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RRL researchers are presently exploring several promising avenues of
research in the areas of
intelligent machine vision and sensing, spatial planning and
navigation, asynchronous production systems, integration of knowledge
sources in distributed systems, and architectures for the control of
mobile robots. Furthermore, RRL focuses on implementing practical AMR systems.
Many of these projects have
involved collaboration with NASA, OakRidge National Laboratory, the Naval Research Laboratory, USL, the Air Force Institute of Technology (AFIT), Clemson University, and the US army topographic engineering
center. The research areas span a wide range of topics -
from real time systems to VLSI routing strategies - each is intimately
related to achieving the goal of building successful autonomous
intelligent systems.
- Advanced multi-level approach to image
analysis.
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Scientific
visualization.
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| Past & Present Affiliates |
- Dynamic scene analysis from multisensory
images.
- Image data compression based on wavelet
techniques.
- Distributed image computing in non-dedicated
heterogeneous environments.
- Image data and algorithm metrics for tactically
smart computations.
- Advanced image database systems.
- Global optimization techniques for computer
vision and learning neural networking problems.
- Advanced image database systems.
- Data mining.
- Data Warehousing.
- protein Folding Problem.
- Distributed Computing.
- Modeling Human Language Acquisition.
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