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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.10900 |
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| _version_ | 1866929541523439616 |
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| author | Denton, Will Chiavetta, Lilly Bryant, Michael Shah, Vedarsh Zhu, Rico Weerts, Ricky Xue, Phillip Chen, Vincent Le, Hung Lin, Maxwell Camacho, Austin Council, Drew Horowitz, Ethan Ong, Jackie Chu, Morgan Pool, Alex |
| author_facet | Denton, Will Chiavetta, Lilly Bryant, Michael Shah, Vedarsh Zhu, Rico Weerts, Ricky Xue, Phillip Chen, Vincent Le, Hung Lin, Maxwell Camacho, Austin Council, Drew Horowitz, Ethan Ong, Jackie Chu, Morgan Pool, Alex |
| contents | The Duke Robotics Club is proud to present our robot for the 2023 RoboSub Competition: Oogway. Oogway marks one of the largest design overhauls in club history. Beyond a revamped formfactor, some of Oogway's notable features include all-new computer vision software, advanced sonar integration, novel acoustics hardware processing, and upgraded stereoscopic cameras. Oogway was built on the principle of independent, well-integrated, and reliable subsystems. Individual components and subsystems were tested and designed separately. Oogway's most advanced capabilities are a result of the tight integration between these subsystems. Such examples include sonar-assisted computer vision algorithms and robot-agnostic controls configured in part through the robot's 3D model. The success of constructing and testing Oogway in under 2 year's time can be attributed to 20+ contributing club members, supporters within Duke's Pratt School of Engineering, and outside sponsors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_10900 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023 Denton, Will Chiavetta, Lilly Bryant, Michael Shah, Vedarsh Zhu, Rico Weerts, Ricky Xue, Phillip Chen, Vincent Le, Hung Lin, Maxwell Camacho, Austin Council, Drew Horowitz, Ethan Ong, Jackie Chu, Morgan Pool, Alex Robotics The Duke Robotics Club is proud to present our robot for the 2023 RoboSub Competition: Oogway. Oogway marks one of the largest design overhauls in club history. Beyond a revamped formfactor, some of Oogway's notable features include all-new computer vision software, advanced sonar integration, novel acoustics hardware processing, and upgraded stereoscopic cameras. Oogway was built on the principle of independent, well-integrated, and reliable subsystems. Individual components and subsystems were tested and designed separately. Oogway's most advanced capabilities are a result of the tight integration between these subsystems. Such examples include sonar-assisted computer vision algorithms and robot-agnostic controls configured in part through the robot's 3D model. The success of constructing and testing Oogway in under 2 year's time can be attributed to 20+ contributing club members, supporters within Duke's Pratt School of Engineering, and outside sponsors. |
| title | Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023 |
| topic | Robotics |
| url | https://arxiv.org/abs/2410.10900 |