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http://arks.princeton.edu/ark:/88435/dsp01gh93h225qFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Thompson, Jeffrey | - |
| dc.contributor.author | Whitlow, Jacob | - |
| dc.contributor.author | Grosswiler, Leif | - |
| dc.contributor.author | Sivakumar, Kavinayan | - |
| dc.date.accessioned | 2018-08-20T13:59:05Z | - |
| dc.date.available | 2018-08-20T13:59:05Z | - |
| dc.date.created | 2018-05-02 | - |
| dc.date.issued | 2018-08-20 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01gh93h225q | - |
| dc.description.abstract | This project aims to build a multi-agent task allocation system that operates in a maze environment. Three rovers will use the G-DICE algorithm, aided by a drone, within a Dec-POSMDP framework to find the best strategies to navigate the maze and solve all tasks efficiently. This problem can be generalized to real-world applications such as warehouse management. In summary, this project demonstrates an implementation of a task-allocation policy in hardware, within reasonable bounds of reliability. | en_US |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en | en_US |
| dc.title | Goal-Oriented, Multi-Agent Task Allocation System | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2018 | en_US |
| pu.department | Electrical Engineering | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| pu.contributor.authorid | 960961656 | - |
| pu.certificate | Applications of Computing Program | en_US |
| pu.certificate | Robotics & Intelligent Systems Program | en_US |
| Appears in Collections: | Electrical Engineering, 1932-2020 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| WHITLOW-JACOB-THESIS-etal.pdf | 1.76 MB | Adobe PDF | Request a copy |
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