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Our research focuses are
multi-modal robot perception,
robot vision, navigation, networked robots, and
stochastic modelling. We
develop and apply systems and algorithms drawn from probability models, optimization
theory, computational geometry, and control
theory to problems in domains of robotics
and automation. Our research has found many
applications including autonomous vehicles,
infrastructure inspection, natural environment
observation, distance learning,
surveillance, space exploration, and
manufacturing. We approach research problems
from both theoretical and experimental
perspectives. In other words, we enjoy
playing with math and building robots.
See
media reports about our research. |
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