will present UTRC’s research initiative in Autonomous and
Intelligent Systems with an emphasis on complex human/machine intelligent
systems including unmanned rotorcraft. The research, conducted by a diverse
team of researchers in dynamical systems, control, applied mathematics,
computer vision, and embedded systems (in partnership with several leading
universities including CMU, MIT, Caltech, and BU) includes:
algorithms for dynamic collision avoidance in an obstacle-rich environment
using probabilistic roadmaps.
missions including efficient search algorithms based on ergodic theory methods.
navigation with imperfect and intermittent sensors in GPS degraded
system design methodology including architectures for autonomy, formal
verification, and stochastic planners.
will present research problems of interest to UTRC and discuss existing and
future career opportunities in the broad area of robotics, with particular
focus on perception, machine intelligence, and human-machine interaction.