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Odest Chadwicke Jenkins: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Weber, Maja J. Mataric, Odest Chadwicke Jenkins
    Experiments in imitation using perceptuo-motor primitives. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:136-137 [Conf]
  2. Odest Chadwicke Jenkins, Maja J. Mataric
    Automated derivation of behavior vocabularies for autonomous humanoid motion. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:225-232 [Conf]
  3. Chi-Wei Chu, Odest Chadwicke Jenkins, Maja J. Mataric
    Markerless Kinematic Model and Motion Capture from Volume Sequences. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2003, pp:475-482 [Conf]
  4. Odest Chadwicke Jenkins, Maja J. Mataric
    A spatio-temporal extension to Isomap nonlinear dimension reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Odest Chadwicke Jenkins, German González, Matthew Maverick Loper
    Tracking human motion and actions for interactive robots. [Citation Graph (0, 0)][DBLP]
    HRI, 2007, pp:365-372 [Conf]
  6. Edwin Chang, Odest Chadwicke Jenkins
    Sketching articulation and pose for facial animation. [Citation Graph (0, 0)][DBLP]
    Symposium on Computer Animation, 2006, pp:271-280 [Conf]
  7. Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
    Automated Derivation of Primitives for Movement Classification. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2002, v:12, n:1, pp:39-54 [Journal]
  8. Michael Katzourin, Daniel Ignatoff, Lincoln Quirk, Joseph J. LaViola Jr., Odest Chadwicke Jenkins
    Swordplay: Innovating Game Development through VR. [Citation Graph (0, 0)][DBLP]
    IEEE Computer Graphics and Applications, 2006, v:26, n:6, pp:15-19 [Journal]
  9. Daniel H. Grollman, Odest Chadwicke Jenkins
    Dogged Learning for Robots. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2483-2488 [Conf]
  10. Evan Drumwright, Odest Chadwicke Jenkins, Maja J. Mataric
    Exemplar-based Primitives for Humanoid Movement Classification and Control. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:140-145 [Conf]

  11. Multi-robot Markov random fields. [Citation Graph (, )][DBLP]

  12. Physical simulation for probabilistic motion tracking. [Citation Graph (, )][DBLP]

  13. Sparse incremental learning for interactive robot control policy estimation. [Citation Graph (, )][DBLP]

  14. Mobile human-robot teaming with environmental tolerance. [Citation Graph (, )][DBLP]

  15. The oz of wizard: simulating the human for interaction research. [Citation Graph (, )][DBLP]

  16. Neighborhood denoising for learning high-dimensional grasping manifolds. [Citation Graph (, )][DBLP]

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