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)
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    NEWS


    Javi: Target Article on the ethics of Robot Nanies http://bit.ly/1KW0HX

    Javi: Here is a cute looking exercise robot from Japan http://www.generalrobotix.com/product/taizo/demo.htm

    Nick: Here is an example of how to parallelize a data-parallel C for-loop in OSX 10.6 with Grand Central Dispatch: http://bit.ly/Drqql

    Nick: For Einstein Demo startup we have found AppleScript & Automator useful. http://www.macosxautomation.com/ has good tutorials for both.

    Nick: OSX 10.6 is released Friday with a big push for OpenCL, which could make our programs much faster: http://bit.ly/n2Mgn

    Nick: Interesting study from Glasgow showing cultural differences in how faces are “read” for facial expressions: http://bit.ly/19Gqsg

    Nick: The Mac command-line program “say” can be used for text-to-speech. We may want to use this for Einstein/tutoring. http://bit.ly/Z6eoF

    Nick: Pascal Poupart’s minimally sufficient explanations give reasons why a policy’s actions are better than all other actions in a state.
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