We are investigating both theoretical and practical aspects of robots, including aerial, underwater, space, and terrestrial systems. Key areas include: 1) integration of strategic and tactical planning and optimization algorithms to enable robust robot control in the presence of system failures and environmental uncertainties; 2) simultaneous localization and mapping for mobile robots; 3) sensor processing algorithms, including feature matching, object detection, classification, and recognition; 4) AI methods from machine learning, cognitive architectures and multiagent systems to build autonomous robots.|
Durfee, Edmund H
Laird, John E.
Related Labs, Centers, and Groups
APRIL Robotics Laboratory
Ground Robotics Research Consortium
PeRL: The Perceptual Robotics Laboratory