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Volumn , Issue , 2012, Pages 1113-1119

Leveraging multiple simulators for crossing the reality gap

Author keywords

AUV; evolution; evolutionary robotics; fluid dynamics; reailty gap; robot; simulation

Indexed keywords

AUV; EVOLUTION; EVOLUTIONARY ROBOTICS; REAILTY GAP; SIMULATION;

EID: 84876033960     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2012.6485313     Document Type: Conference Paper
Times cited : (38)

References (20)
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    • Nonlinear system identification using coevolution of models and tests
    • J. C. Bongard and H. Lipson. Nonlinear System Identification Using Coevolution of Models and Tests. IEEE Transactions on Evolutionary Computation, 9 (4): 361-384, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.4 , pp. 361-384
    • Bongard, J.C.1    Lipson, H.2
  • 5
    • 33751214838 scopus 로고    scopus 로고
    • Resilient machines through continuous self-modeling
    • J. C. Bongard,V. Zykov and H. Lipson. Resilient Machines Through Continuous Self-Modeling. Science, 314: 1118-1121, 2006.
    • (2006) Science , vol.314 , pp. 1118-1121
    • Bongard, J.C.1    Zykov, V.2    Lipson, H.3
  • 10
    • 21044438483 scopus 로고    scopus 로고
    • Evolutionary optimization in uncertain environments-a survey
    • Y. Jin and J. Branke. Evolutionary optimization in uncertain environments-a survey. IEEE Transactions on Evolutionary Computation, 9 (3): 303-317, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.3 , pp. 303-317
    • Jin, Y.1    Branke, J.2
  • 14
    • 0029311877 scopus 로고
    • Evolving mobile robots in simulated and real environments
    • O. Miglino, H. H. Lund and S. Nolfi. Evolving mobile robots in simulated and real environments. Artificial Life, 2 (4): 417-434, 1995.
    • (1995) Artificial Life , vol.2 , Issue.4 , pp. 417-434
    • Miglino, O.1    Lund, H.H.2    Nolfi, S.3
  • 17
    • 84858456497 scopus 로고    scopus 로고
    • Retrieved August 14, 2007, from
    • Physics Abstraction Layer. Retrieved August 14, 2007, from http://pal.sourceforge.net/
    • Physics Abstraction Layer


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.