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Christopher G. Atkeson: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gregory D. Abowd, Christopher G. Atkeson, Jason A. Brotherton, Tommy Enqvist, Paul Gulley, Johan LeMon
    Investigating the Capture, Integration and Access Problem of Ubiquitous Computing in an Educational Setting. [Citation Graph (0, 0)][DBLP]
    CHI, 1998, pp:440-447 [Conf]
  2. Scott E. Hudson, James Fogarty, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, Jie Yang
    Predicting human interruptibility with sensors: a Wizard of Oz feasibility study. [Citation Graph (0, 0)][DBLP]
    CHI, 2003, pp:257-264 [Conf]
  3. Amy Hurst, John Zimmerman, Christopher G. Atkeson, Jodi Forlizzi
    The sense lounger: establishing a ubicomp beachhead in elders' homes. [Citation Graph (0, 0)][DBLP]
    CHI Extended Abstracts, 2005, pp:1467-1470 [Conf]
  4. Cory D. Kidd, Robert Orr, Gregory D. Abowd, Christopher G. Atkeson, Irfan A. Essa, Blair MacIntyre, Elizabeth D. Mynatt, Thad Starner, Wendy Newstetter
    The Aware Home: A Living Laboratory for Ubiquitous Computing Research. [Citation Graph (0, 0)][DBLP]
    CoBuild, 1999, pp:191-198 [Conf]
  5. Christopher G. Atkeson, Stefan Schaal
    Robot Learning From Demonstration. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:12-20 [Conf]
  6. Ales Ude, Christopher G. Atkeson
    Probabilistic Detection and Tracking at High Frame Rates Using Affine Warping. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:6-9 [Conf]
  7. Darrin C. Bentivegna, Christopher G. Atkeson
    Learning From Observation Using Primitives. [Citation Graph (0, 0)][DBLP]
    ICRA, 2001, pp:1988-1993 [Conf]
  8. Nancy S. Pollard, Jessica K. Hodgins, Marcia Riley, Christopher G. Atkeson
    Adapting Human Motion for the Control of a Humanoid Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2002, pp:1390-1397 [Conf]
  9. Marcia Riley, Ales Ude, Keegan Wade, Christopher G. Atkeson
    Enabling real-time full-body imitation: a natural way of m-ansferring human movement to humanoids. [Citation Graph (0, 0)][DBLP]
    ICRA, 2003, pp:2368-2374 [Conf]
  10. Stefan Schaal, Christopher G. Atkeson
    Open Loop Stable Control Strategies for Robot Juggling. [Citation Graph (0, 0)][DBLP]
    ICRA (3), 1993, pp:913-918 [Conf]
  11. Stefan Schaal, Christopher G. Atkeson
    Memory-Based Robot Learning. [Citation Graph (0, 0)][DBLP]
    ICRA, 1994, pp:2928-2933 [Conf]
  12. Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
    Real-Time Robot Learning with Locally Weighted Statistical Learning. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:288-293 [Conf]
  13. Ales Ude, Christopher G. Atkeson, Marcia Riley
    Planning of Joint Trajectories for Humanoid Robots Using B-Spline Wavelets. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:2223-2228 [Conf]
  14. Gregory D. Abowd, Christopher G. Atkeson, Ami Feinstein, Cindy E. Hmelo, Rob Kooper, Sue Long, Nitin "Nick" Sawhney, Mikiya Tani
    Teaching and Learning as Multimedia Authoring: The Classroom 2000 Project. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 1996, pp:187-198 [Conf]
  15. Sue Long, Rob Kooper, Gregory D. Abowd, Christopher G. Atkeson
    Rapid Prototyping of Mobile Context-Aware Applications: The Cyberguide Case Study. [Citation Graph (0, 0)][DBLP]
    MOBICOM, 1996, pp:97-107 [Conf]
  16. Christopher G. Atkeson
    Using Local Models to Control Movement. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:316-323 [Conf]
  17. Christopher G. Atkeson
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:663-670 [Conf]
  18. Christopher G. Atkeson
    Nonparametric Model-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  19. Christopher G. Atkeson, Jun Morimoto
    Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1611-1618 [Conf]
  20. Sherif M. Botros, Christopher G. Atkeson
    Generalization Properties of Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:707-713 [Conf]
  21. Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore
    Memory-Based Methods for Regression and Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1165-1166 [Conf]
  22. Andrew W. Moore, Christopher G. Atkeson
    Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:263-270 [Conf]
  23. Jun Morimoto, Christopher G. Atkeson
    Minimax Differential Dynamic Programming: An Application to Robust Biped Walking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1539-1546 [Conf]
  24. Stefan Schaal, Christopher G. Atkeson
    Assessing the Quality of Learned Local Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:160-167 [Conf]
  25. Stefan Schaal, Christopher G. Atkeson
    From Isolation to Cooperation: An Alternative View of a System of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:605-611 [Conf]
  26. Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson
    Local Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  27. Ying Zhao, Christopher G. Atkeson
    Some Approximation Properties of Projection Pursuit Learning Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:936-943 [Conf]
  28. D. H. Wilson, Christopher G. Atkeson
    Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors. [Citation Graph (0, 0)][DBLP]
    Pervasive, 2005, pp:62-79 [Conf]
  29. Darrin C. Bentivegna, Christopher G. Atkeson
    A Framework for Learning from Observation Using Primitives. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:263-270 [Conf]
  30. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:11-73 [Journal]
  31. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning for Control. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:75-113 [Journal]
  32. Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
    Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:17, n:1, pp:49-60 [Journal]
  33. Ales Ude, Christopher G. Atkeson
    Online tracking and mimicking of human movements by a humanoid robot. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2003, v:17, n:2, pp:165-178 [Journal]
  34. Marcia Riley, Christopher G. Atkeson
    Robot Catching: Towards Engaging Human-Humanoid Interaction. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2002, v:12, n:1, pp:119-128 [Journal]
  35. Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato
    Using Humanoid Robots to Study Human Behavior. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2000, v:15, n:4, pp:46-56 [Journal]
  36. Christopher G. Atkeson, Stefan Schaal
    Memory-based neural networks for robot learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1995, v:9, n:3, pp:243-269 [Journal]
  37. Andrew W. Moore, Christopher G. Atkeson
    Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:13, n:, pp:103-130 [Journal]
  38. Andrew W. Moore, Christopher G. Atkeson
    The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1995, v:21, n:3, pp:199-233 [Journal]
  39. Stefan Schaal, Christopher G. Atkeson
    Constructive Incremental Learning from Only Local Information. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:8, pp:2047-2084 [Journal]
  40. Darrin C. Bentivegna, Christopher G. Atkeson, Gordon Cheng
    Learning tasks from observation and practice. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:163-169 [Journal]
  41. Ales Ude, Christopher G. Atkeson, Marcia Riley
    Programming full-body movements for humanoid robots by observation. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:93-108 [Journal]
  42. Ales Ude, Tomohiro Shibata, Christopher G. Atkeson
    Real-time visual system for interaction with a humanoid robot. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2001, v:37, n:2-3, pp:115-125 [Journal]
  43. James Fogarty, Scott E. Hudson, Christopher G. Atkeson, Daniel Avrahami, Jodi Forlizzi, Sara B. Kiesler, Johnny C. Lee, Jie Yang
    Predicting human interruptibility with sensors. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Comput.-Hum. Interact., 2005, v:12, n:1, pp:119-146 [Journal]
  44. Gregory D. Abowd, Christopher G. Atkeson, Jason I. Hong, Sue Long, Rob Kooper, Mike Pinkerton
    Cyberguide: A mobile context-aware tour guide. [Citation Graph (0, 0)][DBLP]
    Wireless Networks, 1997, v:3, n:5, pp:421-433 [Journal]
  45. Jun Morimoto, Gordon Cheng, Christopher G. Atkeson, Garth Zeglin
    A Simple Reinforcement Learning Algorithm for Biped Walking. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:3030-3035 [Conf]
  46. Mike Stilman, Christopher G. Atkeson, James Kuffner, Garth Zeglin
    Dynamic Programming in Reduced Dimensional Spaces: Dynamic Planning For Robust Biped Locomotion. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:2399-2404 [Conf]
  47. Jun Morimoto, Jun Nakanishi, Gen Endo, Gordon Cheng, Christopher G. Atkeson, Garth Zeglin
    Poincaré-Map-Based Reinforcement Learning For Biped Walking. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:2381-2386 [Conf]

  48. Policies based on Trajectory Libraries. [Citation Graph (, )][DBLP]


  49. Modulation of Simple Sinusoidal Patterns by a Coupled Oscillator Model for Biped Walking. [Citation Graph (, )][DBLP]


  50. Low-dimensional feature extraction for humanoid locomotion using kernel dimension reduction. [Citation Graph (, )][DBLP]


  51. CB: Exploring neuroscience with a humanoid research platform. [Citation Graph (, )][DBLP]


  52. An optimization approach to rough terrain locomotion. [Citation Graph (, )][DBLP]


  53. Random Sampling of States in Dynamic Programming. [Citation Graph (, )][DBLP]


  54. Learning from Observation and from Practice Using Behavioral Primitives. [Citation Graph (, )][DBLP]


  55. Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression. [Citation Graph (, )][DBLP]


  56. Transfer of policies based on trajectory libraries. [Citation Graph (, )][DBLP]


  57. Learning Similar Tasks From Observation and Practice. [Citation Graph (, )][DBLP]


  58. Robots with inflatable links. [Citation Graph (, )][DBLP]


  59. Standing balance control using a trajectory library. [Citation Graph (, )][DBLP]


  60. Nonparametric representation of an approximated Poincaré map for learning biped locomotion. [Citation Graph (, )][DBLP]


  61. Finding and transferring policies using stored behaviors. [Citation Graph (, )][DBLP]


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