在困难条件下远程采集样本的自动驾驶车辆:使海洋生物学家能够远程采集样本

A. Bennett, Victoria L. Preston, Jay Woo, Shivali Chandra, Devynn Diggins, Riley Chapman, Zhecan Wang, M. Rush, L. Lye, Mindy Tieu, Silas Hughes, Iain Kerr, A. Wee
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引用次数: 8

摘要

机器人系统的成本迅速下降,能力不断增强,为科学研究领域创造了前所未有的机遇。由于费用、地点、时间或风险等原因,以前不可能实现的条件下的远程样本采集现在已经成为现实。在海洋生物研究中特别令人感兴趣的是从鲸鱼监测中消除人类和设备形式的额外压力因素。在奥林工程学院和海洋联盟的合作下,一种名为“鼻涕机器人”的多旋翼无人飞行器(UAV)正在开发中,它使海洋生物学家能够以一种更少干扰和更有效的方式从活鲸身上收集观测数据和生物样本。2014年夏季在墨西哥湾进行的测试表明,就无人机产生的噪音和下沉气流而言,snonotbot可能不会对研究鲸鱼产生刺激[1]。这些实地测试的结果正被用于申请从真正的鲸鱼身上收集样本的研究许可。在正式授权在鲸鱼上操作之前,奥林学院和马萨诸塞湾格洛斯特港正在进行控制测试,以表征车辆并开发自主性。除了鲸类/鲸鱼研究之外,在困难或敏感的位置收集物理样本的能力,如snonotbot所展示的,在环境监测、航空测量和瞬态事件诊断方面有着深远的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists
Rapidly dropping costs and increasing capabilities of robotic systems are creating unprecedented opportunities for the world of scientific research. Remote sample collection in conditions that were once impossible due to expense, location, timing, or risk are now becoming a reality. Of particular interest in marine biological research is the aspect of removing additional stressors in the form of humans and equipment from whale monitoring. In a partnership between Olin College of Engineering and Ocean Alliance, a multirotor unmanned air vehicle (UAV) named SnotBot is being developed to enable marine biologists to collect observational data and biological samples from living whales in a less intrusive and more effective way. In Summer 2014 tests conducted in the Gulf of Mexico it was demonstrated that SnotBot may not be an irritant to whales of study with respect to the noise and downdraft generated by the UAV [1]. The results from those field tests are being used to apply for research permits to collect samples from real whales. Until formal authorization to operate over whales is granted, controlled testing at Olin College and in the Gloucester Harbor of Massachusetts Bay is being conducted to characterize the vehicles and develop autonomy. Beyond cetacean/whale research, the ability to collect physical samples in difficult or sensitive locations, as demonstrated by SnotBot, has far reaching applications in environmental monitoring, aerial surveying, and diagnosis of a transient events.
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