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Autonomous Robotics
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Dr. Kanade’s
research in vision has led to several advances in sensory equipment for
autonomous mobile robots, that sense and navigate
their environment free of human intervention. One project was the development
of the Autonomous Land Vehicle in a Neural Network, or ALVINN [46pp].
This system provides a robotic learning mechanism that allows a vehicle to be
trained to drive independently of human control. The successful creation of a
chip for high speed processing of images and computation required for
successful navigation, known as ALVINN On a Chip [7pp], further
enhanced the project. Dr. Kanade
has also worked extensively on navigation and
interpretation [34pp], closely related to the work for the ALVINN Project, which
focuses on methods to combine computational data and image processing,
creating better visual sensing methods. Kanade’s
research in autonomous robotics also led to the development of sensory
equipment for identification of rock samples [1p] for
planetary explorers on Earth and in space. Dr. Kanade
is currently collaborating on the development of an autonomous helicopter [1p] at Carnegie Mellon,
which would allow for helicopters to undertake tasks that are too dangerous
for human pilots to execute. Search and rescue, fire prevention, and
intelligence gathering could now be preformed independent of pilots, and
greatly enhance the versatility of these aircraft. For further information
visit the helicopter lab’s homepage at http://www.cs.cmu.edu/afs/cs/project/chopper/www/. |
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J. Dustin Williams, University/Heinz Archivist, Carnegie Mellon University
http://diva.library.cmu.edu/Kanade/kanadeauto.html
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