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Welcome!
Our research areas are:
Computational
models of touch sensation
neuronal
signals underlie the sense of touch;
without this feedback, tasks such as picking up a
glass would be virtually impossible.
Our lab seeks to understand how populations of touch-sensitive
mechanoreceptors in the skin encode an object's
features into neuronal signals. Our goals are to
advance neural prosthetics and surgical
robots.
methodological
tools: solid mechanics models
statistical
and
differential equations
systems
modeling and data mining
psychophysical
experiments
Medical
simulators
the design, construction
and evaluation of medical simulators for
training
doctors to detect palpable breast and prostate cancers and conduct
exams, such as chest tube
insertion.
methodological
tools task and work domain
analysis.
custom-build
electronics, user interfaces, silicone-elastomers
graphics programming of
force feedback in 3D virtual reality
design of
experiments and statistical analysis
models to
predict performance
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