Autonomous Searhc in Complex Spaces

摘要

The search for information in a compelx systems space - such as the Web or large digital libraries, or in an unkown robotics environment - requires the design of efficient and intelligent strategies for (1) determining regions of interest using a variety of sensors, (2) detecting and classifying objects of interest, nad (3) searching the space by autonomous agents. Thsi paepr discusses strategies for directing autonomous search based on spatio-temporal distributions. We discuss a model for search assuming that the environment is static, except for hte effect of identifying object locations. Algorithms are designed and compared for autonomously directing a robot.