Co-evolution of a multiple autonomous robot system and its working environment via intelligent local information storage

Robotics and Autonomous Systems

Volumn 19, Issue 1, 1996, Pages 1-13

  Fujii, Teruo ^a   Asama, Hajime ^a   Von Numers, Thomas ^b   Fujita, Takanori ^c   Kaetsu, Hayato ^a   Endo, Isao ^a  

^a INST OF PHYS AND CHEMICAL RESEARCH   (Japan)

^b VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^c TOYO UNIVERSITY   (Japan)

Author keywords

Adaptation; Autonomous mobile robots; Co evolution; Evolution; Multiple robots

Indexed keywords

EXPERIMENTS; INFORMATION MANAGEMENT; INFORMATION USE; MULTIPURPOSE ROBOTS; REDUNDANCY; ROBUSTNESS (CONTROL SYSTEMS);

AUTONOMOUS MOBILE ROBOTS; CO-EVOLUTION; EVOLUTION; MULTIPLE ROBOTS;

MOBILE ROBOTS;

EID: 0030284223     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-8890(96)00029-2     Document Type: Article

References (24)

1. J.S. Albus, System description and design architecture for multiple autonomous undersea vehicles, NIST Technical Note 1251 (1988).
2. J.S. Albus and D.R. Blidberg, A control system architecture for multiple autonomous vehicles (MAUV), Proc. Int. Symp. on Unmanned Untethered Submersible Technology, Durham, NH (1987) 444-466.
3. H. Asama, et al., Mutual transportation of cooperative mobile robots using forklift mechanisms, Proc. IEEE Int. Conf. Robotics and Automation '96, Minneapolis, MN (1996) 1754-1759.
4. H. Asama, T. Fukuda, T. Arai and I. Endo, eds., Distributed Autonomous Robotic Systems (Springer, Berlin, 1994).
5. H. Asama, A. Matsumoto and Y. Ishida, Design of an autonomous and distributed robot system: ACTRESS, Proc. IEEE/RSJ Int. Workshop on Intelligent Robots and Systems. Tsukuba, Japan (1989) 283-290.
6. D. Bullock, J.C. Fiala and S. Grossberg, A neural model of timed response learning in the cerebellum, Neural Networks, 7 (6/7) (1994) 1101-1114.
7. D.B. Fogel, Evolutionary Computation (IEEE Press, New-York, 1995)
8. T Fujii and T. Ura, Development of motion control system for AUV using neural nets. Proc. IEEE Symp. on AUV Technology, Washington, DC (1990) 81-86.
9. T. Fukuda and T. Ueyama, Cellular Robotics and Micro Robotic Systems (World Scientific, Singapore, 1994).
10. D.E Goldberg, Genetic Algorithms in Search, Optimization & Machine Learning (Addison-Wesley, Reading, MA, 1989).
11. K. Ishii, T. Ura and T Fujii, A feed forward neural network for identification and adaptive control of autonomous underwater vehicles. Proc. IEEE Int. Conf. on Neural Networks '94, Orlando, FL (1994) 3216-3221.
12. M. Kawato et al., Hierarchical neural network for voluntary movement with application to robotics, IEEE Control Systems Magazine, 8 (3) (1990) 8-16.
13. P. Kerlirzin and P. Refregier, Theoretical investigation of the robustness of multilayer perceptrons: Analysis of the linear case and extension to nonlinear networks, IEEE Transactions on Neural Networks, 6 (3) (1995) 560-571.
14. C. Langton, Preface. Artificial Life II (Addison-Wesley, Reading, MA, 1992).
15. K.S. Narendra and K. Parthasarathy, Identification and control of dynamical systems using neural networks, IEEE Transactions on Neural Networks, 1 (1) (1990) 4-27.
16. D.H. Nguyen and B. Widrow, Neural networks for self-learning control systems, IEEE Control System Magazine, 10 (3) (1990) 18-23.
17. S. Nolfi et al., How to evolve autonomous robots: Different approaches in evolutionary robotics, in: Artificial Life IV (MIT Press Cambridge, MA 1994) 190-198.
18. Proc. Int. Symp. on Distributed Autonomous Robotic Systems '92, Saitama, Japan (1992).
19. Proc. Int. Workshop on Biologically Inspired Evolutionary Systems '95 (1995).
20. L. Steels, Emergent functionality in robotic agents through on-line evolution. Artificial Life IV (MIT Press Cambridge MA 1994) 8-14.
21. T. Suto and T. Ura, Unsupervised learning system for vehicle guidance constructed with neural network. Proc. Int. Symp. on Unmanned Untethered Submersible Technology '91, Durham, NH (1991) 203-212.
22. T. von Numers et al., An intelligent data carrier system for local communication between cooperative multiple robots and environment. Proc. 2nd IFAC Conf. on Intelligent Autonomous Vehicles '95, Espoo, Finland (1995) 366-371.
23. J. Wray and G.G.R. Green, Neural networks, approximation theory, and finite precision computation. Neural Networks, 8 (1) (1995) 31-37.
24. J. Xiao et al., Evolutionary planner/navigator in a mobile robot environment. UNC Charlotte Technical Report 010 (1994).