Research
We like to think of our various research projects grouped by
the experimental systems that we build. We pride ourselves in our
systems-based approach for developing the systems that we research.
The following is a list
of the projects that we have developed or are researching in the Robotic
and Vision Systems Laboratory.
AutoColor
AutoColor is a vision system which monitors individual vehicles
throughout entire road networks.
Phaeton
Phaeton is a mobile robot system which explores a video-based
command interaction between a human operator and a robot.
Graspar
Graspar is a robot hand and arm system which can reach out and
grasp objects without forming detailed models of the object that the
robot is grasping.
Lobster
Lobster is system which has adapted a
biologically-based ambulation control of lobsters to motor control
for robotic walking. We have been integrating into a multiple robotic
system which can be used for shallow water mine clearing.
Road Detection
We have been working on color-based road detection vision systems
which use simple and fast color models to find pixels lying on the
road surface.
Panacea
We have been collecting the knowledge that we have gained in the
development of our experimental systems in order to develop a modular
interface to various robotic and sensory devices and software. This
will help future robotics and vision systems developers to more quickly
integrate devices and develop systems.