Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"search planning"”.
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An Adaptive Approach to Optimal Sparse Mobile-target Search Planning using Heterogeneous Agents
Planning an effective search for locating mobile-targets is essential in a variety of scenarios (e.g., search and rescue, environmental monitoring, law enforcement, etc.). Effective planning is especially important when resources are sparse (i.e., they are insufficient to search a significant …
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Robotic Search Planning In Large Environments with Limited Computational Resources and Unreliable Communications
This work is inspired by robotic search applications where a robot or team of robots is equipped with sensors and tasked to autonomously acquire as much information as possible from a region of interest. To accomplish this task, robots must plan paths through the region of interest that maximize …
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A factored planner for the temporal coordination of autonomous systems
… systems require automated coordination, but planning for and controlling these systems pose unique challenges. Devices can exhibit stateful, timed, and periodic behavior. A washing machine transitions automatically between its wash cycles while locking its door accordingly. The interaction …
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KidsQuestions: Assisting Children’s Digital Information Seeking
… be beneficial for children’s digital information search. This thesis verifies this hypothesis by considering the example of the New Zealand education system. Within this context, a requirements analysis is undertaken involving children, parents, and teachers. Through a range of user studies, we …
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Semi-conditional planners for efficient planning under uncertainty with macro-actions
Planning in large, partially observable domains is challenging, especially when good performance requires considering situations far in the future. Existing planners typically construct a policy by performing fully conditional planning, where each future action is conditioned on a set of possible …