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Volumn 2, Issue , 2006, Pages 1825-1832

Evolutionary motion design for humanoid robots

Author keywords

Evolutionary Robotics; Humanoid Robot; Interactive Evolutionary Computation; Motion Design; Multi objective GA

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; INTERACTIVE COMPUTER SYSTEMS; MOTION COMPENSATION; ROBOTS; USER INTERFACES;

EID: 33750239890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144291     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 6
    • 35248892574 scopus 로고    scopus 로고
    • Learning biped locomotion from first principles on a simulated Humanoid Robot using Linear Genetic Programming
    • K. Wolff and P. Nordin. Learning biped locomotion from first principles on a simulated Humanoid Robot using Linear Genetic Programming. GECCO, pages 495-506, 2003.
    • (2003) GECCO , pp. 495-506
    • Wolff, K.1    Nordin, P.2
  • 11
    • 0001953837 scopus 로고
    • Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization
    • Morgan Kaufmann
    • C. M. Fonseca and P. J. Fleming. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In Genetic Algorithms: Proceedings of the Fifth International Conference, pages 416-423. Morgan Kaufmann, 1993.
    • (1993) Genetic Algorithms: Proceedings of the Fifth International Conference , pp. 416-423
    • Fonseca, C.M.1    Fleming, P.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.