faculty: per - penn engineeringigert/images/2014poster.pdf · david brainard - visual perception...
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Humans’ remarkable abilities to perceive, navigate and interact with natural environments dramatically eclipse those of current robotic systems. Research connecting perception and robotics investigates
questions such as: How do humans recognize objects in natural scenes? How can we make a robot
recognize and pick up objects in a kitchen? How do humans and animals find their way around? How can we build a car that drives itself? Interdisciplinary research will enable new insights into the performance
of human and animal perception as well as the design of new algorithms that will enable robots to perceive and act in complex scenes.
Graduate traineeships, with support from the National Science Foundation’s Integrative Graduate Education and Research Training (IGERT) program, are available to qualified applicants to cover tuition
costs and to provide stipends of up to $30,000 per year for five years of graduate training leading to a Ph.D. in a relevant discipline. IGERT is a National Science Foundation program intended to meet
the challenges of educating U.S. Ph.D. scientists and engineers with the skills needed for the career demands of the future.
GRaDUaTE TRaINEESHIPS IN
PERcEPTIoN & RoboTIcS
University of Pennsylvania • PhiladelPhia, Pa
FoR moRE INFoRmaTIoN vISIT US aThttp://igert.perception.upenn.edu
FacULTY:
Geoffrey AGuirre- cortical organization
DAviD BrAinArD- visual Perception- computational modeling
JohAnnes BurGe - computational modeling - Perceptual Systems- vision
KostAs DAniiliDis- visual Navigation- Recognition
russell epstein- cognitive Neuroscience- Scene Perception and Navigation
JoshuA GolD- Neural basis of Decision making
MichAel KAhAnA- cognitive Neuroscience- memory
KAtherine KuchenBecKer- Haptics- Touch Perception- Robotics
viJAy KuMAr- Robotics- Dynamics- motor control
tiMothy lucAs- brain-computer Interface
JAvier MeDinA- Neural basis of motor Learning
nicole rust- Neural basis of object Recognition
JiAnBo shi- computer vision
viJAy BAlAsuBrAMAniAn- Theoretical and computational Neuroscience- Sensory Systems
yAle cohen- Neural basis of auditory objects
MAriA Geffen- auditory perception- computational audition
DAniel KoDitscheK- Robotics- computational Neuromechanics
DAniel lee- machine Learning- Robotics
isABel Muzzio- Neural basis of Declarative memory- Spatial Navigation
AlAn stocKer- visual Perception- computational vision
cAMillo J. tAylor- computer vision- vision Guided Robots
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