{"title":"实现运动智能的进展 [编辑手记]","authors":"Yi Guo","doi":"10.1109/mra.2024.3353538","DOIUrl":null,"url":null,"abstract":"We have witnessed extraordinary advancements in generative artificial intelligence (AI) in 2023. Whether it’s composing essays or generating pictures based on written descriptions, it appears that machines could eventually achieve general intelligence matching, even exceeding humans on some tasks. But those tasks do not include robotic ones yet, which require physical skills and the integration of perception and actuation. A breakthrough was made in robotics in that an autonomous system won against human world champions in first-person-view drone racing <xref ref-type=\"bibr\" r xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">[1]</xref>\n. Using an innovative hybrid learning-based method, the robot’s onboard perception system translated high-dimensional visual and inertial information to low-dimensional representation, and a control policy was trained that integrated perception and control commands. The autonomous system achieved the fastest race time against three drone-racing world champions. The progress is encouraging, and we hope to see more autonomous robots that can reach human-level abilities and even compete against humans in sports (such as soccer or tennis) and other desirable tasks (such as cooking or folding clothes).","PeriodicalId":55019,"journal":{"name":"IEEE Robotics & Automation Magazine","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Progress Toward Athletic Intelligence [From the Editor’s Desk]\",\"authors\":\"Yi Guo\",\"doi\":\"10.1109/mra.2024.3353538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have witnessed extraordinary advancements in generative artificial intelligence (AI) in 2023. Whether it’s composing essays or generating pictures based on written descriptions, it appears that machines could eventually achieve general intelligence matching, even exceeding humans on some tasks. But those tasks do not include robotic ones yet, which require physical skills and the integration of perception and actuation. A breakthrough was made in robotics in that an autonomous system won against human world champions in first-person-view drone racing <xref ref-type=\\\"bibr\\\" r xmlns:mml=\\\"http://www.w3.org/1998/Math/MathML\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\">[1]</xref>\\n. Using an innovative hybrid learning-based method, the robot’s onboard perception system translated high-dimensional visual and inertial information to low-dimensional representation, and a control policy was trained that integrated perception and control commands. The autonomous system achieved the fastest race time against three drone-racing world champions. The progress is encouraging, and we hope to see more autonomous robots that can reach human-level abilities and even compete against humans in sports (such as soccer or tennis) and other desirable tasks (such as cooking or folding clothes).\",\"PeriodicalId\":55019,\"journal\":{\"name\":\"IEEE Robotics & Automation Magazine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Robotics & Automation Magazine\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/mra.2024.3353538\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics & Automation Magazine","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mra.2024.3353538","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Progress Toward Athletic Intelligence [From the Editor’s Desk]
We have witnessed extraordinary advancements in generative artificial intelligence (AI) in 2023. Whether it’s composing essays or generating pictures based on written descriptions, it appears that machines could eventually achieve general intelligence matching, even exceeding humans on some tasks. But those tasks do not include robotic ones yet, which require physical skills and the integration of perception and actuation. A breakthrough was made in robotics in that an autonomous system won against human world champions in first-person-view drone racing [1]
. Using an innovative hybrid learning-based method, the robot’s onboard perception system translated high-dimensional visual and inertial information to low-dimensional representation, and a control policy was trained that integrated perception and control commands. The autonomous system achieved the fastest race time against three drone-racing world champions. The progress is encouraging, and we hope to see more autonomous robots that can reach human-level abilities and even compete against humans in sports (such as soccer or tennis) and other desirable tasks (such as cooking or folding clothes).
期刊介绍:
IEEE Robotics & Automation Magazine is a unique technology publication which is peer-reviewed, readable and substantive. The Magazine is a forum for articles which fall between the academic and theoretical orientation of scholarly journals and vendor sponsored trade publications. IEEE Transactions on Robotics and IEEE Transactions on Automation Science and Engineering publish advances in theory and experiment that underpin the science of robotics and automation. The Magazine complements these publications and seeks to present new scientific results to the practicing engineer through a focus on working systems and emphasizing creative solutions to real-world problems and highlighting implementation details. The Magazine publishes regular technical articles that undergo a peer review process overseen by the Magazine''s associate editors; special issues on important and emerging topics in which all articles are fully reviewed but managed by guest editors; tutorial articles written by leading experts in their field; and regular columns on topics including education, industry news, IEEE RAS news, technical and regional activity and a calendar of events.