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
