摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。根据NewsRx Corre Spondents来自佛罗里达州迈阿密的新闻报道，研究表明，"海洋生物经常受到许多鱼源性压力的影响，导致广泛的生态系统退化。"我们的新闻记者从国家海洋和大气管理局(NOAA)的研究中获得了一句话：“然而，对这些压力源的生理反应由于高度的生物变异性、物种特异性敏感性、非线性关系和无数的压力源组合而变得复杂。然而，量化这些关系对于制定预测工具和最终有效管理海洋资源至关重要。因此，多层次、多压力源实验是关键。”为了克服这些问题，我们建立了一个自动化的海洋生物实验系统。序贯治疗应用机器人(STAR)。该系统由一个履带式机械臂组成，该机械臂通过注射器和蠕动泵依次对独立的水族箱进行精密治疗。通过染料和分光光度法验证了精确度和精密度，并通过将珊瑚保持在治疗条件下超过一个月来证明稳定性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on robotics is now availab le. According to news reporting originating from Miami, Florida, by NewsRx corre spondents, research stated, “Marine organisms are often subject to numerous anth ropogenic stressors, resulting in widespread ecosystem degradation.” Our news reporters obtained a quote from the research from National Oceanic and Atmospheric Administration (NOAA): “Physiological responses to these stressors, however, are complicated by high biological variability, species-specific sensit ivities, nonlinear relationships, and countless permutations of stressor combina tions. Nevertheless, quantification of these relationships is paramount for para meterizing predictive tools and ultimately for effective management of marine re sources. Multi-level, multi-stressor experimentation is therefore key, yet the h igh replication required has remained a logistical challenge and a financial bar rier. To overcome these issues, we created an automated system for experimentati on on marine organisms, the Sequential Treatment Application Robot (STAR). The s ystem consists of a trackmounted robotic arm that sequentially applies precisio n treatments to independent aquaria via syringe and peristaltic pumps. The accur acy and precision were validated with dye and spectrophotometry, and stability w as demonstrated by maintaining corals under treatment conditions for more than a month.”
NETL
NSTL