Corpus ID: 198179831

Hidden Markov Models derived from Behavior Trees

@article{Hannaford2019HiddenMM,
  title={Hidden Markov Models derived from Behavior Trees},
  author={B. Hannaford},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.10029}
}
  • B. Hannaford
  • Published 2019
  • Computer Science
  • ArXiv
  • Behavior trees are rapidly attracting interest in robotics and human task-related motion tracking. However no algorithms currently exist to track or identify parameters of BTs under noisy observations. We report a new relationship between BTs, augmented with statistical information, and Hidden Markov Models. Exploiting this relationship will allow application of many algorithms for HMMs (and dynamic Bayesian networks) to data acquired from BT-based systems. 
    3 Citations

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    References

    SHOWING 1-10 OF 29 REFERENCES
    Hidden Markov model approach to skill learning and its application to telerobotics
    • 197
    • PDF
    Skill acquisition from human demonstration using a hidden Markov model
    • 165
    ARGMode - Activity Recognition using Graphical Models
    • 60
    • PDF
    An Introduction to Hidden Markov Models and Bayesian Networks
    • Zoubin Ghahramani
    • Mathematics, Computer Science
    • Int. J. Pattern Recognit. Artif. Intell.
    • 2001
    • 678
    • PDF
    Hidden Markov models of biological primary sequence information.
    • 488
    • PDF
    Performance analysis of stochastic behavior trees
    • 33
    • PDF
    Mixture autoregressive hidden Markov models for speech signals
    • B. Juang, L. Rabiner
    • Mathematics, Computer Science
    • IEEE Trans. Acoust. Speech Signal Process.
    • 1985
    • 325
    • PDF
    Towards a unified behavior trees framework for robot control
    • 106
    • PDF