Contact Point Selection for Reaching Peter Battaglia and Paul Schrate
NEED TO UPDATE	SEE PUBLICATIONS

   Primary Investigator:

    Paul R. Schrater     

  Postdoctoral Researchers:

   Shawn Green

  Graduate Students:

   Peter Battaglia

     Vassilis Christopoulos

     Chris Kallie

     Matt Senjem

    Rashmi Sundareswara

     Amy Kalia

     Daniel Acuña

   Alumni:   

    Tom Carlson

     Steve Jensen

     Erik Schlicht

     Tony Scudiero

     Charles Sloane

     Harini Veeraraghavan

     Wolfgang Ketter

     Evangelos Theodorou

     Ben Yarger

    Eric Sodomka

The goals of the lab are threefold:

1) Develop predictive models of human behavior.  Specifically, the lab is interested in the integration of visual, haptic, auditory and motor information during the perception-action cycle.

2) Use pattern recognition methods that include Bayesian (Belief) Networks, Dynamic Markov Decision Networks, Pattern Theory, etc. to construct normative (optimal) solutions to perception & action problems faced by humans. The goal is to quantify the information available to a human agent and generate working  solutions to computer vision problems.

3) Develop an integrated haptic (touch) and visual Virtual Reality Laboratory to explore questions about how humans use visual and haptic information to perform tasks like reaching and grasping an object.

   

  Fall 2007: Statistical Pattern Recognition

  Spring 2008: (PSY 5018H) Math Models of Human Behavior

Reach Apparatus 

Phantom Haptic Robot/VR Set-up

Used Motoman SV3X robot arm Robot arm from RobotWorx