RESEARCH

OUR RESEARCH FIELDS


  • Robotics and uncertainity: programming
  • Unsupervised, reinforcement and supervised learning programming
  • Environment robotic interactions models and distributions
  • Decision theories, parametric, nonparametric and multivariate methods
  • Gaussian and nonparametric filters algorithms
  • Dimensionality reduction and clustering programming
  • Robot motion programming
  • Perception algorithms
  • Training multilayer perceptrons: Neural networks and Parallel Processing
  • Localization Algorithms
  • Mapping: SLAM implementations
  • Competitive learning and kernel machines programming
  • Graphical models implementation
  • Machine Learning advanced programming
  • Arduino robotics
PARTNERS





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If you would like to partner with us, contact us at info@strongartificialintelligence.com and one of our staff members will get back to you.