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[1]
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Sattar, J., Giguère, P., and Dudek, G.
Sensor-based behavior control for an autonomous underwater vehicle.
International Journal of Robotics Research (IJRR), 2008.
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[2]
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Marinakis, D., and Dudek, G.
ccam’s razor applied to network topology inference.
IEEE Transactions on Robotics, April 2008, v. 24, n. 2,
pp. 293-306.
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[3]
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Torres-Méndez, L., and Dudek, G.
Inter-image statistics for 3d environment modeling.
International Journal of Computer Vision, August 2008, v. 79,
n. 2, pp. 137-158.
ISSN: 0920-5691.
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[4]
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Sattar, J., Dudek, G., Chiu, O., Rekleitis, I., Giguère, P., Mills, A.,
Plamondon, N., Prahacs, C., Girdhar, Y., Nahon, M., and Lobos, J.
Enabling autonomous capabilities in underwater robotics.
Proceedings of the IEEE/RSJ International Conference on
Intelligent Robot and Systems, (IROS), September 2008.
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[5]
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Sattar, J., and Dudek, G.
A boosting approach to visual servo-control of an underwater robot.
Proceedings of the 11th International Symposium on Experimental
Robotics (ISER), July 2008.
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[6]
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Xu, A., Dudek, G., and Sattar, J.
A natural gesture interface for operating robotic systems.
International Conference of Robotics and Automation (ICRA), May
2008, pp. 3557-3563.
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[7]
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Meger, D., Rekleitis, I., and Dudek, G.
Heuristic search planning to reduce exploration uncertainty.
RSJ International Conference on Intelligent Robots and Systems
(IROS), September 2008, pp. 3382-3399.
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[8]
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Sattar, J., Dudek, G., Chiu, O., Rekleitis, I., Giguère, P., Mills, A.,
Plamondon, N., Prahacs, C., Girdhar, Y., Nahon, M., and Lobos, J.
Enabling autonomous capabilities in underwater robotics.
RSJ International Conference on Intelligent Robots and Systems
(IROS), September 2008, pp. 3628-3634.
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[9]
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Dudek, G.
Digital Television at Home.
YID Books, 2008.
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[10]
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Rao, M., Dudek, G., and Whitesides, S.
Randomized algorithms for minimum distance localization.
The International Journal of Robotics Research, 2007, v. 26,
n. 9, pp. 917-933.
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[11]
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Marinakis, D., and Dudek, G.
Occam's razor applied to network topology inference.
IEEE Transactions on Robotics, 2007.
In Press.
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[12]
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Johns, D., and Dudek, G.
Urban horizon extraction and representation for position estimation
using high-compact representations.
Image and Vision Computing, 2007.
In Press.
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[13]
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Marinakis, D., and Dudek, G.
Topology inference for a vision-based sensor network.
Image and Vision Computing, 2007.
In Press.
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[14]
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Dudek, G., Giguere, P., Prahacs, C., Saunderson, S., Sattar, J., Torres-Mendez,
L.-A., Jenkin, M., German, A., Hogue, A., Ripsman, A., Zacher, J., Milios,
E., Liu, H., Zhang, P., Buehler, M., and Georgiades, C.
Aqua: An amphibious autonomous robot.
IEEE Computer, January 2007, v. 40, n. 1, pp. 45-63.
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[15]
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Marinakis, D., Meger, D., Rekleitis, I., and Dudek, G.
Hybrid inference for sensor network localization using a mobile
robot.
In Proceedings of the National Conference on Artificial
Intelligence (AAAI), Vancouver, Canada. July 2007.
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[16]
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Dudek, G., and Marinakis, D.
Topological mapping with weak sensory data.
In Proceedings of the National Conference on Artificial
Intelligence (AAAI), Vancouver, Canada. July 2007.
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[17]
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Dudek, G., Sattar, J., and and, A. X.
A visual language for robot control and programming: A
human-interface study.
In Proceedings of the IEEE International Conference of Robotics
and Automation (ICRA), Rome, Italy. April 2007, pp. 2507-2513.
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[18]
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Marinakis, D., Giguere, P., and Dudek, G.
Learning network topology from simple sensor data.
In Presented at the 20th Canadian Conference on Artificial
Intelligence, Montreal, Canada. May 2007.
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[19]
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Marinakis, D., and Dudek, G.
Topological mapping through distributed, passive sensors.
In Proceedings of the International Joint Conference on
Artificial Intelligence (IJCAI07), Hyderabad, India. January 2007,
pp. 2147-2152.
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[20]
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Marinakis, D., Meger, D., Rekleitis, I., and Dudek, G.
Markov chain monte-carlo inference for hybrid sensor network pose
estimation.
Proceedings of the Twenty-Second AAAI Conference on Artificial
Intelligence (AAAI-07), July 2007, pp. 1089-1094.
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[21]
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Sattar, J., Bourque, E., Giguere, P., and Dudek, G.
Fourier tags: Smoothly degradable fiducial markers for use in
human-robot interaction.
In Proceedings of the Canadian Conference on Computer and Robot
Vision (CRV06), Quebec City, Quebec. June 2006, pp. 22-29.
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