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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

    Javi: Here is a cute looking exercise robot from Japan

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

    Nick: For Einstein Demo startup we have found AppleScript & Automator useful. 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:

    Nick: Interesting study from Glasgow showing cultural differences in how faces are “read” for facial expressions:

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

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

    Nick: Sudoku Grab is an App that uses OpenCV to read a picture of a Sudoku puzzle and lets you play it on your iPhone:

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