Progress Toward Athletic Intelligence [From the Editor’s Desk]

IF 5.4 3区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Robotics & Automation Magazine Pub Date : 2024-03-18 DOI:10.1109/mra.2024.3353538
Yi Guo
{"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}
引用次数: 0

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 [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).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
实现运动智能的进展 [编辑手记]
2023 年,我们见证了生成式人工智能(AI)的非凡进步。无论是作文还是根据文字描述生成图片,机器似乎最终可以实现与人类相匹配的通用智能,甚至在某些任务上超过人类。但这些任务还不包括机器人任务,因为机器人任务需要物理技能以及感知和执行的整合。机器人技术取得了突破性进展,一个自主系统在第一人称视角无人机竞赛中战胜了人类世界冠军[1]。该机器人的机载感知系统采用基于混合学习的创新方法,将高维视觉和惯性信息转化为低维表示,并训练出一种将感知和控制指令融为一体的控制策略。该自主系统在与三位无人机竞赛世界冠军的比赛中取得了最快的成绩。这一进展令人鼓舞,我们希望看到更多的自主机器人能够达到人类水平,甚至在体育运动(如足球或网球)和其他理想任务(如烹饪或折叠衣服)中与人类一较高下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Robotics & Automation Magazine
IEEE Robotics & Automation Magazine 工程技术-机器人学
CiteScore
8.80
自引率
1.80%
发文量
100
审稿时长
>12 weeks
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.
期刊最新文献
Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multifingered In-Hand Manipulation Variable Transmission Mechanisms for Robotic Applications: A Review GeMuCo: Generalized Multisensory Correlational Model for Body Schema Learning When Robots Meet Artificial Intelligence: Let’s Do Better to Gain People’s Trust [From the Editor’s Desk] Anniversaries Are a Good Time to Reflect on the Past, Present, and Future of Robotics and Automation [President’s Message]
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1