Oogway：为 RoboSub 2023 设计、实现与测试的一艘 AUV
机器人学
2024-10-16 v1
摘要
Duke Robotics Club 自豪地展示了我们为 2023 年 RoboSub 比赛设计的机器人：Oogway。Oogway 标志着俱乐部历史上最大规模的 design overhaul。除了全新的 computer vision software，还包括 advanced sonar integration、novel acoustics hardware processing，以及升级的 stereoscopic cameras。Oogway 建立在 independent, well-integrated, and reliable subsystems 原则之上。单独测试和设计了 individual components and subsystems。Oogway 最 advanced capabilities 的结果源于这些 subsystems 之间的 tight integration。这类例子包括 sonar-assisted computer vision algorithms 和通过机器人 3D model 配置的 robot-agnostic controls。构建和测试 Oogway 用 less than 2 年的时间成功归功于 20+ 贡献的 club members、supporters within Duke's Pratt School of Engineering，以及外部 sponsors。
关键词
引用
@article{arxiv.2410.10900,
title = {Oogway: Designing, Implementing, and Testing an AUV for RoboSub 2023},
author = {Will Denton and Lilly Chiavetta and Michael Bryant and Vedarsh Shah and Rico Zhu and Ricky Weerts and Phillip Xue and Vincent Chen and Hung Le and Maxwell Lin and Austin Camacho and Drew Council and Ethan Horowitz and Jackie Ong and Morgan Chu and Alex Pool},
journal= {arXiv preprint arXiv:2410.10900},
year = {2024}
}
备注
arXiv admin note: text overlap with arXiv:2410.09684