【学术报告】关于设计和实现群机器人的新思路
发布人:赵振华  发布时间:2023-04-04   浏览次数:62

报告人:Marco Dorigo 院士


工作单位:比利时鲁汶大学(比利时)

报告题目:关于设计和实现群机器人的新思路

报告时间:2023411日(周二)14:30-15:30

报告链接:Teams Link

https://teams.microsoft.com/l/meetup-join/19%3aB4gmRcUATAMA2iJqi-xXvtfPFfTbxVJPxSW_pcAPBao1%40thread.tacv2/1638719716825?context=%7b%22Tid%22%3a%2222804ebb-30d5-47df-942f-f3a3722f0225%22%2c%22Oid%22%3a%2216a60c03-ad7a-4b85-a403-8ebd947e010c%22%7d 

 

内容摘要:

群机器人技术是构建和控制自主机器人群体,使其合作完成超出群体中单个机器人能力的任务。群机器人又称为机器人系统,具有内在的容错性、可扩展性及操作并行性。然而,在目前的群机器人中,这些特性只存在于一个非常有限的范围内。本次报告将提出并探讨该研究方向,以尝试解决并克服这些限制。      

具体地有:

 (i)属性驱动的设计,一种解决微观-宏观链接问题的方法;

  (ii)群机器人的设计模式,为处理重复出现的问题提供规范的指导方针;

   (iii) 具有可合并神经系统的机器人,即既能在机器人群的组织中引入集中化元素,同时又能保留自组织的优势。

个人简介:

   Marco Dorigo院士于1992年在意大利米兰理工大学获得电子工程博士学位,现任比利时国家科学研究中心终身研究员、ULB人工智能实验室IRIDIA联合主任、《Swarm Intelligence》期刊主编,以及其他有关计算智能和自适应系统期刊的编辑委员会成员,曾任加利福尼亚州伯克利国际计算机科学研究所研究员、NATO-CNR研究员、玛丽-居里研究员。Marco Dorigo院士是AAAIEurAIIEEE的成员,也是ERC高级资助获得者,曾获许多国际奖项,其中包括2003年的玛丽-居里优秀奖,2015年的IEEE弗兰克-罗森布拉特奖以及2016年的IEEE进化计算先锋奖。


                                            【编辑:王健】

 

英文版:

Academic Report Notice of Marco DorigoNew ideas for designing and implementing robot swarms

 

Speaker: Professor  Marco Dorigo


Title: New ideas for designing and implementing robot swarms

Time: 14:30-15:30, April 11th, 2023 (Tuesday)

Website: Teams Link

https://teams.microsoft.com/l/meetup-join/19%3aB4gmRcUATAMA2iJqi-xXvtfPFfTbxVJPxSW_pcAPBao1%40thread.tacv2/1638719716825?context=%7b%22Tid%22%3a%2222804ebb-30d5-47df-942f-f3a3722f0225%22%2c%22Oid%22%3a%2216a60c03-ad7a-4b85-a403-8ebd947e010c%22%7d 

Abstract: 

  Swarm robotics is about constructing and controlling swarms of autonomous robots that cooperate to perform tasks that go beyond the capabilities of the single robots in the swarm. Robot swarms are advertised as robotic systems with inherent fault tolerance, scalability and parallel operation. However, in current robot swarms these properties are present only to a very limited extent. In the talk, I will propose and discuss a few research directions to address and possibly overcome these limitations. In particular, I will present (i) property-driven design, a methodology to address the micro-macro link problem; (ii) design patterns for robot swarms, that provide formal guidelines to deal with recurring problems; and (iii) robots with mergeable nervous systems, which introduces elements of centralisation in the organisation of a robot swarm without losing the benefits of self-organisation.

Personal Introduction: 

  Marco Dorigo received the Ph.D. degree in electronic engineering in 1992 from Politecnico di Milano, Milan, Italy. From 1992 to 1993, he was a Research Fellow at the International Computer Science Institute, Berkeley, CA. In 1993, he was a NATO-CNR Fellow, and from 1994 to 1996, a Marie Curie Fellow. Since 1996, he has been a tenured Researcher of the FNRS, the Belgian National Funds for Scientific Research, and co-director of IRIDIA, the artificial intelligence laboratory of the ULB. His current research interests include swarm intelligence, swarm robotics, and metaheuristics for discrete optimization. He is the Editor-in-Chief of Swarm Intelligence, and a member of the editorial boards of many journals on computational intelligence and adaptive systems. Dr. Dorigo is a Fellow of the AAAI, EurAI, and IEEE and ERC Advanced Grant recipient. He was awarded numerous international prizes among which the Marie Curie Excellence Award in 2003, the IEEE Frank Rosenblatt Award in 2015, and the IEEE Evolutionary Computation Pioneer Award, awarded in 2016.


                                                                                                                                         [Editor:Jian Wang]