Corpus ID: 198179831

Hidden Markov Models derived from Behavior Trees

  title={Hidden Markov Models derived from Behavior Trees},
  author={B. Hannaford},
  • 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. 
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