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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

    Nick: Toyota has a robot biped with very impressive balance and running:

    Prof. Peyman Milanfar (UC Santa Cruz, EE Dept.)

    Nick: New Scientist has an article about using real/fake smiles for marketing purposes:

    Nick: Christoph Lampert’s student had the ECCV2008 Best Student Paper on efficient object localization:

    Andrew Ng new paper on Learning Sound Location from a Single Microphone

    Andrew Ng has new paper on Near-Bayesian Exploration in Polynomial Time

    Nick@CVPR: Jitendra Malik’s keynote argued vehemently against sliding windows. His method is slow but not bad. Maybe foveation can help.

    Nick@CVPR: HRL (formerly Hughes Research Lab) in Malibu does bio-inspired robots as a defense contractor & is interested in MPLab’s work.

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