澳门新葡平台网址8883入口人工智能与机器人国际学术讲坛
Nankai University International E-Forum on Artificial Intelligence and Robotics
第三期
l 2020年11月21日（周六） 腾讯会议：356 2733 3629
19:00-20:00 刘洪海 哈尔滨工业大学（深圳）
报告题目：多模态人机交互及其医疗应用
20:10-21:10 陈本美 香港中文大学/新加坡国立大学
报告题目：Research Trends in Developing Intelligent Unmanned Systems
l 2020年11月22日（周日） 腾讯会议：866 2460 3481
19:00-20:00 金耀初 英国萨利大学
报告题目：Morphogenetic self-organization of swarm robots
20:10-21:10 王郸维 新加坡南洋理工大学
报告题目：机器人和自动化的智能
报告8：
报告时间：2020年11月21日（周六）19:00-20:00
腾讯会议：356 2733 3629
报告嘉宾：刘洪海 哈尔滨工业大学（深圳）
报告题目：多模态人机交互及其医疗应用
报告摘要：在人体运动行为感知与理解的研究背景下，报告人介绍其研究组对这一领域的理解和研究专注点。报告人汇报基于云端异构脑肌耦合感知与理解的人机交互系统框架及其医疗应用。针对肢体障碍疾病康复与自闭症儿童的早期筛查与干预，报告人给出了尝试性的机器辅助诊疗方法并汇报目前的研究进展。
报告人简介：
刘洪海，哈尔滨工业大学（深圳）教授。英国伦敦大学国王学院博士学位。刘洪海教授主要从事人体运动行为感知技术，生机电一体化及智能机器人理论与应用等方面的研究，在广义机器人系统运动学及“运动／认知”集成模型，人体运动信息检测、处理与生机电一体化系统技术等智能计算和智能机器人领域有较大国际影响，并已在脑卒中康复、自闭症早期筛查与干预、欧盟猎兔犬火星计划、海洋引擎的故障诊断等领域得到成功应用，取得了一系列具有国际影响的创新成果，并多次获国际学术会议最佳论文奖及受邀在IEEE模糊系统年会等做大会讲座。刘洪海教授是IEEE TII/TIE/Cyberntics等国际期刊编辑。刘洪海教授是英国工程和技术院会士。
报告9：
报告时间：2020年11月21日（周六）20:10-21:10
腾讯会议：356 2733 3629
报告嘉宾：陈本美 香港中文大学/新加坡国立大学
报告题目：Research Trends in Developing Intelligent Unmanned Systems
Abstract ：The research and market for the unmanned aerial systems (UAS), or drones, has greatly expanded over the last few years. It is expected that the currently small civilian unmanned aircraft market is likely to become one of the major technological and economic stories of the modern age, due to a wide variety of possible applications and added value related to this potential technology. Modern unmanned aerial systems are gaining promising success because of their versatility, flexibility, low cost, and minimized risk of operation. In this talk, we highlight some key techniques involved and research trends in developing intelligent autonomous unmanned aerial vehicles, which include task and motion planning, flight control systems, perception and data processing. Some industrial application examples will be used as illustrations.
Biography：
Ben M. Chen is currently a Professor of Mechanical and Automation Engineering at the Chinese University of Hong Kong and a Professor of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS). He was a Provost's Chair Professor in the NUS ECE Department, where he also served as the Director of Control, Intelligent Systems and Robotics Area, and Head of Control Science Group, NUS Temasek Laboratories. He was an Assistant Professor at the State University of New York at Stony Brook, in 1992–1993. His current research interests are in unmanned systems, robust control and control applications.
Dr. Chen is an IEEE Fellow. He has authored/co-authored more than 450 journal and conference articles, and a dozen research monographs in control theory and applications, unmanned systems and financial market modeling. He had served on the editorial boards of a dozen international journals including Automatica and IEEE Transactions on Automatic Control. He currently serves as an Editor-in-Chief of Unmanned Systems. Dr. Chen has received a number of research awards. His research team has actively participated in international UAV competitions and won many championships in the contests.
报告10：
报告时间：2020年11月22日（周日）19:00-20:00
腾讯会议：866 2460 3481
报告嘉宾：金耀初 英国萨利大学
报告题目：Morphogenetic self-organization of swarm robots
Abstract ：Self-organization is one of the most important features observed in social, economic, ecological and biological systems. Distributed self-organizing systems are able to generate emergent global behaviors through local interactions between individuals without a centralized control. Such systems are supposed to be robust, self-repairable and highly adaptive. However, design of self-organizing systems is very challenging, particularly when the emerged global behaviors are required to be predictable or predictable.
This talk introduces a morphogenetic approach to the self-organizing swarm robots using genetic and cellular mechanisms governing the biological morphogenesis. We demonstrate that morphogenetic self-organizing algorithms are able to autonomously generate patterns and surround moving targets without centralized control. Finally, morphogen based methods for self-organization of simplistic robots that do not have localization and orientation capabilities are presented.
Biography：
Yaochu Jin received the BSc, MSc, and PhD degrees from Zhejiang University, Hangzhou, China, in 1988, 1991, and 1996, respectively, and the Dr.-Ing. degree from Ruhr University Bochum, Germany, in 2001.
He is currently a Distinguished Chair Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K., where he heads the Nature Inspired Computing and Engineering Group and Director of Research. He was a “Finland Distinguished Professor” of University of Jyvaskyla, Finland, and “Changjiang Distinguished Visiting Professor”, Northeastern University, China.
Dr Jin is presently the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS and the Editor-in-Chief of Complex & Intelligent Systems. He is the recipient of the 2018 and 2020 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2014, 2016, and 2019 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named the "Highly Cited Researcher 2019" by the Web of Science Group. He is a Fellow of IEEE.
报告11：
报告时间：2020年11月22日（周日）20:10-21:10
腾讯会议：866 2460 3481
报告嘉宾：王郸维 新加坡南洋理工大学
报告题目：机器人和自动化的智能
报告简介：机器人与自动化技术的研究，发展与应用进入到了智能时代！智能自主技术是机器人学科与机器智能技术在自动化学科将是决定将来技术水平的关键分支。智能自主技术让机器拥有部分人的辨别，认知，决策，规划与行动的综合能力。而且多机协同技术使得机器人超出单个机器人具备的智能与能力。多源异构传感器结合与信息融合赋予了机器人智能自主的能力。让机器人在无GPS以及非结构环境中具有智能自主能力是一个最艰难的挑战。多机器人协同技术让智能自主的能力产生了乘积效应。这个报告围绕机器人智能自主的技术研发展示了多项在南洋理工大学电子电机工程学院与在新科工程-南大企业实验室开发的一些技术。也讨论这些技术的可能应用场景。
报告人简介：新加坡南洋理工大学王郸维教授是南洋理工大学电子与电机工程学院终身正教授、新加坡科技集团-南洋理工大学联合实验室主任和先进机器人实验室主任。王教授1989年毕业于美国密执安大学安娜堡分校，于1997 年获得德国洪堡学者奖章，2015 年荣获新加坡国庆奖章并由新加坡共和国总统亲自颁发奖章。王教授是IEEE 新加坡机器人与自动化协会主席、IEEE 高级会员，并作为大会主席、程序委员会主席和主旨发言会主席的身份多次积极组织国际学术会议。自1985 年以来，王教授一直在机器人学和控制理论与技术领域进行研究，在迭代学习控制理论，重复控制理论与应用在国际上得到国际上普遍认可为权威专家。王教授共出版5本英文专著，在IEEE Transactions on Automatic Control， Automatica，IEEE Transactions on Control Systems Technology，IEEE Robotics & Automation Magazine，IEEE Transactions on Industrial Electronics，IEEE Transactions on Power Electronics等国际顶级期刊发表论文 450 余篇，GoogleScholar数据库中记载被引用次数超过13000次。王教授承担了多个新加坡国家研究基金研发计划，负责拥有 5200 万新币（约 2.6 亿人民币）经费的新加坡科技集团-南洋理工大学联合实验室和南洋理工大学先进机器人实验室。王教授团队已经完成项目累计经费约三千万新币，所涉及领域包括机器人学与控制、多机协同与智能决策技术、智能无人系统、移动机器人路径和轨迹规划、卫星编队飞行和姿态控制、复杂系统故障诊断和预测容错，已承担几十项国际级、国家级及工业转化项目，多次参加国际水平机器人比赛，具有很强的研发能力，工程能力和系统集成能力。
