메뉴 건너뛰기




Volumn 22, Issue 2, 1997, Pages 87-101

An integrated architecture for learning of reactive behaviors based on dynamic cell structures

Author keywords

Dynamic cell structures; Integrated architecture; Mobile robot; Obstacle avoidance; RBF networks; Reactive control; Reinforcement learning; Sugeno fuzzy control

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; FUZZY CONTROL; FUZZY SETS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; MOBILE ROBOTS; NEURAL NETWORKS; SENSORS; SONAR;

EID: 0031272154     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-8890(97)00032-8     Document Type: Article
Times cited : (5)

References (23)
  • 2
    • 0003526044 scopus 로고
    • GAL: Networks that grow when they learn and shrink when they forget
    • International Computer Science Institute, Berkeley, CA
    • E. Alpaydin, GAL: Networks that grow when they learn and shrink when they forget, Technical Report 91-032, International Computer Science Institute, Berkeley, CA, 1991.
    • (1991) Technical Report 91-032
    • Alpaydin, E.1
  • 3
    • 0029277469 scopus 로고
    • A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning
    • H.R. Beom and H.S. Cho, A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning, IEEE Transactions on Systems, Man and Cybernetics 25 (3) (1995) 464-477.
    • (1995) IEEE Transactions on Systems, Man and Cybernetics , vol.25 , Issue.3 , pp. 464-477
    • Beom, H.R.1    Cho, H.S.2
  • 4
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • H.R. Berenji and P. Kheda, Learning and tuning fuzzy logic controllers through reinforcements, IEEE Transactions on Neural Networks 3 (5) (1992) 724-740.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 724-740
    • Berenji, H.R.1    Kheda, P.2
  • 5
    • 0005614426 scopus 로고
    • On-line learning with dynamic cell structures
    • J. Bruske, I. Ahrns and G. Sommer, On-line learning with dynamic cell structures, ICANN'95 (1995) 141-146.
    • (1995) ICANN'95 , pp. 141-146
    • Bruske, J.1    Ahrns, I.2    Sommer, G.3
  • 7
    • 30244502157 scopus 로고    scopus 로고
    • Adaptive saccade control of a binocular head with dynamic cell structures
    • J. Bruske, M. Hansen, L. Riehn and G. Sommer, Adaptive saccade control of a binocular head with dynamic cell structures, ICANN'96 (1996) 215-220.
    • (1996) ICANN'96 , pp. 215-220
    • Bruske, J.1    Hansen, M.2    Riehn, L.3    Sommer, G.4
  • 8
    • 0001311791 scopus 로고
    • Dynamic cell structure learns perfectly topology preserving map
    • J. Bruske and G. Sommer, Dynamic cell structure learns perfectly topology preserving map, Neural Computation 7 (4) (1995) 845-865.
    • (1995) Neural Computation , vol.7 , Issue.4 , pp. 845-865
    • Bruske, J.1    Sommer, G.2
  • 9
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organizing network for unsupervised and supervised learning
    • B. Fritzke, Growing cell structures - a self-organizing network for unsupervised and supervised learning, Neural Networks 7 (9) (1995) 1441-1460.
    • (1995) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 10
    • 0025600638 scopus 로고
    • A stochastic reinforcement learning algorithm for learning real-valued functions
    • V. Gullapalli, A stochastic reinforcement learning algorithm for learning real-valued functions, Neural Networks 3 (1990) 671-692.
    • (1990) Neural Networks , vol.3 , pp. 671-692
    • Gullapalli, V.1
  • 11
    • 0029386506 scopus 로고
    • A learning architecture based on reinforcement learning for adaptive control of the walking maching LAURON
    • W. Ilg and K. Berns, A learning architecture based on reinforcement learning for adaptive control of the walking maching LAURON, Robotics and Autonomous Systems 15 (1995) 321-324.
    • (1995) Robotics and Autonomous Systems , vol.15 , pp. 321-324
    • Ilg, W.1    Berns, K.2
  • 12
    • 0022674420 scopus 로고
    • Real-time obstacle avoidance for manipulators and mobile robotics international
    • O. Khatib, Real-time obstacle avoidance for manipulators and mobile robotics international, Journal of Robotics Research 5 (1) (1986) 90-98.
    • (1986) Journal of Robotics Research , vol.5 , Issue.1 , pp. 90-98
    • Khatib, O.1
  • 13
    • 84947709855 scopus 로고
    • Adaptive state space quantization for reinforcement learning of collision-free navigation
    • B. Kroese and J. Dam, Adaptive state space quantization for reinforcement learning of collision-free navigation, Proc. Int. Conf. on Int. Robots and Systems (1992) 1327-1333.
    • (1992) Proc. Int. Conf. on Int. Robots and Systems , pp. 1327-1333
    • Kroese, B.1    Dam, J.2
  • 14
    • 0028204732 scopus 로고
    • Topology representing networks
    • T. Martinetz and K. Schulten, Topology representing networks, Neural Networks 7 (1994) 505-522.
    • (1994) Neural Networks , vol.7 , pp. 505-522
    • Martinetz, T.1    Schulten, K.2
  • 15
    • 0029386560 scopus 로고
    • Reinforcement leading of goal-directed obstacle avoiding reaction strategies in an autonomous mobile robot
    • J.R. Millan, Reinforcement leading of goal-directed obstacle avoiding reaction strategies in an autonomous mobile robot. Robotics and Autonomous Systems 15 (1995) 275-299.
    • (1995) Robotics and Autonomous Systems , vol.15 , pp. 275-299
    • Millan, J.R.1
  • 17
    • 0011267427 scopus 로고
    • Obstacle Avoidance through reinforcement learning
    • T. Prescott and J. Mayhew, Obstacle Avoidance through reinforcement learning, NIPS (1992) 523-530.
    • (1992) NIPS , pp. 523-530
    • Prescott, T.1    Mayhew, J.2
  • 18
    • 0028413505 scopus 로고
    • Fuzzy logic techniques for mobile robot obstacle avoidance
    • P. Reignier, Fuzzy logic techniques for mobile robot obstacle avoidance, Robotics and Autonomous Systems 12 (1994) 143-153.
    • (1994) Robotics and Autonomous Systems , vol.12 , pp. 143-153
    • Reignier, P.1
  • 19
    • 0029405509 scopus 로고
    • Supervised incremental learning of fuzzy rules
    • P. Reignier, Supervised incremental learning of fuzzy rules, Robotics and Autonomous Systems 16 (1995) 57-71.
    • (1995) Robotics and Autonomous Systems , vol.16 , pp. 57-71
    • Reignier, P.1
  • 20
    • 30244447808 scopus 로고    scopus 로고
    • Incremental category learning in a real world artifact using growing dynamic cell structures
    • C. Scheir, Incremental category learning in a real world artifact using growing dynamic cell structures, Proceedings of ESANN'96 (1996) 117-122.
    • (1996) Proceedings of ESANN'96 , pp. 117-122
    • Scheir, C.1
  • 21
    • 33847202724 scopus 로고
    • Learning to predict by the methods of temporal differences
    • R.S. Sutton, Learning to predict by the methods of temporal differences, Machine Learning (1) (1988) 9-44.
    • (1988) Machine Learning , vol.1 , pp. 9-44
    • Sutton, R.S.1
  • 23
    • 0000337576 scopus 로고
    • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    • R.J. Williams, Simple statistical gradient-following algorithms for connectionist reinforcement learning, Machine Learning (8) (1992) 229-256.
    • (1992) Machine Learning , vol.8 , pp. 229-256
    • Williams, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.