These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


253 related items for PubMed ID: 19696001

  • 21.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 22. Cerebellar-inspired adaptive control of a robot eye actuated by pneumatic artificial muscles.
    Lenz A, Anderson SR, Pipe AG, Melhuish C, Dean P, Porrill J.
    IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1420-33. PubMed ID: 19369158
    [Abstract] [Full Text] [Related]

  • 23.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 24.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 25. A spiking neural network model of an actor-critic learning agent.
    Potjans W, Morrison A, Diesmann M.
    Neural Comput; 2009 Feb; 21(2):301-39. PubMed ID: 19196231
    [Abstract] [Full Text] [Related]

  • 26.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 27.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 28. Human-robot skills transfer interfaces for a flexible surgical robot.
    Calinon S, Bruno D, Malekzadeh MS, Nanayakkara T, Caldwell DG.
    Comput Methods Programs Biomed; 2014 Sep; 116(2):81-96. PubMed ID: 24491285
    [Abstract] [Full Text] [Related]

  • 29. Adaptive dynamic programming approach to experience-based systems identification and control.
    Lendaris GG.
    Neural Netw; 2009 Sep; 22(5-6):822-32. PubMed ID: 19632087
    [Abstract] [Full Text] [Related]

  • 30. Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation.
    Fung WK, Liu YH.
    Neural Netw; 2003 Dec; 16(10):1403-20. PubMed ID: 14622873
    [Abstract] [Full Text] [Related]

  • 31. Online learning of virtual impedance parameters in non-contact impedance control using neural networks.
    Tsuji T, Terauchi M, Tanaka Y.
    IEEE Trans Syst Man Cybern B Cybern; 2004 Oct; 34(5):2112-8. PubMed ID: 15503506
    [Abstract] [Full Text] [Related]

  • 32.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 33. Composite adaptive control with locally weighted statistical learning.
    Nakanishi J, Farrell JA, Schaal S.
    Neural Netw; 2005 Jan; 18(1):71-90. PubMed ID: 15649663
    [Abstract] [Full Text] [Related]

  • 34. Robotics, motor learning, and neurologic recovery.
    Reinkensmeyer DJ, Emken JL, Cramer SC.
    Annu Rev Biomed Eng; 2004 Jan; 6():497-525. PubMed ID: 15255778
    [Abstract] [Full Text] [Related]

  • 35. Experimental analysis of mobile-robot teleoperation via shared impedance control.
    Janabi-Sharifi F, Hassanzadeh I.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):591-606. PubMed ID: 20937582
    [Abstract] [Full Text] [Related]

  • 36. Codevelopmental learning between human and humanoid robot using a dynamic neural-network model.
    Tani J, Nishimoto R, Namikawa J, Ito M.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):43-59. PubMed ID: 18270081
    [Abstract] [Full Text] [Related]

  • 37. The Intelligent Path Planning System of Agricultural Robot via Reinforcement Learning.
    Yang J, Ni J, Li Y, Wen J, Chen D.
    Sensors (Basel); 2022 Jun 07; 22(12):. PubMed ID: 35746099
    [Abstract] [Full Text] [Related]

  • 38. Computational motor control in humans and robots.
    Schaal S, Schweighofer N.
    Curr Opin Neurobiol; 2005 Dec 07; 15(6):675-82. PubMed ID: 16271466
    [Abstract] [Full Text] [Related]

  • 39.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 40.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]


    Page: [Previous] [Next] [New Search]
    of 13.