Journal of Advanced Robotic Systems, Vol. 15, Issue. 3, p. 172988141878235.
    Sakurama, Kazunori Azuma, Sun-ichi and Sugie, Toshiharu 2018. Emerging Applications of Control and Systems Theory. p. 313.
    Tuzel, Ovunc Marcon dos Santos, Gilberto Fleming, Chloë and Adams, Julie A. 2018. Swarm Intelligence. Vol. 11172, Issue. , p. 385.
    Kim, Justin Y. Kashino, Zendai Colaco, Tyler Nejat, Goldie and Benhabib, Beno 2018. Design and implementation of a millirobot for swarm studies – mROBerTO. Robotica, Vol. 36, Issue. 11, p. 1591.
    Salah, Khalid Chen, XiaoQi Neshatian, Kourosh and Pretty, Chris 2018. A hybrid control multi-agent cooperative system for autonomous bin transport during apple harvest. p. 644.
    Sakurama, Kazunori Yasuki, Hirosuke and Nishida, Sin-ichiro 2018. Multiple source seeking via distributed sample-variance control of swarm robots. IMA Journal of Mathematical Control and Information, Vol. 35, Issue. 4, p. 1263.
    Radhakrishna Prabhu, Shanker G. Seals, Richard C. Kyberd, Peter J. and Wetherall, Jodie C. 2018. A survey on evolutionary-aided design in robotics. Robotica, Vol. 36, Issue. 12, p. 1804.
    Liu, Yuanchang and Bucknall, Richard 2018. A survey of formation control and motion planning of multiple unmanned vehicles. Robotica, Vol. 36, Issue. 07, p. 1019.
    Silic, Matthew B. Song, Zhuoyuan and Mohseni, Kamran 2018. Anisotropic Flocking Control of Distributed Multi-Agent Systems using Fluid Abstraction.
    Güzel, Mehmet Serdar Ajabshir, Vahid Babaei Nattharith, Panus Gezer, Emir Cem and Can, Serhat 2018. A Novel Framework for Multi-Agent Systems Using a Decentralized Strategy. Robotica, p. 1.
    Jones, Andrew and Straub, Jeremy 2017. Concepts for 3D Printing-Based Self-Replicating Robot Command and Coordination Techniques. Machines, Vol. 5, Issue. 2, p. 12.
    Akram, Raja Naeem Markantonakis, Konstantinos Mayes, Keith Habachi, Oussama Sauveron, Damien Steyven, Andreas and Chaumette, Serge 2017. Security, privacy and safety evaluation of dynamic and static fleets of drones. p. 1.
    Jahanshahi, Mohammad R. Shen, Wei-Men Mondal, Tarutal Ghosh Abdelbarr, Mohamed Masri, Sami F. and Qidwai, Uvais A. 2017. Reconfigurable swarm robots for structural health monitoring: a brief review. International Journal of Intelligent Robotics and Applications, Vol. 1, Issue. 3, p. 287.
    Song, Zhuoyuan Lipinski, Doug and Mohseni, Kamran 2017. Multi-vehicle cooperation and nearly fuel-optimal flock guidance in strong background flows. Ocean Engineering, Vol. 141, Issue. , p. 388.
    Soriano Marcolino, Leandro Tavares dos Passos, Yuri Fonseca de Souza, Álvaro Antônio dos Santos Rodrigues, Andersoney and Chaimowicz, Luiz 2017. Avoiding target congestion on the navigation of robotic swarms. Autonomous Robots, Vol. 41, Issue. 6, p. 1297.
    Palmieri, Nunzia Yang, Xin-She De Rango, Floriano and Marano, Salvatore 2017. Comparison of bio-inspired algorithms applied to the coordination of mobile robots considering the energy consumption. Neural Computing and Applications,
    Gundupalli, Sathish Paulraj Hait, Subrata and Thakur, Atul 2017. A review on automated sorting of source-separated municipal solid waste for recycling. Waste Management, Vol. 60, Issue. , p. 56.
    Sakurama, Kazunori Yasuki, Hirosuke and Nishida, Sin-ichiro 2016. Multiple Extrema Seeking by Swarm Robots Based on Distributed Optimization. Transactions of the Institute of Systems, Control and Information Engineers, Vol. 29, Issue. 4, p. 155.
    Eaton, Christopher Chong, Edwin and Maciejewski, Anthony 2016. Multiple-Scenario Unmanned Aerial System Control: A Systems Engineering Approach and Review of Existing Control Methods. Aerospace, Vol. 3, Issue. 1, p. 1.
    Download full list
    ×
  • Access

Swarm robotics reviewed

  • Jan Carlo Barca (a1) and Y. Ahmet Sekercioglu (a1)
Summary

We present a review of recent activities in swarm robotic research, and analyse existing literature in the field to determine how to get closer to a practical swarm robotic system for real world applications. We begin with a discussion of the importance of swarm robotics by illustrating the wide applicability of robot swarms in various tasks. Then a brief overview of various robotic devices that can be incorporated into swarm robotic systems is presented. We identify and describe the challenges that should be resolved when designing swarm robotic systems for real world applications. Finally, we provide a summary of a series of issues that should be addressed to overcome these challenges, and propose directions for future swarm robotic research based on our extensive analysis of the reviewed literature.

    •
      • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Swarm robotics reviewed
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Swarm robotics reviewed
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Swarm robotics reviewed
      Available formats
      ×
Copyright
COPYRIGHT: © Cambridge University Press 2012
Corresponding author
*Corresponding author. E-mail: Jan_carlobarca@hotmail.com
References
Hide All
1.Sahin, E., Swarm Robotics: From Sources of Inspiration to Domains of Application, Lecture Notes in Computer Science 3342 (Springer-Verlag, New York, 2005) pp. 10–20.
2.Kennedy, J. and Eberhart, C. (eds.), Swarm Intelligence. The Morgan Kaufann Series in Evolutionary Computation (Fogel, D., ed.) (Morgan Kaufman, San Fransisco, 2001) 512 pp.
3.Bonabeau, E., Dorigo, M. and Theraulz, G., Swarm Intelligence (Oxford University Press, New York, 1999).
4.Mohan, Y. and Ponnambalam, S., “An Extensive Review of Research in Swarm Robotics,” Proceedings of the World Congress on Nature & Biologically Inspired Computing, Coimbatore, India (2009).
5.Beni, G. and Wang, J., “Swarm Intelligence,” Proceedings of the Seventh Annual Meeting of Swarm Intelligence, Tokyo, Japan (1989).
6.Dorf, R., Concise International Encyclopedia of Robotics: Applications and Automation (Wiley-Interscience, New York, 1990).
7.Holland, O. and Walter, G., “The Pioneer of Real Artificial Life,” Proceedings of the International Workshop on Artificial Life (MIT Press, Cambridge, Massachusetts, 1997).
8.Ducatelle, F.et al., “Mobile Stigmergic Markers for Navigation in a Heterogeneous Robotic Swarm,” In: Proceedings of the 7th International Conference on Swarm Intelligence, Brussels, Belgium, LNCS 6234 (Springer, Berlin, Germany, 2010) pp. 456–463.
9.Pinciroli, C.et al., “Self-Organised Recruitment in a Heteregeneous Swarm,” Proceedings of 14th International Conference on Advanced Robotics, Munich, Germany (2009).
10.Hauert, S., Zufferey, J. and Floreano, D., “Evolved swarming without positioning information: An application in aerial communication relay,” Auton. Robots 26 (1), 21–32 (2008).
11.Mayet, R.et al., “Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robots,” In: Proceedings of the 7th International Conference on Swarm Intelligence, Brussels, Belgium, LNCS 6234 (Springer, Berlin, Germany, 2010) pp. 84–94.
12.Pini, G.et al., “Task Partitioning in Swarms of Robots: Reducing Performance Losses due to Interference at Shared Resources in Informatics in Control Automation and Robotics,” In: Proceedings of the Informatics in Control Automation and Robotics, LNEE 85 (Springer-Verlag, Berlin, Germany, 2011) pp. 217–228.
13.Fukuda, T. and Nakagawa, S., “A Dynamically Reconfigurable Robotic System (Concept of a System and Optimal Configurations),” In: Proceedings of the International Conference on Industrial Electronics, Control, and Instrumentation, Cambridge, Massachusetts (1987) pp. 588–595.
14.Trianni, V.et al., “From Solitary to Collective Behaviours: Decision Making and Cooperation,” In: Proceedings of the 9th European Conference on Artificial Life (Springer-Verlag, Berlin, Germany, 2007).
15.Yildiz, Ö., Gokal, R. and Yilmaz, A., “Underwater robot swarms and their applications,” Int. J. Technol. Sci. 1 (3), 37–50 (2011).
16.Joordens, M. and Jamshidi, M., “Consensus control for a system of underwater swarm robots,” IEEE Syst. J. 4 (1), 65–73 (2010).
17.Mills, K., “A brief survey of self-organization in wireless sensor networks,” Wirel. Commun. Mob. Comput. 7, 823–834 (2007).
18.Trianni, V. and Nolfi, S., “Self-Organising Sync in a Robotic Swarm,” In: Proceedings of the First International Workshop on Non-Linear Dynamics and Synchronization (Shaker Verlag, Aachen, Germany, 2008).
19.Reynolds, C., “Flocks, herds and schools: A distributed behavioral model,” Comput. Graph. 21 (4), 25–34 (1987).
20.Martinez, S., Cortes, J. and Bullo, F., “Motion coordination with distributed information,” IEEE Control Syst. Mag. 27 (4), 75–88 (2007).
21.Anderson, B., Yu, C. and Hendrickx, J., “Rigid graph control architectures for autonomous formations,” IEEE Control Syst. Mag. 28 (6), 48–63 (2008).
22.Lafferriere, G.et al., “Decentralized control of vehicle formations,” Syst. Control Lett. 54 (9), 899–910 (2005).
23.Camazine, S.et al., Self-Organisation in Biological Systems (Princeton University Press, Princeton, NJ, 2001).
24.Bassler, B., “How bacteria talk to each other: Regulation of gene expression by quorum sensing,” Curr. Opin. Microbiol. 2 (6), 582–587 (1999).
25.Ben-Jacob, E., “Bacterial self-organization: Co-enhancement of complexification and adaptability in a dynamic environment,” Phil. Trans. R. Soc. Lond. A 361, 1283–1312 (2003).
26.Pugh, J. and Martinoli, A., “Distributed Adaptation in Multi-Robot Search using Particle Swarm Optimization,” Proceedings of the 10th International Conference on the Simulation of Adaptive Behaviour, Osaka, Japan (2008).
27.Mamei, M., Vasari, M. and Zambonelli, F., “Experiments of morphogenesis in swarms of simple mobile robots,” Appl. Artif. Intell. 18 (9–10), 903–919 (2004).
28.Hinchey, G., Sterritt, R. and Rouff, C., “Swarms and swarm intelligence,” Computer 40 (4), 111–113 (2007).
29.Adams, B.et al., “Humanoid robots: A new kind of tool,” IEEE Intell. Syst. Control lett. 15 (4), 25–31 (2000).
30.Hart, D., “Reducing Swarming Theory to Practice for UAV Control,” Proceedings of the IEEE Aerospace Conference, Big Sky, Montana (2004).
31.Vincent, P. and Rubin, I., “A Framework and Analysis for Cooperative Search Using UAV Swarms,” In: Proceedings of the ACM Symposium on Applied Computing, Nicosia, Cyprus (2004) 79–86.
32.Edwards, S., Swarming on the Battlefield (Rand, Santa Monica, California, 2000) 88 pp.
33.Cortes, J.et al., “Coverage control for mobile sensing networks,” IEEE Trans. Robot. Autom. 20 (2), 243–255 (2004).
34.Lerman, K., Martinoli, A. and Galstyan, A., A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems, LNCS 3342 (Springer-Verlag, New York, 2005) pp. 143–152.
35.Cao, Y., Fukunaga, S. and Kahng, A., “Cooperative mobile robotics: Antecedents and directions,” Auton. Robots 4 (1), 7–27 (1997).
36.Barca, J. C., Rumantir, G. and Li, R., “A Concept for Optimizing Behavioural Effectiveness & Efficiency,” In: Intelligent Engineering Systems and Computational Cybernetics (Machado, T., Patkai, B. and Rudas, J., eds.) (Springer-Verlag, Berlin, Germany 2008) pp. 449–458.
37.Ma, M. and Yang, Y., “Adaptive triangular deployment algorithm for unattended mobile sensor networks,” IEEE Trans. Comput. 56 (7), 946–958 (2007).
38.Parker, L., “Designing Control Laws for Cooperative Agent Teams,” Proceedings of the IEEE International Conference on Robotics and Automation, Hidden Valley, Pennsylvania (1993).
39.Lumelsky, V. and Harinarayan, K., “Decentralized Motion Planning for Multiple Mobile Robots: The Cocktail Party Model,” Journal of Autonomous Robots. 4 (1), 121–135 (1997).
40.Gu, Y.et al., “Data harvesting with mobile elements in wireless sensor networks,” Comput. Netw. 50 (17), 3449–3465 (2006).
41.Li, X.et al., Localized Self-Deployment of Mobile Sensors for Optimal Focused-Coverage Formation (Carleton University, Ottawa, Canada, 2008) pp. 1–18.
42.Cortés, J., Martínez, S. and Bullo, F., “Spatially-distributed coverage optimization and control with limited-range interactions,” ESAIM, Control Optim. Calc. Var. 11 (4), 691–719 (2005).
43.Cortés, J. and Bullo, F., “Coordination and geometric optimization via distributed dynamical systems,” SIAM J. Control Optim. 44 (5), 1543–1574 (2005).
44.Howard, A., Matarić, M. and Sukhatme, G., “Mobile Sensor Network Deployment Using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem,” Proceedings of the 6th International Symposium on Distributed Autonomous Robotics Systems, Fukuoka, Japan (2002).
45.Penders, J.et al., “A Robot swarm assisting a human fire-fighter,” Adv. Robot. 25 (1–2), 93–117 (2011).
46.Colorado, J., Barrientos, A., Rossi, C. and del Cerro, J., “Follow-the-Leader Formation Marching Through a Scalable O(log2n) Parallel Architecture,” Proceedings of the IEEE/RJS 2010 International Conference on Intelligent Robots and Systems, Taiwan (2010).
47.Heo, N. and Varshney, P., “Energy-Efficient deployment of intelligent mobile sensor networks,” IEEE Trans. Syst. Man Cybern. 35 (1), 78–92 (2005).
48.Dudek, G.et al., “A Taxonomy for Swarm Robots,” Proceedings of the IEEE/RSJ IROS, Tokyo, Japan (1993).
49.Beni, G., From Swarm Intelligence to Swarm Robotics, Lecture Notes in Computer Science 3342 (Springer-Verlag, New York, 2005), pp. 1–9.
50.Fong, T., Nourbakhsh, I. and Dautenhahn, K., “A survey of socially interactive robots,” Robot. Auton. Syst. 42 (3–4), pp. 143–166 (2003).
51.Parker, L., “Current state of the art in distributed autonomous mobile robotics,” Distrib. Auton. Robot. Syst. 4, 3–12 (2000).
52.Winfield, A., Harper, C. and Nembrini, J., “Towards the Application of Swarm Intelligence in Safety Critical Systems,” Proceedings of the 1st Institution of Engineering and Technology International Conference on System Safety, London (2006).
53.Großand, R.Dorigo, M., “Fifty Years of Self-Assembly Experimentation,” Proceedings of the Workshop on Self-Reconfigurable Robots/Systems and Applications (2007).
54.Dudek, G.et al., “A taxonomy for multi-agent robotics,” Auton. Robots 3, 375–397 (1996).
55.Asama, H., “Distributed autonomous robotic system configurated with multiple agents and its cooperative behaviors,” J. Robot. Mechatronics 3 (4), 199–204 (1992).
56.Karaboga, D. and Akay, B., “A survey: Algorithms simulating bee swarm intelligence,” Artifial Intell. Rev. 31, 61–85 (2009).
57.Chen, Y. and Wang, Z., “Formation Control: A Review and a New Consideration,” Proceedings of the IEEE/RSJ International Conference on Intelligent Agents and Systems (2005).
58.Roberts, J.et al., “Eye-bot flyer,” available at: http://lis.epfl.ch/research/projects/Eyebot/info/eye-bot-flyer.pdf. (accessed Nov 20, 2009). [cited November 20, 2009].
59.Elston, J. and Frew, E., “Hierarchical Distributed Control for Search and Tracking by Heterogeneous Aerial Robot Networks,” In: Proceedings of the IEEE International Conference on Robotics and Automation (IEEE Press, Piscataway, NJ, 2008) pp. 170–175.
60.Christensen, A., O'Grady, R. and Dorigo, M., “Morphology control in a multirobot system,” IEEE Robot. Autom. Mag. 14 (4), 18–25 (2007).
61.Macdonald, E., “Multi-Robot Assignment and Formation Control,” Master's Thesis (School of Electrical and Computer Engineering, Georgia Tech., Atlanta, 2011) 76 pp.
62.Hoff, N., Wood, R. and Nagpal, R., “Effect of Sensor and Actuator Quality on Robot Swarm Algorithm Performance,” In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, California, (2011) pp. 4989–4994.
63.Christensen, A., Grady, R. and Dorigo, M., “A Mechanism to Self-Assemble Patterns with Autonomous Robots,” In: Proceedings of the 9th European conference on Advances in Artificial Life (Springer, Berlin, Germany, 2007) pp. 716–725.
64.Bowden, N.et al., “Self-Assembly of mesoscale objects into ordered two-dimensional arrays,” Science 276 (5310), 233–235 (1997).
65.Fukada, T.et al., “Self-Organising Robots Based on Cell Structures,” IEEE Int. Workshop on Intelligent Robotics (IEEE Computer Society Press, Los Alamitos, 1988).
66.Gross, R.et al., “Autonomous self-assembly in swarm-bots,” IEEE Trans. Robot. 22 (6), 1115–1130 (2006).
67.Tuci, E.et al., “Cooperation through self-assembly in multi-robot systems,” ACM Trans. Auton. Adapt. Syst. 1 (2), 115–150 (2006).
68.Murata, S.et al., “M-TRAN: Self-reconfigurable modular robotic system,” IEEE/ASME Trans. Mech. 7 (4), 431–441 (2002).
69.Kotay, K. and Rus, D., “Motion Synthesis for the Self-Reconfiguring Molecule,” Proceedings of the IEEE/RSJ International Conference on Robots and Systems, Victoria, Canada (1998).
70.Yim, M., “A Reconfigurable Modular Robot with Many Modes of Locomotion,” In: Proceedings of the JSM International Conference on Advanced Mechatronics (1993) pp. 283–288.
71.Hamlin, G. and Sanderson, A., “Tetrobot, Modular Robotics: Prototype and Experiments,” Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Osaka, Japan (1996).
72.Garro, B., Sossa, H. and Vazquez, R., “Evolving Ant Colony System for Optimizing Path Planning in Mobile Robots,” Proceedings of the Fourth Congress of Electronics, Robotics and Automotive Mechanics, Morelos, Mexico (2007).
73.Clark, C., Rock, S. and Latombe, J., “Motion Planning for Multiple Mobile Robot Systems using Dynamic Networks,” Proceedings of the IEEE International Conference on Robotics and Automation (2003).
74.Fidan, B., Yu, C. and Anderson, B., “Acquiring and maintaining persistence of autonomous multi-vehicle formations,” IET Control Theory Appl. 1 (2), 452–460 (2007).
75.Zhang, H., Kumar, V. and Ostrowski, J., “Motion Planning with Uncertainty,” Proceedings of the IEEE International Conference on Robotics and Automation, Leuven, Belgium (1998).
76.Wang, G., Cao, G. and La Porta, T., “Movement-assisted sensor deployment,” IEEE Trans. Mobile Comput. 5 (6), 640–652 (2006).
77.Erent, T.et al., “Operations on rigid formations of autonomous agents,” Commun. Inf. Syst. 3 (4), 223–258 (2004).
78.Olfati-Saber, R. and Murray, R., “Distributed Cooperative Control of Multiple Vehicle Formations Using Structural Potential Functions,” In: Proceedings of the 15th IFAC World Congress, Barcelona, Spain (2002) pp. 1–6.
79.Saber, R. and Murray, R., “Graph rigidity and distributed formation stabilization of multi-vehicle systems,” Proceedings of the 41st IEEE Conference on Decision and Control, Las Vegas, Nevada (2002).
80.Mesbahi, M. and Egerstedt, M. (eds.), Graph Theoretic Methods in Multiagent Networks. Applied Mathematics (Princeton University Press, NJ, 2010) 401 pp.
81.Ren, W., Beard, W. and Atkins, E., “Information consensus in multivehicle cooperative control,” IEEE Control Syst. Mag. 27 (2), 71–82 (2007).
82.Ren, W., “Consensus strategies for cooperative control of vehicle formations,” IET Control Theory Appl. 1 (2), 505–512 (2007).
83.Arai, T. and Ota, J., “Motion planning of multiple robots,” Proceedings of the IEEE/RSJ IROS, Raleigh, North Carolina (1992) pp. 1761–1768.
84.Sugihara, K. and Suzuki, I., “Distributed Motion Coordination of Multiple Mobile Robots,” Proceedings of the IEEE International Symposium on Intelligent Control, Philadelphia (1990).
85.Desai, J., Kumar, V. and Ostrowski, J., “Control of Changes in Formation for a Team of Mobile Robots,” Proceedings of the IEEE International Conference on Robotics and Automation, Detroit, Michigan (1999).
86.Belta, C. and Kumar, V., “Trajectory Design for Formations of Robots by Kinetic Energy Shaping,” Proceedings of the ICRA ‘02. IEEE International Conference on Robotics and Automation, Washington, DC (2002).
87.Sandeep, S., Fidan, B. and Yu, C., “Decentralized Cohesive Motion Control of Multi-Agent Formations,” Proceedings of the 14th Mediterranean Conference on Control and Automation, Ancona, Italy (2006).
88.Cheng, L., Hou, Z. and Tan, M., “Decentralized Adaptive Leader-Follower Control of Multi-Manipulator System with Uncertain Dynamics,” Proceedings of the 34th Annual Conference of IEEE Industrial Electronics, Orlando, Florida (2008).
89.Baldassarre, G.et al., “Self-organised coordinated motion in groups of physically connected robots,” IEEE Trans. Syst. Man Cybern. 37 (1), 224–239 (2007).
90.Ampatzis, C.et al., “Evolving self-assembly in autonomous homogeneous robots: Experiments with two physical robots,” Artif. Life 15 (4), 465–484 (2009).
91.Trianni, V. and Nolfi, S., “Self-organising sync in a robotic swarm. A dynamical system view,” IEEE Trans. Evol. Comput. (special issue on Swarm Intell.) 13 (4), 722–741 (2009).
92.Kim, D. and Han, S., “Robust Self-Organization for Swarm Robots,” Proceedings of the International Conference on Control, Automation and Systems, Seoul (2008).
93.Sperati, V., Trianni, V. and Nolfi, S., “Evolution of Self-Organised Path Formation in A Swarm of Robots,” Proceedings of the 7th International Conference on Swarm ANTS'10, Mumbai, India (Dec. 2010).
94.Marinescu, D., Marinescu, G. and Yu, C., “Self-Organizing Sensor Networks,” In: Proceedings of the 3rd International Symposium on Wireless Pervasive Computing, Santorini (2008) pp. 288–292.
95.Castelli, G., Menezes, R. and Zambonelli, F., “Self-Organized Control of Knowledge Generation in Pervasive Computing Systems,” In: SAC'09. (ACM, Honolulu, Hawaii, 2009).
96.Jin, Y. and Meng, Y., “Morphogenetic robotics: An emerging new field in developmental robotics,” IEEE Trans. Syst. Man Cybern. C: Appl. Rev. 41 (2), 145–160 (2011).
97.Zhang, M.et al., “Dynamic artificial potential field based multi-robot formation control,” Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Austin, Texas (2010).
98.Lu, Y., Guo, Y. and Dong, Z., “Multiagent flocking with formation in a constrained environment,” J. Control Theory Appl. 8 (2), 151–159 (2010).
99.Winfield, A., “Safety in numbers: Fault-tolerance in robot swarms,” Int. J. Modelling Identifi. Control 1 (1), 30–38 (2006).
100.Bai, X.et al., “Deploying wireless sensors to achieve both coverage and connectivity,” Proceedings of the 7th ACM International Symposium on Mobile ad hoc Networking and Computing, Florence, Italy (2006).
101.Desai, J., Ostrowski, P. and Kumar, V., “Modeling and control of formations of nonholonomic mobile robots,” Trans. Robot. Autom. 17 (6), 905–908 (2001).
102.Smith, B.et al., “Automatic Formation Deployment of Decentralized Heterogenous Multi-Robot Networks with Limited Sensing Capabilities,” Proceedings of the IEEE International Conference on Robotics and Automation, Kobe International Conference Center, Kobe, Japan (2009).
103.Jin, Y., Meng, Y. and Guo, H., “A Morphogenetic Self-Organization Algorithm for Swarm Robotic Systems Using Relative Position Information,” Proceedings of the UK Workshop on Computational Intelligence (UKCI), Colchester, UK (September 2010).
104.Mamei, M., Vasirani, M. and Zambonelli, F., “Experiments of morphogenesis in swarms of simple robots,” Appl. Artificial Intell. 18 (9–10), 903–919 (2004).
105.Guo, H., Meng, Y. and Jin, Y., “Analysis of Local Communication Load in Shape Formation of a Distributed Morphogenetic Swarm Robotic System,” Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Barcelona, Spain (2010).
106.Barnes, L., Fields, M. and Valavanis, K., “Swarm formation control utilizing elliptical surfaces and limiting functions,” IEEE Trans. Syst. Man Cybern. 39 (6), 1434–1445 (2009).
107.Xue, Z. and Zeng, J., “Formation Control Numerical Simulations of Geometric Patterns for Unmanned Autonomous Vehicles with Swarm Dynamical Methodologies,” Proceedings of the International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, China (2009).
108.Esin, Y. and Unel, M., “Formation control of nonholonomic mobile robots using implicit polynomials and elliptic Fourier descriptors,” Turk. J. Electr. Eng. Comput. Sci. 18 (5), 765–780 (2010).
109.Grossman, D., Aranson, S. and Jacob, E., “Emergence of agent swarm migration and vortex formation through inelastic collisions,” New J. Phys. 10, 1–10 (2008).
110.Tanner, H., Pappas, G. and Kumar, V., “Leader-to-formation stability,” IEEE Trans. Robot. Autom. 20 (3), 443–455 (2004).
111.Gazi, V. and Passino, K., “Stability analysis of swarms,” IEEE Trans. Autom. Control 48 (4), 692–697 (2003).
112.Han, X.et al., “Deploying Directional Wireless Sensors with Guaranteed Coverage and Connectivity,” Proceedings of IEEE SECON (2008).
113.Ekici, E., Gu, Y. and Bozdag, D., “Mobility-based communication in wireless sensor networks,” IEEE Commun. Mag. 44 (7), 56–62 (2006).
114.Cortes, J., Martinez, S. and Bullo, F., “Robust rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions,” IEEE Trans. Autom. Control 51 (8), 1289–1298 (2006).
115.Tanner, G., Jadbabaie, A. and Pappas, J., “Flocking in fixed and switching networks,” IEEE Trans. Autom. Control 52 (5), 863–868 (2007).
116.Olfati-Saber, R., “Flocking for multi-agent dynamic systems: Algorithms and theory,” IEEE Trans. Autom. Control 51 (3), 401–420 (2006).
117.Esposito, J., “Maintaining wireless connectivity constraints for robot swarms in the presence of obstacles,” J. Robot. 2011, 1–12 (2011).
118.Kernbach, S., “Three Cases of Connectivity and Global Information Transfer in Robot Swarms,” In: Computing Research Repository. Vol. abs/1109.4221, 1–14 (2011).
119.Thrun, S., Robotic Mapping: A Survey in Exploring Artificial Intelligence in the New Millennium (Morgan Kaufmann, San Francisco, California, 2002).
120.Portugal, D. and Rocha, R., “A Survey on Multi-robot Patrolling Algorithms,” In: Proceedings of the IFIP Advances in Information and Communication Technology (2011) pp. 139–146.
121.Lyuba, A.et al., “An Approach to Multi-Robot Site Exploration Based on Principles of Self-Organisation,” Proceedings of the International Conference on Intelligent Robotics and Applications (2010).
122.Alunni, N.et al., “Hierarchical Swarm Robotics,” project number GSF113, Graduate Thesis (Worcester Polytechnic Institute, 2011) 103 pp.
123.O'Hara, K.et al., “Physical Path Planning Using the GNATs,” In: Proceedings of the IEEE International Conference on Robotics and Automation (2005) pp. 709–714.
124.Hofmeister, M., Liebsch, M. and Zell, A., “Visual Self-Localization for Small Mobile Robots with Weighted Gradient Orientation Histograms,” Proceedings of the 40th International Symposium on Robotics (2009).
125.Jatmiko, W., Sekiyama, K. and Fukuda, T., “A pso-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: theory, simulation and measurement,” IEEE Comput. Intell. Mag. 2 (2), 37–51 (2007).
126.Groß, R.et al., “Division of Labour in Self-Organized Groups,” In: SAB 2008 (Asada, M., ed.) (Springer-Verlag, Berlin, Germany, 2008) pp. 426–436.
127.Buniyamin, N.et al., “Robot global path planning overview and a variation of ant colony system algorithm,” Int. J. Math. Comput. Simul. 5 (1), 9–16 (2011).
128.Lei, B. and Li, W., “A Fuzzy Behaviours Fusion Algorithm for Mobile Robot Real-time Path Planning in Unknown Environment,” Proceedings of the 2007 IEEE International Conference on Integration Technology Shenzhen, China (2007).
129.Rigatos, G., “Distributed gradient and particle swarm optimization for multi-robot motion planning,” Robotica 26, 357–370 (2008).
130.Tian, J., Gao, M. and Lu, E., “Dynamic Collision Avoidance Path Planning for Mobile Robot Based on Multi-Sensor Data Fusion by Support Vector Machine,” Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, Harbin (2007).
131.Hettiarachchi, S. and Spears, W., “Distributed adaptive swarm for obstacle avoidance,” Int. J. Intell. Comput. Cybern. 2 (4), 644–671 (2009).
132.Berg, J., Ferguson, D. and Kuffner, J., “Anytime Path Planning and Replanning in Dynamic Environments,” Proceedings of the 2006 IEEE International Conference on Robotics and Automation, Orlando, Florida (2006).
133.Jin, Y., Meng, Y. and Guo, H., “A Morphogenetic Self-Organization Algorithm for Swarm Robotic Systems Using Relative Position Information,” Proceedings of the UK Workshop on Computational Intelligence (UKCI), Colchester, Essex, UK (2010).
134.Khozaee, A., Aminaiee, A. and Ghaffari, A., “A Swarm Robotic Approach to Distributed Object Pushing Using Fuzzy Controllers,” Proceedings of the IEEE International Conference on Robotics and Biomimetics, Bangkok (2008).
135.Tuci, E. and Ampatzis, C., “Evolution of Acoustic Communication Between two Cooperating Robots,” In: Proceedings of the 9th European Conference on Artificial Life, LNAI 4648 (Springer-Verlag, Berlin, Germany, 2007) pp. 395–404
136.Gross, R., Mondada, F. and Dorigo, M., “Transport of an Object by Six Pre-attached Robots Interacting via Physical Links,” Proceedings of the IEEE International Conference on Robotics and Automation (2006).
137.Liu, W., “Design and Modelling of Adaptive Foraging in Swarm Robotic Systems,” PhD Thesis (Faculty of Environment and Technology, University of West of England, Bristol, UK, 2008) 201 pp.
138.Parra-Gonzalez, E. and ýrez-Torres, J. Raḿ, “Object Path Planner for the Box Pushing Problem, In: Multi-Robot Systems, Trends and Development (Yasuda, T., ed.) (InTech, Croatia, 2011) pp. 291–306, ISBN: 978-953-307-425-2.
139.Vig, L. and Adams, J., “Multi-robot coalition formation,” IEEE Trans. Robot. 22 (4), 637–649 (2006).
140.Fink, J., Hsieh, M. and Kumar, V., “Multi-Robot Manipulation via Caging in Environments with Obstacles,” Proceedings of the IEEE International Conference on Robotics and Automation, Pasedena, California (2008).
141.Wang, Z., Hirata, Y. and Kosuge, K., “Control a Rigid Caging Formation for Cooperative Object Transportation by Multiple Mobile Robots,” Proceedings of the IEEE International Conference on Robotics & Automation, New Orleans, Louisiana (2004).
142.Stirling, T. and Floreano, D., “Energy Efficient Swarm Deployment for Search in Unknown Environments in Swarm Intelligence,” In: Proceedings of the 7th International Conference on Swarm Intelligence (ANTS 2010), Brussels, Belgium, LNCS 6234 (Springer, New York, 2010) pp. 562–563.
143.Yang, S., Li, M. and Wu, J., “Scan-based movement-assisted sensor deployment methods in wireless sensor networks,” IEEE Trans. Parallel Distrib. Syst. 18 (8)1108–1121 (2007).
144.Biswas, P. and Phoha, S., “Self-organizing sensor networks for integrated target surveillance,” IEEE Trans. Comput. 55 (8)1033–1047 (2006).
145.Seyfried, J.et al., “The I-SWARM Project: Intelligent Small World Autonomous Robots for Micro-Manipulation,” In: Swarm Robotics, LNCS 3342 (Springer, Berlin, Germany, 2005) pp. 70–83.
146.Jin, Y. and Meng, Y., “Morphogenetic robotics: An emerging new field in developmental robotics,” IEEE Trans. Syst. Man Cybern. C: Appl. Rev. 41 (2), 1–16 (2010).
147.Ge, S. and Fua, C., “Quenses and artificial potential trenches for multirobot formations,” IEEE Trans. Robot. Autom. 21 (4), 646–656 (2005).
148.Barnes, L., Fields, M. and Valavanis, K., “Unmanned Ground Vehicle Swarm Formation Control Using Potential Fields,” Proceedings of the Mediterranean Conference on Control & Automation, Athens, Greece (2007).
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Robotica
  • ISSN: 0263-5747
  • EISSN: 1469-8668
  • URL: /core/journals/robotica
Please enter your name
Please enter a valid email address
Who would you like to send this to? *

CAPTCHA *

Skip to the audio challenge
×

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed

Cancel
Confirm
×