Science Robotics最新文献_第4页

AI-driven aerial robots advance whale research. 人工智能驱动的空中机器人推进鲸鱼研究。

IF 26.1 1区计算机科学

Science Robotics Pub Date : 2024-10-30 DOI: 10.1126/scirobotics.adt1955

Haluk Bayram

引用次数: 0

Transforming science labs into automated factories of discovery 将科学实验室改造成自动化发现工厂

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-23 DOI: 10.1126/scirobotics.adm6991

Angelos Angelopoulos, James F. Cahoon, Ron Alterovitz

引用次数: 0

Ted Chiang imagines a computational theory of robots 特德-蒋（Ted Chiang）设想了一种机器人计算理论。

IF 26.1 1区计算机科学

Science Robotics Pub Date : 2024-10-23 DOI: 10.1126/scirobotics.adt3828

Robin R. Murphy

引用次数: 0

Paleoinspired robotics as an experimental approach to the history of life 受古生物启发的机器人技术是研究生命史的一种实验方法

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-23 DOI: 10.1126/scirobotics.adn1125

Michael Ishida, Fidji Berio, Valentina Di Santo, Neil H. Shubin, Fumiya Iida

引用次数: 0

Robotic manipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogenic cardiomyopathy 用机器人操纵心肌细胞识别心律失常性心肌病的间隙连接修饰因子

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-23 DOI: 10.1126/scirobotics.adm8233

Wenkun Dou, Guanqiao Shan, Qili Zhao, Manpreet Malhi, Aojun Jiang, Zhuoran Zhang, Andrés González-Guerra, Shaojie Fu, Junhui Law, Robert M. Hamilton, Juan A. Bernal, Xinyu Liu, Yu Sun, Jason T. Maynes

{"title":"Robotic manipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogenic cardiomyopathy","authors":"Wenkun Dou, Guanqiao Shan, Qili Zhao, Manpreet Malhi, Aojun Jiang, Zhuoran Zhang, Andrés González-Guerra, Shaojie Fu, Junhui Law, Robert M. Hamilton, Juan A. Bernal, Xinyu Liu, Yu Sun, Jason T. Maynes","doi":"10.1126/scirobotics.adm8233","DOIUrl":"https://doi.org/10.1126/scirobotics.adm8233","url":null,"abstract":"Arrhythmogenic cardiomyopathy (ACM) is a leading cause of sudden cardiac death among young adults. Aberrant gap junction remodeling has been linked to disease-causative mutations in plakophilin-2 ( PKP2 ). Although gap junctions are a key therapeutic target, measurement of gap junction function in preclinical disease models is technically challenging. To quantify gap junction function with high precision and high consistency, we developed a robotic cell manipulation system with visual feedback from digital holographic microscopy for three-dimensional and label-free imaging of human induced pluripotent stem cell–derived cardiomyocytes (iPSC-CMs). The robotic system can accurately determine the dynamic height changes in the cells’ contraction and resting phases, microinject drug-treated healthy and diseased iPSC-CMs in their resting phase with constant injection depth across all cells, and deposit a membrane-impermeable dye that solely diffuses between cells through gap junctions for measuring the gap junction diffusion function. The robotic system was applied toward a targeted drug screen to identify gap junction modulators and potential therapeutics for ACM. Five compounds were found to dose-dependently enhance gap junction permeability in cardiomyocytes with PKP2 knockdown. In addition, PCO 400 (pinacidil) reduced beating irregularity in a mouse model of ACM expressing mutant PKP2 (R735X). These results highlight the utility of the robotic cell manipulation system to efficiently assess gap junction function in a relevant preclinical disease model, thus providing a technique to advance drug discovery for ACM and other gap junction–mediated diseases.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"2 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-tech guardians: Robotics at the heart of the Future Circular Collider. 高科技守护者：机器人技术是未来环形对撞机的核心。

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-16 DOI: 10.1126/scirobotics.adm7965

Hannes Gamper,Andreas Mueller,Mario Di Castro

引用次数: 0

Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots 利用合作机器人长期自主跟踪蜜蜂行为

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-16 DOI: 10.1126/scirobotics.adn6848

Jiří Ulrich, Martin Stefanec, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Tomáš Rouček, Bilal Yağız Gündeğer, Mahmood Saadat, Jan Blaha, Jiří Janota, Daniel Nicolas Hofstadler, Kristina Žampachů, Erhan Ege Keyvan, Babür Erdem, Erol Şahin, Hande Alemdar, Ali Emre Turgut, Farshad Arvin, Thomas Schmickl, Tomáš Krajník

{"title":"Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots","authors":"Jiří Ulrich, Martin Stefanec, Fatemeh Rekabi-Bana, Laurenz Alexander Fedotoff, Tomáš Rouček, Bilal Yağız Gündeğer, Mahmood Saadat, Jan Blaha, Jiří Janota, Daniel Nicolas Hofstadler, Kristina Žampachů, Erhan Ege Keyvan, Babür Erdem, Erol Şahin, Hande Alemdar, Ali Emre Turgut, Farshad Arvin, Thomas Schmickl, Tomáš Krajník","doi":"10.1126/scirobotics.adn6848","DOIUrl":"https://doi.org/10.1126/scirobotics.adn6848","url":null,"abstract":"Digital and mechatronic methods, paired with artificial intelligence and machine learning, are transformative technologies in behavioral science and biology. The central element of the most important pollinator species—honey bees—is the colony’s queen. Because honey bee self-regulation is complex and studying queens in their natural colony context is difficult, the behavioral strategies of these organisms have not been widely studied. We created an autonomous robotic observation and behavioral analysis system aimed at continuous observation of the queen and her interactions with worker bees and comb cells, generating behavioral datasets of exceptional length and quality. Key behavioral metrics of the queen and her social embedding within the colony were gathered using our robotic system. Data were collected continuously for 24 hours a day over a period of 30 days, demonstrating our system’s capability to extract key behavioral metrics at microscopic, mesoscopic, and macroscopic system levels. Additionally, interactions among the queen, worker bees, and brood were observed and quantified. Long-term continuous observations performed by the robot yielded large amounts of high-definition video data that are beyond the observation capabilities of humans or stationary cameras. Our robotic system can enable a deeper understanding of the innermost mechanisms of honey bees’ swarm-intelligent self-regulation. Moreover, it offers the possibility to study other social insect colonies, biocoenoses, and ecosystems in an automated manner. Social insects are keystone species in all terrestrial ecosystems; thus, developing a better understanding of their behaviors will be invaluable for the protection and even the restoration of our fragile ecosystems globally.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"24 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-resolution outdoor videography of insects using Fast Lock-On tracking 利用快速锁定跟踪技术对昆虫进行高分辨率户外摄像

IF 25 1区计算机科学

Science Robotics Pub Date : 2024-10-16 DOI: 10.1126/scirobotics.adm7689

T. Thang Vo-Doan, Victor V. Titov, Michael J. M. Harrap, Stephan Lochner, Andrew D. Straw

{"title":"High-resolution outdoor videography of insects using Fast Lock-On tracking","authors":"T. Thang Vo-Doan, Victor V. Titov, Michael J. M. Harrap, Stephan Lochner, Andrew D. Straw","doi":"10.1126/scirobotics.adm7689","DOIUrl":"https://doi.org/10.1126/scirobotics.adm7689","url":null,"abstract":"Insects have important roles globally in ecology, economy, and health, yet our understanding of their behavior remains limited. Bees, for example, use vision and a tiny brain to find flowers and return home, but understanding how they perform these impressive tasks has been hampered by limitations in recording technology. Here, we present Fast Lock-On (FLO) tracking. This method moves an image sensor to remain focused on a retroreflective marker affixed to an insect. Using paraxial infrared illumination, simple image processing can localize the sensor location of the insect in a few milliseconds. When coupled with a feedback system to steer a high-magnification optical system to remain focused on the insect, a high–spatiotemporal resolution trajectory can be gathered over a large region. As the basis for several robotic systems, we show that FLO is a versatile idea that can be used in combination with other components. We demonstrate that the optical path can be split and used for recording high-speed video. Furthermore, by flying an FLO system on a quadcopter drone, we track a flying honey bee and anticipate tracking insects in the wild over kilometer scales. Such systems have the capability to provide higher-resolution information about insects behaving in natural environments and as such will be helpful in revealing the biomechanical and neuroethological mechanisms used by insects in natural settings.","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"4 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Taking control: Steering the future of biohybrid robots 掌握控制权：引领生物混合机器人的未来

IF 26.1 1区计算机科学

Science Robotics Pub Date : 2024-09-25 DOI: 10.1126/scirobotics.adr9299

Maheera Bawa, Ritu Raman

引用次数: 0

Float like a butterfly, swim like a biohybrid neuromuscular robot 像蝴蝶一样漂浮，像生物混合神经肌肉机器人一样游泳

IF 26.1 1区计算机科学

Science Robotics Pub Date : 2024-09-25 DOI: 10.1126/scirobotics.ads4127

Nicole W. Xu

引用次数: 0