메뉴 건너뛰기




Volumn 3, Issue 3, 2009, Pages 203-222

Distributed scalable multi-robot learning using particle swarm optimization

Author keywords

Multi robot systems; Particle swarm optimization; Robotic learning

Indexed keywords

FASTER RATES; GROUP SIZE; LEARNING TECHNIQUES; LOCAL INFORMATION; MULTI-ROBOT LEARNING; MULTI-ROBOT SYSTEMS; ONLINE LEARNING; ONLINE ROBOTICS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PERFORMANCE OBSTACLES; REAL ROBOT; ROBOT GROUP; ROBOTIC LEARNING; SHARING INFORMATION;

EID: 67650147998     PISSN: 19353812     EISSN: 19353820     Source Type: Journal    
DOI: 10.1007/s11721-009-0030-z     Document Type: Article
Times cited : (32)

References (36)
  • 3
    • 0003404197 scopus 로고    scopus 로고
    • Behavioral diversity in learning robot teams
    • Ph.D. thesis, College of Computing, Georgia Institute of Technology, Atlanta, GA
    • Balch, T. (1998). Behavioral diversity in learning robot teams. Ph.D. thesis, College of Computing, Georgia Institute of Technology, Atlanta, GA.
    • (1998)
    • Balch, T.1
  • 4
    • 0035976342 scopus 로고    scopus 로고
    • Learning human arm movements by imitation: Evaluation of a biologically-inspired connectionist architecture
    • Billard, A., & Matarić, M. J. (2001). Learning human arm movements by imitation: Evaluation of a biologically-inspired connectionist architecture. Robotics and Autonomous Systems, 37, 145-160.
    • (2001) Robotics and Autonomous Systems , vol.37 , pp. 145-160
    • Billard, A.1    Matarić, M.J.2
  • 6
    • 38049013841 scopus 로고    scopus 로고
    • EcoPS - A model of group-foraging with particle swarm systems
    • In Proc. of the Euro. conf. on artificial life Berlin: Springer
    • Di Chio, C., & Di Chio, P. (2007). EcoPS - a model of group-foraging with particle swarm systems. In LNCS: Vol. 4648. Proc. of the Euro. conf. on artificial life (pp. 685-695). Berlin: Springer.
    • (2007) LNCS , vol.4648 , pp. 685-695
    • Di Chio, C.1    Di Chio, P.2
  • 11
    • 34547238433 scopus 로고    scopus 로고
    • A PSO-based mobile sensor network for odor source localization in dynamic environment: Theory, simulation and measurement
    • In Los Alamitos: IEEE Computer Society
    • Jatmiko, W., Sekiyama, K., & Fukuda, T. (2006). A PSO-based mobile sensor network for odor source localization in dynamic environment: theory, simulation and measurement. In Proc. of the IEEE congress on evolutionary computation (pp. 1036-1043). Los Alamitos: IEEE Computer Society.
    • (2006) Proc. of the IEEE Congress on Evolutionary Computation , pp. 1036-1043
    • Jatmiko, W.1    Sekiyama, K.2    Fukuda, T.3
  • 13
    • 0032123218 scopus 로고    scopus 로고
    • Faster learning of control parameters through sharing experiences of autonomous mobile robots
    • Kelly, I. D., & Keating, D. A. (1998). Faster learning of control parameters through sharing experiences of autonomous mobile robots. International Journal of System Science, 29, 783-793.
    • (1998) International Journal of System Science , vol.29 , pp. 783-793
    • Kelly, I.D.1    Keating, D.A.2
  • 16
    • 85158146654 scopus 로고
    • Automatic programming of behavior-based robots using reinforcement learning
    • In San Francisco: Morgan Kaufmann
    • Mahadevan, S., & Connell, J. (1991). Automatic programming of behavior-based robots using reinforcement learning. In Proc. of the natl. conf. on artificial intelligence (pp. 768-773). San Francisco: Morgan Kaufmann.
    • (1991) Proc. of the Natl. Conf. on Artificial Intelligence , pp. 768-773
    • Mahadevan, S.1    Connell, J.2
  • 20
    • 31844450882 scopus 로고    scopus 로고
    • High speed obstacle avoidance using monocular vision and reinforcement learning
    • In New York: ACM
    • Michels, J., Saxena, A., & Ng, A. Y. (2005). High speed obstacle avoidance using monocular vision and reinforcement learning. In Proc. of the int. conf. on machine learning (pp. 593-600). New York: ACM.
    • (2005) Proc. of the Int. Conf. on Machine Learning , pp. 593-600
    • Michels, J.1    Saxena, A.2    Ng, A.Y.3
  • 21
    • 0029311877 scopus 로고
    • Evolving mobile robots in simulated and real environments
    • Miglino, O., Lund, H. H., & Nolfi, S. (1995). Evolving mobile robots in simulated and real environments. Artificial Life, 2, 417-434.
    • (1995) Artificial Life , vol.2 , pp. 417-434
    • Miglino, O.1    Lund, H.H.2    Nolfi, S.3
  • 22
    • 0031133050 scopus 로고    scopus 로고
    • Specialization in multi-agent systems through learning
    • Murciano, A., Millán, J. R., & Zamora, J. (1997). Specialization in multi-agent systems through learning. Behavioral Cybernetics, 76, 375-382.
    • (1997) Behavioral Cybernetics , vol.76 , pp. 375-382
    • Murciano, A.1    Millán, J.R.2    Zamora, J.3
  • 23
    • 34247279253 scopus 로고    scopus 로고
    • Learning in multi-robot scenarios through physically embedded genetic algorithms
    • In Cambridge: MIT Press
    • Nehmzow, U. (2002). Learning in multi-robot scenarios through physically embedded genetic algorithms. In Proc. of the int. conf. on the simulation of adaptive behavior (pp. 391-392). Cambridge: MIT Press.
    • (2002) Proc. of the Int. Conf. on the Simulation of Adaptive Behavior , pp. 391-392
    • Nehmzow, U.1
  • 24
    • 0030222463 scopus 로고    scopus 로고
    • An on-line method to evolve behavior and to control a miniature robot in real time with genetic programming
    • Nordin, P., & Bahnzaf, W. (1997). An on-line method to evolve behavior and to control a miniature robot in real time with genetic programming. Adaptive Behavior, 5, 107-140.
    • (1997) Adaptive Behavior , vol.5 , pp. 107-140
    • Nordin, P.1    Bahnzaf, W.2
  • 25
    • 26444601262 scopus 로고    scopus 로고
    • Cooperative multi-agent learning: The state of the art
    • Panait, L., & Luke, S. (2005). Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11, 387-434.
    • (2005) Autonomous Agents and Multi-Agent Systems , vol.11 , pp. 387-434
    • Panait, L.1    Luke, S.2
  • 26
    • 0031365781 scopus 로고    scopus 로고
    • L-ALLIANCE: Task-oriented multi-robot learning in behavior-based systems
    • Parker, L. E. (1997). L-ALLIANCE: Task-oriented multi-robot learning in behavior-based systems. Advanced Robotics, 11, 305-322.
    • (1997) Advanced Robotics , vol.11 , pp. 305-322
    • Parker, L.E.1
  • 28
    • 54349083807 scopus 로고    scopus 로고
    • Distributed adaptation in multi-robot search using particle swarm optimization
    • In Proc. of the int. conf. on the simulation of adaptive behavior Berlin: Springer
    • Pugh, J., & Martinoli, A. (2008). Distributed adaptation in multi-robot search using particle swarm optimization. In LNCS: Vol. 5040. Proc. of the int. conf. on the simulation of adaptive behavior (pp. 393-402). Berlin: Springer.
    • (2008) LNCS , vol.5040 , pp. 393-402
    • Pugh, J.1    Martinoli, A.2
  • 29
    • 78049257848 scopus 로고    scopus 로고
    • An exploration of online parallel learning in heterogeneous multi-robot swarms
    • Berlin: Springer. Chap. 7
    • Pugh, J., & Martinoli, A. (2009). An exploration of online parallel learning in heterogeneous multi-robot swarms. Design and control of intelligent robotic systems, SCI 177 (pp. 145-165). Berlin: Springer. Chap. 7.
    • (2009) Design and Control of Intelligent Robotic Systems, SCI 177 , pp. 145-165
    • Pugh, J.1    Martinoli, A.2
  • 30
    • 33745782974 scopus 로고    scopus 로고
    • Particle swarm optimization for unsupervised robotic learning
    • In New York: IEEE Press
    • Pugh, J., Zhang, Y., & Martinoli, A. (2005). Particle swarm optimization for unsupervised robotic learning. In Proc. of the IEEE swarm intelligence symposium (pp. 92-99). New York: IEEE Press.
    • (2005) Proc. of the IEEE Swarm Intelligence Symposium , pp. 92-99
    • Pugh, J.1    Zhang, Y.2    Martinoli, A.3
  • 33
    • 0003401114 scopus 로고    scopus 로고
    • Layered learning in multi-agent systems
    • Ph.D. thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
    • Stone, P. (1998). Layered learning in multi-agent systems. Ph.D. thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
    • (1998)
    • Stone, P.1
  • 34
    • 0034205975 scopus 로고    scopus 로고
    • Multiagent systems: A survey from a machine learning perspective
    • Stone, P., & Veloso, M. (2000). Multiagent systems: A survey from a machine learning perspective. Autonomous Robots, 8, 345-383.
    • (2000) Autonomous Robots , vol.8 , pp. 345-383
    • Stone, P.1    Veloso, M.2
  • 35
    • 0037197641 scopus 로고    scopus 로고
    • Embodied evolution: Distributing an evolutionary algorithm in a population of robots
    • Watson, R. A., Ficici, S. G., & Pollack, J. B. (2002). Embodied evolution: Distributing an evolutionary algorithm in a population of robots. Robotics and Autonomous Systems, 39, 1-18.
    • (2002) Robotics and Autonomous Systems , vol.39 , pp. 1-18
    • Watson, R.A.1    Ficici, S.G.2    Pollack, J.B.3
  • 36
    • 0037278069 scopus 로고    scopus 로고
    • A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance
    • Ye, C., Yung, N. H. C., & Wang, D. (2003). A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 33, 17-27.
    • (2003) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.33 , pp. 17-27
    • Ye, C.1    Yung, N.H.C.2    Wang, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.