References
- 1. Balkacem K., Foudil, C. (2016), A virtual viscoelastic based aggregation model for self-organization of swarm robots system, TAROS 2016: Towards Autonomous Robotic Systems, 202–213, .
- 2. Brambilla M. Ferrante E., Birattari M., Dorigo M. (2013), Swarm robotics: a review from the swarm engineering perspective, Swarm Intell., 7(1), 1-41.
- 3. Cheah C.C., Hou S.P., Slotine J.J. (2009), Region-based shape control for a swarm of robots, Automatica, 45(10), 2406-2411.
- 4. Christensen A.L., O’Grady R., Dorigo M. (2009), From fireflies to fault-tolerant swarms of robots, IEEE Transactions on Evolutionary Computation, 13(4), 754-766.
- 5. Gazi V. (2005), Swarm aggregations using artificial potentials and sliding-mode control, IEEE Transactions on Robotics, 21(6), 1208-1214.
- 6. Gazi V., Passino K.M. (2003), Stability analysis of swarms, IEEE Transactions on Automatic Control, 48(4), 692-697.
- 7. Gazi V., Passino K.M. (2004), A class of attractions/repulsion functions for stable swarm aggregations, International Journal of Control, 77(18), 1567-1579.
- 8. Giergiel J., Żylski, W. (2005), Description of motion of a mobile robot by Maggie’s equations, J. Theor. Appl. Mech., 43(3), 511-521.
- 9. Hendzel Z. (2007), An adaptive critic neural Network for motion control of Wheeler mobile robot, Nonlinear Dynamics, 50, 849-855.
- 10. Hildenbrandt H., Carere C., Hemelrijk C.K. (2010) Self-organized aerial displays of thousands of starlings: a model, Behavioral Ecology, 21(6), 1349-1359,.
- 11. Hsieh M.A., Halasz A., Bergman S., Kumar V. (2008), Biologically inspired redistribution of a swarm of robots among multiple sites, Swarm Intelligence, 2(2-4), 121-141.
- 12. Lewis F.L., Jagannathan S., Yesildirek A. (1999), Control of Robot Manipulators and Nonlinear Systems, Tylor & Frnacjis, London.
- 13. Rauch E., Millonas M.M., Chialvo D.R. (1995), Pattern formation and functionality in swarm models, Physics Letters A, 207(3-4), 185-193.
- 14. Reynolds C.W. (1987) Flocks, herds and schools: A distributed behavioral model, ACM SIGGRAPH Computer Graphics, 21(4), 25-34, New York.
- 15. Shucker B., Bennett J.K. (2005), Virtual spring mesh algorithms for control of distributed robotic macrosensors, University of Colorado at Bulder, Technical Report CU-CS-996-05.
- 16. Spears W.M., Spears D.F., Hamann J.C., Heil R. (2004), Distributed, physics-based control of swarms of vehicles, Autonomous Robots, 17(2-3), 137-162.
- 17. Spong M.W., Vidyasagar M. (1989), Robot dynamics and control, John Wiley & Sons.
- 18. Trianni V. (2008), Evolutionary Swarm Robotics: Evolving Self-organising Behaviours in Groups of Autonomous Robots, Studies in Computational Intelligence, 108. Springer, Berlin.
- 19. Urcola P., Riazuelo L., Lazaro M.T., Montano L. (2008), Cooperative navigation using environment compliant robot formations, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2789-2794.
- 20. Wiech J., Eremeyev V.A., Giorgio I. (2018), Virtual spring damper method for nonholonomic robotic swarm self-organization and leader following, Continuum Mechanics and Thermodynamics, 1-12, Springer, 2018