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Volumn 33, Issue 1, 2003, Pages 17-27

A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance

Author keywords

Fuzzy system; Obstacle avoidance; Reinforcement learning; Supervised learning; Virtual environment (VE)

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; MOBILE ROBOTS; SIMULATORS; VIRTUAL REALITY;

EID: 0037278069     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2003.808179     Document Type: Article
Times cited : (140)

References (35)
  • 1
    • 0024664279 scopus 로고
    • Dynamic generation of subgoals for autonomous mobile robots using local feedback information
    • May
    • B. H. Krogh and D. Feng, "Dynamic generation of subgoals for autonomous mobile robots using local feedback information," IEEE Trans. Automat. Contr., vol. 34, pp. 483-493, May 1989.
    • (1989) IEEE Trans. Automat. Contr. , vol.34 , pp. 483-493
    • Krogh, B.H.1    Feng, D.2
  • 2
    • 0029326261 scopus 로고
    • Robot navigation in unknown generalized polygonal terrains using vision sensors
    • June
    • N. S. V. Rao, "Robot navigation in unknown generalized polygonal terrains using vision sensors," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 947-962, June 1995.
    • (1995) IEEE Trans. Syst., Man, Cybern. , vol.25 , pp. 947-962
    • Rao, N.S.V.1
  • 3
    • 0025477436 scopus 로고
    • Dynamic path planning in sensor-based terrain acquisition
    • Aug.
    • V. J. Lumelsky et al., "Dynamic path planning in sensor-based terrain acquisition," IEEE Trans. Robot. Automat., vol. 6, pp. 530-540, Aug. 1990.
    • (1990) IEEE Trans. Robot. Automat. , vol.6 , pp. 530-540
    • Lumelsky, V.J.1
  • 4
    • 0025518946 scopus 로고
    • Autonomous robot navigation in unknown terrains: Incidental learning and environment exploration
    • Nov./Dec.
    • N. A. V. Rao and S. S. Iyengar, "Autonomous robot navigation in unknown terrains: Incidental learning and environment exploration," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 1443-1449, Nov./Dec. 1990.
    • (1990) IEEE Trans. Syst., Man, Cybern. , vol.20 , pp. 1443-1449
    • Rao, N.A.V.1    Iyengar, S.S.2
  • 5
    • 0024733382 scopus 로고
    • Real-time obstacle avoidance for fast mobile robot
    • Sept./Oct.
    • J. Borestein and Y. Koren, "Real-time obstacle avoidance for fast mobile robot," IEEE Trans. Syst., Man, Cybern., vol. 19, pp. 1179-1186, Sept./Oct. 1989.
    • (1989) IEEE Trans. Syst., Man, Cybern. , vol.19 , pp. 1179-1186
    • Borestein, J.1    Koren, Y.2
  • 6
    • 0032188523 scopus 로고    scopus 로고
    • An analytical tractable potential field model of free space and its application in obstacle avoidance
    • Oct.
    • J.H. Chung and N. Ahuja, "An analytical tractable potential field model of free space and its application in obstacle avoidance," IEEE Trans. Syst., Man, Cybern. B, vol. 28, pp. 729-736, Oct. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. B , vol.28 , pp. 729-736
    • Chung, J.H.1    Ahuja, N.2
  • 7
    • 0025725109 scopus 로고
    • Potential field methods and their inherent limitations for mobile robot navigation
    • Y. Koren and J. Borenstein, "Potential field methods and their inherent limitations for mobile robot navigation," Proc. IEEE Int. Conf. Robotics and Automation, pp. 1398-1404, 1991.
    • (1991) Proc. IEEE Int. Conf. Robotics and Automation , pp. 1398-1404
    • Koren, Y.1    Borenstein, J.2
  • 8
    • 0022688781 scopus 로고
    • A robust layered control system for a mobile robot
    • R. A. Brooks, "A robust layered control system for a mobile robot," IEEE J. Robot. Automat., vol. RA-2, no. 1, pp. 14-23, 1986.
    • (1986) IEEE J. Robot. Automat. , vol.RA-2 , Issue.1 , pp. 14-23
    • Brooks, R.A.1
  • 9
    • 0028483350 scopus 로고
    • Behavior control for exploration of planetary surfaces
    • Aug.
    • E. Gat and R. Desai et al., "Behavior control for exploration of planetary surfaces," IEEE Trans. Robot. Automat., vol. 10, pp. 490-503, Aug. 1994.
    • (1994) IEEE Trans. Robot. Automat. , vol.10 , pp. 490-503
    • Gat, E.1    Desai, R.2
  • 10
    • 0030167564 scopus 로고    scopus 로고
    • Behavior analysis and training-A methodology for behavior engineering
    • June
    • M. Colombetti and M. Dorigo et al., "Behavior analysis and training-A methodology for behavior engineering," IEEE Trans. Syst., Man, Cybern. B, vol. 26, pp. 365-380, June 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. B , vol.26 , pp. 365-380
    • Colombetti, M.1    Dorigo, M.2
  • 11
    • 0030168651 scopus 로고    scopus 로고
    • Learning reactive and planning rules in a motivationally autonomous animation
    • June
    • J. Donnart and J. Meyer, "Learning reactive and planning rules in a motivationally autonomous animation," IEEE Trans. Syst., Man, Cybern. B, vol. 26, pp. 381-395, June 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. B , vol.26 , pp. 381-395
    • Donnart, J.1    Meyer, J.2
  • 14
    • 0029515577 scopus 로고
    • Coordination of distributed fuzzy behaviors in mobile robot control
    • E. Tunstel, "Coordination of distributed fuzzy behaviors in mobile robot control," Proc. IEEE Int. Conf. Syst., Man, Cybern., pp. 4009-4014, 1995.
    • (1995) Proc. IEEE Int. Conf. Syst., Man, Cybern. , pp. 4009-4014
    • Tunstel, E.1
  • 15
    • 0029325240 scopus 로고
    • A fuzzy logic based extension to Payton and Rosenblatt's command fusion method for mobile robot navigation
    • June
    • J. Yen and N. Pfluger, "A fuzzy logic based extension to Payton and Rosenblatt's command fusion method for mobile robot navigation," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 971-978, June 1995.
    • (1995) IEEE Trans. Syst., Man, Cybern. , vol.25 , pp. 971-978
    • Yen, J.1    Pfluger, N.2
  • 16
    • 0007911636 scopus 로고
    • Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
    • May
    • A. Homaifar and E. MCCormick, "Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 3, pp. 129-139, May 1995.
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , pp. 129-139
    • Homaifar, A.1    McCormick, E.2
  • 17
    • 0029277469 scopus 로고
    • A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning
    • Mar.
    • H. R. Beom and H. S. Cho, "A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 464-477, Mar. 1995.
    • (1995) IEEE Trans. Syst., Man, Cybern. , vol.25 , pp. 464-477
    • Beom, H.R.1    Cho, H.S.2
  • 18
    • 0033115244 scopus 로고    scopus 로고
    • An intelligent mobile vehicle navigator based on fuzzy logic and reinforcement learning
    • Apr.
    • N.H.C. Yung and C. Ye, "An intelligent mobile vehicle navigator based on fuzzy logic and reinforcement learning," IEEE Trans. Syst., Man, Cybern. B, vol. 29, pp. 314-321, Apr. 1999.
    • (1999) IEEE Trans. Syst., Man, Cybern. B , vol.29 , pp. 314-321
    • Yung, N.H.C.1    Ye, C.2
  • 19
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement methods
    • Sept.
    • L. Jouffle, "Fuzzy inference system learning by reinforcement methods," IEEE Trans. Syst., Man, Cybern. C, vol. 28, pp. 338-355, Sept. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. C , vol.28 , pp. 338-355
    • Jouffle, L.1
  • 20
    • 0032208721 scopus 로고    scopus 로고
    • Reinforcement learning to train a cooperative network with both discrete and continuous output neurons
    • Nov.
    • S. Yamada, M. Nakashima, and S. Shiono, "Reinforcement learning to train a cooperative network with both discrete and continuous output neurons," IEEE Trans. Neural Networks, vol. 9, pp. 1502-1508, Nov. 1998.
    • (1998) IEEE Trans. Neural Networks , vol.9 , pp. 1502-1508
    • Yamada, S.1    Nakashima, M.2    Shiono, S.3
  • 21
    • 0035359275 scopus 로고    scopus 로고
    • An approach to the design of reinforcement function in real world, agent-based application
    • June
    • A. Bonarini, C. Bonacina, and M. Matteucci, "An approach to the design of reinforcement function in real world, agent-based application," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 288-301, June 2001.
    • (2001) IEEE Trans. Syst., Man, Cybern. B , vol.31 , pp. 288-301
    • Bonarini, A.1    Bonacina, C.2    Matteucci, M.3
  • 22
    • 0032098032 scopus 로고    scopus 로고
    • An adaptive fuzzy neural network for mimo system model approximation in high-dimensional spaces
    • June
    • C.K. Chak, G. Feng, and J. Ma, "An adaptive fuzzy neural network for mimo system model approximation in high-dimensional spaces," IEEE Trans. Syst., Man, Cybern. B, vol. 28, pp. 436-446, June 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. B , vol.28 , pp. 436-446
    • Chak, C.K.1    Feng, G.2    Ma, J.3
  • 23
    • 0031999146 scopus 로고    scopus 로고
    • An on-line self-constructing neural fuzzy inference network and its applications
    • Feb.
    • C. F. Juang and C. T. Lin, "An on-line self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Syst., vol. 6, pp. 12-32, Feb. 1998.
    • (1998) IEEE Trans. Fuzzy Syst. , vol.6 , pp. 12-32
    • Juang, C.F.1    Lin, C.T.2
  • 24
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • C. T. Lin and C. S. G. Lee, "Neural-network-based fuzzy logic control and decision system," IEEE Trans. Comput., vol. 40, no. 12, pp. 1320-1336, 1991.
    • (1991) IEEE Trans. Comput. , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.T.1    Lee, C.S.G.2
  • 25
    • 0028369322 scopus 로고
    • Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
    • Feb.
    • _, "Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems," IEEE Trans. Fuzzy Syst., vol. 2, pp. 46-63, Feb. 1994.
    • (1994) IEEE Trans. Fuzzy Syst. , vol.2 , pp. 46-63
  • 26
    • 0030147547 scopus 로고    scopus 로고
    • Reinforcement learning for an art-based fuzzy adaptive learning control network
    • May
    • C.J. Lin and C. T. Lin, "Reinforcement learning for an art-based fuzzy adaptive learning control network," IEEE Trans. Neural Networks, vol. 7, pp. 709-731, May 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , pp. 709-731
    • Lin, C.J.1    Lin, C.T.2
  • 29
    • 0024137490 scopus 로고
    • Increased rates of convergence through learning rate adaptation
    • R. A. Jacobs, "Increased rates of convergence through learning rate adaptation," Neural Netw., vol. 1, no. 4, pp. 295-307, 1988.
    • (1988) Neural Netw. , vol.1 , Issue.4 , pp. 295-307
    • Jacobs, R.A.1
  • 30
    • 0030106891 scopus 로고    scopus 로고
    • Fuzzy parameter adaptation in optimization: Some neural net training examples
    • Spring
    • P. Arabshahi, J. J. Choi, R. J. Marks, II, and T. P. Caudell, "Fuzzy parameter adaptation in optimization: Some neural net training examples," IEEE Comput. Sci. Eng., vol. 3, no. 1, pp. 57-65, Spring 1996.
    • (1996) IEEE Comput. Sci. Eng. , vol.3 , Issue.1 , pp. 57-65
    • Arabshahi, P.1    Choi, J.J.2    Marks R.J. II3    Caudell, T.P.4
  • 31
    • 0003544743 scopus 로고
    • Van Nostrand, New York. The role of exploration in learning control
    • Handbook of Intelligent Control, Van Nostrand, New York, 1992, pp. 527-559. The role of exploration in learning control.
    • (1992) Handbook of Intelligent Control , pp. 527-559
  • 32
    • 0026923465 scopus 로고
    • Learning and tuning fuzzy logic controllers through reinforcements
    • Sept.
    • H. R. Berenji and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Trans. Neural Networks, vol. 3, pp. 724-740, Sept. 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 724-740
    • Berenji, H.R.1    Khedkar, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.