Franchi Matteo, Fanelli Francesco, Bianchi Matteo, Ridolfi Alessandro, Allotta Benedetto
Department of Industrial Engineering, University of Florence, Florence, Italy.
Interuniversity Center of Integrated Systems for the Marine Environment, Genoa, Italy.
Front Robot AI. 2020 Jan 31;7:3. doi: 10.3389/frobt.2020.00003. eCollection 2020.
Underwater robots are nowadays employed for many different applications; during the last decades, a wide variety of robotic vehicles have been developed by both companies and research institutes, different in shape, size, navigation system, and payload. While the market needs to constitute the real benchmark for commercial vehicles, novel approaches developed during research projects represent the standard for academia and research bodies. An interesting opportunity for the performance comparison of autonomous vehicles lies in robotics competitions, which serve as an useful testbed for state-of-the-art underwater technologies and a chance for the constructive evaluation of strengths and weaknesses of the participating platforms. In this framework, over the last few years, the Department of Industrial Engineering of the University of Florence participated in multiple robotics competitions, employing different vehicles. In particular, in September 2017 the team from the University of Florence took part in the European Robotics League Emergency Robots competition held in Piombino (Italy) using FeelHippo AUV, a compact and lightweight Autonomous Underwater Vehicle (AUV). Despite its size, FeelHippo AUV possesses a complete navigation system, able to offer good navigation accuracy, and diverse payload acquisition and analysis capabilities. This paper reports the main field results obtained by the team during the competition, with the aim of showing how it is possible to achieve satisfying performance (in terms of both navigation precision and payload data acquisition and processing) even with small-size vehicles such as FeelHippo AUV.
如今,水下机器人被应用于许多不同的领域;在过去几十年里,公司和研究机构开发了各种各样的机器人运载工具,它们在形状、尺寸、导航系统和有效载荷方面各不相同。虽然市场需求构成了商用运载工具的真正基准,但研究项目中开发的新方法代表了学术界和研究机构的标准。机器人竞赛为自动驾驶车辆的性能比较提供了一个有趣的机会,它是最先进水下技术的有用试验台,也是对参赛平台优缺点进行建设性评估的契机。在此框架下,在过去几年里,佛罗伦萨大学工业工程系使用不同的运载工具参加了多项机器人竞赛。特别是在2017年9月,佛罗伦萨大学的团队使用FeelHippo AUV(一种紧凑轻便的自主水下航行器)参加了在意大利皮翁比诺举行的欧洲机器人联盟应急机器人竞赛。尽管体积不大,但FeelHippo AUV拥有完整的导航系统,能够提供良好的导航精度,以及多样的有效载荷采集和分析能力。本文报告了该团队在竞赛中取得的主要实地成果,旨在展示即使使用像FeelHippo AUV这样的小型运载工具,也能在导航精度以及有效载荷数据采集和处理方面取得令人满意的性能。