Contact Point Selection for Reaching Peter Battaglia and Paul Schrate
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   Primary Investigator:

 Paul R. Schrater     

  Postdoctoral Researchers:

   Shawn Green

  Graduate Students:

 Daniel Acuña

Charlie Benson

Vassilis Christopoulos

Chris Kallie

Amy Kalia

   Alumni:   

Peter Battaglia    

Tom Carlson

Steve Jensen

Erik Schlicht

Matt Senjem

Rashmi Sundareswara

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.

Recent Courses

Equipment

Reach Apparatus 

Phantom Haptic Robot/VR Set-up

Used Motoman SV3X robot arm Robot arm from RobotWorx