Guest Editorial of the Special Issue on Computational Intelligence and Its Applications for Robotics

2017 ◽  
Vol 14 (02) ◽  
pp. 1702001 ◽  
Author(s):  
Young-Jae Ryoo ◽  
Takahiro Yamanoi

The special issue topics focus on the computational intelligence and its application for robotics. Its areas reach out comprehensive ranges; context-awareness software, omnidirectional walking and fuzzy controller of dynamic walking for humanoid robots, pet robots for treatment of ASD children, fuzzy logic control, enhanced simultaneous localization and mapping, fuzzy line tracking for mobile robots, and so on. Computational intelligence (CI) is a method of performing like humans. Generally computational intelligence means the ability of a computer to learn a specific task from data or experimental results. Meanwhile robotic system has many limits to behave like human beings. The robotic system might be too complex for mathematical reasoning, it might contain some uncertainties during the process, or the process might simply be stochastic in real life. Real-life problems cannot be translated into binary code for computers to process it. Computational intelligence might solve such problems.

Author(s):  
Jani Pulkki ◽  
Jan Varpanen ◽  
John Mullen

AbstractWhile human beings generally act prosocially towards one another — contra a Hobbesian “war of all against all” — this basic social courtesy tends not to be extended to our relations with the more-than-human world. Educational philosophy is largely grounded in a worldview that privileges human-centered conceptions of the self, valuing its own opinions with little regard for the ecological realities undergirding it. This hyper-separation from the ‘society of all beings’ is a foundational cause of our current ecological crises. In this paper, we develop an ecosocial philosophy of education (ESPE) based on the idea of an ecological self. We aspire to consolidate voices from deep ecology and ecofeminism for conceptualizing education in terms of being responsible to and for, a complex web of interdependent relations among human and more-than-human beings. By analyzing the notion of opinions in light of Gilles Deleuze’s critique of the ‘dogmatic image of thought,’ we formulate three aspects of ESPE capable of supporting an ecological as opposed to an egoistic conception of the self: (i) rather than dealing with fixed concepts, ESPE supports adaptable and flexible boundaries between the self and the world; (ii) rather than fixating on correct answers, ESPE focuses on real-life problems shifting our concern from the self to the world; and (iii) rather than supporting arrogance, EPSE cultivates an epistemic humility grounded in our ecological embeddedness in the world. These approaches seek to enable an education that cultivates a sense of self that is less caught up with arbitrary, egoistic opinions of the self and more attuned to the ecological realities constituting our collective life-worlds.


2005 ◽  
Vol 17 (6) ◽  
pp. 607-607
Author(s):  
Taketoshi Mori ◽  

Human modeling is becoming an essential key technology for robotics and mechatronics systems that aid and expand human activities. Human modeling is indispensable in designing systems that conduct tasks difficult or even impossible for human beings to accomplish. Such systems include humanoid robots, power assistance suits, communication robots, intelligent support rooms, and user interface devices. This special issue focuses on the latest state-of-the-art human modeling research, especially in robotics, presenting a wide variety of human modeling areas. To support human beings in real-world environments, human behavior model is considerably important. Adaptation to personal characteristics may be the core function of next-generation system mechanisms, and human social modeling is the principal focus of interfacing for interaction systems. Cognitive and psychological models of human beings have always been an important domain in human-machine systems. Probabilistic and static methods have attracted attention in this research field. Not only mechanical but physiological human modeling may soon become 'vital' for all kind of robotic systems. This special issue is the kernel node for cultivating these rapidly advancing areas. I thank the authors of the articles in this issue for their invaluable effort and contributions. I also thank the members of the Editorial board, without whose work this special issue would not have been possible.


Author(s):  
Indra Adji Sulistijono ◽  
◽  
Naoyuki Kubota ◽  
◽  
◽  
...  

We propose computational intelligence for partner robot perception in which the robot requires the capability of visual perception to interact with human beings. Basically, robots should conduct moving object extraction, clustering, and classification for visual perception used in interactions with human beings. We propose total human visual tracking by long-term memory, k-means, self-organizing map, and a fuzzy controller is used for movement output. Experimental results show that the partner robot can conduct the human visual tracking.


2011 ◽  
Vol 23 (4) ◽  
pp. 465-465
Author(s):  
Mihoko Niitsuma ◽  
Tamio Tanikawa

With research on human-assist robot systems increasingly using distributed sensors and actuators, robots are expected to provide appropriate real-time real-life support to users. Ambient intelligence, an approach important in realizing human-robot coexistence, helps robot devices adapt and act in real environments, since ambient intelligence is a technology basic to providing such abilities. Flexible, reliable system integration based on environment size and purpose is important in realizing ambient intelligence. The 8 papers in this special issue, all of which explore cutting-edge research, present the latest in ambient intelligence and its applications. The first three papers propose real-world observation in ambient intelligence. One example of major research topics in observation functions is the localization of human beings and objects, including mobile robots. Object recognition also is an important issue in supporting human beings. Papers 4 and 5 cover observation system design issues, including optimizing sensor arrangements to classify activities and for flexibly and efficiently integrating multiple distributed sensors. The last three papers discuss ways to automatically build ontology to help robots understand user intent, frameworks for flexibly and scalably integrating distributed robot technology elements, and strategy and mechanism design methodology for robot systems transferring and storing objects in home environments. We thank the authors for their invaluable contributions in submitting their latest research results to this issue. We are grateful to the reviewers for their precious time and effort. We also thank the Editorial Board members of the Journal of Robotics and Mechatronics for helping make this issue possible.


Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1045
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antucheviciene ◽  
Zenonas Turskis

This Special Issue covers symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multi-criteria decision-making problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the Special Issue.


Author(s):  
Jela Steinerová

Over the last decades information and knowledge have become global and traditional disciplines of humanities and social sciences have searched for new methodological models related to knowledge and information. Based on information science as social science I would like to investigate the role of human beings in creation, communication and use of information. Information problems of people are complex real-life problems which need new methods...


Author(s):  
PRADIP KUMAR TALAPATRA ◽  
SHAKTI PRASAD DASH ◽  
P. RAKESH

Humans are the most advanced creatures of the nature. Accordingly it can be stated that humanoid robots are the most advanced creatures of human beings. Among the man-made systems such as automobile, hand-phones and multimedia devices, robots of future will hopefully be the most ideal assistants to human beings. During several decades of research, development projects aimed at building bipedal and humanoid robots has been increasing at a rapid rate. A brief review of current activities in the development of bipedal humanoid robotics is provided in this paper. The dynamic modelling of biped robotic system in the current trend is also described. The main objectives for using bipedal robots are introduced and bipedal locomotion as well as its dynamic behaviors in different fields are also considered. The use of dynamics of different kinds of mechanical systems in the field of humanoid robotics is also emphasized. Finally, a list of few projects in this field is provided.


2016 ◽  
Vol 31 (5) ◽  
pp. 415-416
Author(s):  
Miguel A. Salido ◽  
Roman Barták

AbstractThe areas of Artificial Intelligence planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially, solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques. Constraint satisfaction plays an important role in solving such real life problems, and integrated techniques that manage planning and scheduling with constraint satisfaction are particularly useful.


Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 500 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Zenonas Turskis ◽  
Jurgita Antucheviciene

This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different solution models as integrated tools to find a balance between the components of sustainable global development, i.e., to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. We hope that a summary of the Special Issue as provided in this editorial will encourage a detailed analysis of the papers.


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