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Prof. Imre J. Rudas
Obuda University, Budapest, Hungary
[email protected]
Obuda University, Budapest, Hungary
[email protected]
Imre J. Rudas graduated from Banki Donat Polytechnic, Budapest in 1971, received the Master Degree in Mathematics from the Eotvos Lorand University, Budapest, the Ph.D. in Robotics from the Hungarian Academy of Sciences in 1987, and subsequently the Doctor of Science degree from the Hungarian Academy of Sciences in 2004. He received his first Doctor Honoris Causa degree from the Technical University of Kosice, Slovakia and the second one from "Polytechnica" University of Timisoara, Romania. He is active as a full university professor. He served as the President of Budapest Tech from 2003 till 2010. He was elected in 2010 as the President of Obuda University, the successor of Budapest Tech for a period of five years. He is the treasurer of IFSA (International Fuzzy System Association), he had been the President of Hungarian Fuzzy Association for ten years, and the Vice-President of the Hungarian Academy of Engineering.
He has been an active member of IEEE. He was a member of IEEE Board of Directors RAB, TAB Section/Chapter Support Committee in 1998. He is a Fellow of IEEE, Senior AdCom member of IES, he was a Vice-President of IEEE Industrial Electronics Society in 2000-2001, and he is a Distinguished Lecturer of IES. He was elected as the Chair of IEEE Hungary Section for the period 2008-1012.
He has been the founding chair of IEEE Hungary Chapter of Systems, Man, and Cybernetics Society since 2003; he was the Region 8 Chapter Coordinator for SMC during the period 2002-04. He has been serving as a Technical Program Committee member the annual SMC conferences for many years. He served as a BoG member of SMC in the period 2007-2010 and 2012, he has been a Distinguished Lecturer of the Society since 2009.
He serves as an associate editor of some scientific journals, including IEEE Transactions on Industrial Electronics, member of various national and international scientific committees. He was the founder and has been the organizer of the IEEE International Conference Series on Intelligent Engineering Systems (INES, since 1997), the IEEE International Conference Series on Computational Cybernetics (ICCC, since 2003), IEEE International Symposium on Computational Intelligence and Informatics (CINTI, since 2000), IEEE International Symposium on Machine Intelligence and Informatics (SAMI, since 2003), IEEE International Symposium on Intelligent Systems and Informatics (SISY, since 2003), IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI, since 2004), IEEE International Symposium on Logistics and Industrial Informatics (LINDI, since 2007). He has served as General Chair and Technical Program Committee Chair of numerous IEEE international conferences.
His present areas of research activities are Computational Cybernetics, Intelligent Robotics with special emphasis on Robot Control, Soft Computing, Computed-aided Process Planning, Fuzzy Control and Fuzzy Sets. He has published books, more than 640 papers in books, scientific journals and peer reviewed international conference proceedings.
Cloud Robotics
Cloud Computing as an emerging technology is a new paradigm in Information Technology and has dramatically changed our everyday life.
The presentation summarizes the basics of cloud computing, namely the main idea, the definition, the cloud model composed of essential characteristics, service models and deployment models.
The concept of Cloud Technology is introduced where the service models are generalized (anything as a service).
The presentation summarizes the results and ideas of a new generation internet and cloud based collaborative system development with special emphases to robotics. These thoughts are composed by the Virtual Collaboration Arena (VirCA).
VirCA provides a platform where users can build, share and manipulate 3D content, and collaboratively interact with real-time processes in a 3D context, while the participating hardware and software devices can be spatially and/or logically distributed and connected together via IP network. The 3D content and processes in VirCA can be synchronized with the real world, which allows the combination of reality and virtual world in the collaboration arena.
In the last part of the presentation some further applications of cloud computing in robotics are outlined with special emphases on robots as a service in cloud computing.
Information Aggregation in Intelligent Systems
In intelligent systems, like fuzzy control systems, decision support and expert systems, the problem of information aggregation of is one of the key issues. Since the pioneering work of Prof. Lotfi Zadeh dated to 1965 a great number of fuzzy connectives, aggregation operators have been introduced, and the problem of aggregating information represented by membership functions in a meaningful way has been of central interest since the late 1970s. In most cases, the aggregation operators are defined on a pure axiomatic basis and are interpreted either as logical connectives (such as t-norms and t-conorms) or as averaging operators allowing a compensation effect (such as the arithmetic mean).
On the other hand, it can be recognized by some empirical tests that the above-mentioned classes of operators differ from those ones that people use in practice and do not follow always the real phenomena and do not provide optimal performance. The requirement to develop more sophisticated intelligent systems demands to find new operator families.
One can also discern that people are inclined to use standard classes of aggregation operators also as a matter of routine. For example, when one works with binary conjunctions and there is no need to extend them for three or more arguments, as it happens e.g. in the inference pattern called generalized modus ponens, associativity of the conjunction is an unnecessarily restrictive condition. The same is valid for the commutativity property if the two arguments have different semantical backgrounds and it has no sense to interchange one with the other.
These observations advocate the study of enlarged classes of operations for information aggregation and have urged us to revise their definitions and study further properties.
This lecture summarizes some new approaches to information aggregation from the literature and the research results of the author and his colleagues that have been carried out in recent years on generalization of conventional operators. This includes, but is not limited to, the class of uninorms and nullnorms, absorbing norms, distance- and entropybased operators, quasi-conjunctions and nonstrict means.
He has been an active member of IEEE. He was a member of IEEE Board of Directors RAB, TAB Section/Chapter Support Committee in 1998. He is a Fellow of IEEE, Senior AdCom member of IES, he was a Vice-President of IEEE Industrial Electronics Society in 2000-2001, and he is a Distinguished Lecturer of IES. He was elected as the Chair of IEEE Hungary Section for the period 2008-1012.
He has been the founding chair of IEEE Hungary Chapter of Systems, Man, and Cybernetics Society since 2003; he was the Region 8 Chapter Coordinator for SMC during the period 2002-04. He has been serving as a Technical Program Committee member the annual SMC conferences for many years. He served as a BoG member of SMC in the period 2007-2010 and 2012, he has been a Distinguished Lecturer of the Society since 2009.
He serves as an associate editor of some scientific journals, including IEEE Transactions on Industrial Electronics, member of various national and international scientific committees. He was the founder and has been the organizer of the IEEE International Conference Series on Intelligent Engineering Systems (INES, since 1997), the IEEE International Conference Series on Computational Cybernetics (ICCC, since 2003), IEEE International Symposium on Computational Intelligence and Informatics (CINTI, since 2000), IEEE International Symposium on Machine Intelligence and Informatics (SAMI, since 2003), IEEE International Symposium on Intelligent Systems and Informatics (SISY, since 2003), IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI, since 2004), IEEE International Symposium on Logistics and Industrial Informatics (LINDI, since 2007). He has served as General Chair and Technical Program Committee Chair of numerous IEEE international conferences.
His present areas of research activities are Computational Cybernetics, Intelligent Robotics with special emphasis on Robot Control, Soft Computing, Computed-aided Process Planning, Fuzzy Control and Fuzzy Sets. He has published books, more than 640 papers in books, scientific journals and peer reviewed international conference proceedings.
Cloud Robotics
Cloud Computing as an emerging technology is a new paradigm in Information Technology and has dramatically changed our everyday life.
The presentation summarizes the basics of cloud computing, namely the main idea, the definition, the cloud model composed of essential characteristics, service models and deployment models.
The concept of Cloud Technology is introduced where the service models are generalized (anything as a service).
The presentation summarizes the results and ideas of a new generation internet and cloud based collaborative system development with special emphases to robotics. These thoughts are composed by the Virtual Collaboration Arena (VirCA).
VirCA provides a platform where users can build, share and manipulate 3D content, and collaboratively interact with real-time processes in a 3D context, while the participating hardware and software devices can be spatially and/or logically distributed and connected together via IP network. The 3D content and processes in VirCA can be synchronized with the real world, which allows the combination of reality and virtual world in the collaboration arena.
In the last part of the presentation some further applications of cloud computing in robotics are outlined with special emphases on robots as a service in cloud computing.
Information Aggregation in Intelligent Systems
In intelligent systems, like fuzzy control systems, decision support and expert systems, the problem of information aggregation of is one of the key issues. Since the pioneering work of Prof. Lotfi Zadeh dated to 1965 a great number of fuzzy connectives, aggregation operators have been introduced, and the problem of aggregating information represented by membership functions in a meaningful way has been of central interest since the late 1970s. In most cases, the aggregation operators are defined on a pure axiomatic basis and are interpreted either as logical connectives (such as t-norms and t-conorms) or as averaging operators allowing a compensation effect (such as the arithmetic mean).
On the other hand, it can be recognized by some empirical tests that the above-mentioned classes of operators differ from those ones that people use in practice and do not follow always the real phenomena and do not provide optimal performance. The requirement to develop more sophisticated intelligent systems demands to find new operator families.
One can also discern that people are inclined to use standard classes of aggregation operators also as a matter of routine. For example, when one works with binary conjunctions and there is no need to extend them for three or more arguments, as it happens e.g. in the inference pattern called generalized modus ponens, associativity of the conjunction is an unnecessarily restrictive condition. The same is valid for the commutativity property if the two arguments have different semantical backgrounds and it has no sense to interchange one with the other.
These observations advocate the study of enlarged classes of operations for information aggregation and have urged us to revise their definitions and study further properties.
This lecture summarizes some new approaches to information aggregation from the literature and the research results of the author and his colleagues that have been carried out in recent years on generalization of conventional operators. This includes, but is not limited to, the class of uninorms and nullnorms, absorbing norms, distance- and entropybased operators, quasi-conjunctions and nonstrict means.
