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The goal of the MPLab is to develop systems that perceive and interact with humans in real time using natural communication channels. To this effect we are developing perceptual primitives to detect and track human faces and to recognize facial expressions. We are also developing algorithms for robots that develop and learn to interact with people on their own. Applications include personal robots, perceptive tutoring systems, and system for clinical assessment, monitoring, and intervention.

  • Introduction to the MPLab (PDF)
  • MPLAB 5 Year Progress Report (PDF)

  • NEWS


    Paper on towel folding robot http://www.cs.berkeley.edu/~pabbeel/papers/Maitin-ShepardCusumano-TownerLeiAbbeel_ICRA2010.pdf

    Willow Garage Robot Folding Towels http://bit.ly/b6HfdU

    Smart Phones for Teaching Algebra http://bit.ly/b1JdlZ

    Information Seeking Neurons http://www.cell.com/neuron/retrieve/pii/S0896627309004620

    Emot Aware Tutoring System http://bit.ly/7e6qX9

    From Harper’s Magazine “Yearly Review”, “Scientists [Tingfan Wu and Javier Movellan] in San Diego made a robot head study itself in a mirror until it learned to smile”

    ICDL: August 18-21 2010. University of Michingan. Ann Arbor. http://www.icdl-2010.org

    Head mounted cameras for polce officers: http://www.mercurynews.com/ci_14030412


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