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SEMINAR A
| Lecturer(s) | TAKASHIO, KAZUNORI |
|---|---|
| Credit(s) | 4 |
| Academic Year/Semester | 2025 Fall |
| Day/Period | Thu.4,5 |
| Campus | SFC |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 37473 |
| Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
| Year Level | 1, 2, 3, 4 |
| Field | RESEARCH SEMINARS SEMINARS |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Related Classes | B6136 アナログ・デジタル電子回路基礎/FUNDAMENTALS OF ANALOG AND DIGITAL CIRCUIT B6046 モノ創りの科学/INTRODUCTION TO NOVEL FABRICATION B6139 ユビキタスシステムアーキテクチャ/UBIQUITOUS SYSTEM ARCHITECTURE C2097 ユビキタスサービス論/UBIQUITOUS INFORMATION SERVICE B6100 モノ創り実験工房/FOUNDATIONS OF NOVEL FABRICATION C2113 オープンデザイン実践/PRACTICE OF OPEN DESIGN |
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| Location | SFC |
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| K-Number | FPE-CO-05003-211-60 |
| Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 5 | Research Seminars | |
| Minor Classification | 00 | Seminar | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 60 | Information science, computer engineering, and related fields | |
Course Summary
What exactly is a robot that does not give discomfort to us and we can easily accept its existence as a part of everyday life? Now we obtain capabilities to access ubiquitous information spaces and our human ability and cognitive performance will be gradually enhanced. Robots will also be integrated well into the human life and helping us naturally. They will have rich sensory perception and expressive facial signals, and are going to be social partners for us. In this laboratory, we are discussing what kind of “sociality” robots should have in human robot interactions (HRI).
Course Description/Objectives/Teaching Method/Intended Learning Outcome
Social Interaction with Cloud Network Robots
“Making robots more acceptable..”
is the words of Professor Gordon Chen who leads ICS (Institute for Cognitive System) at Technische Universität München (TUM). What exactly is a robot that does not give discomfort to us and we can easily accept its existence as a part of everyday life? Now we obtain capabilities to access ubiquitous information spaces and our human ability and cognitive performance will be gradually enhanced. Robots will also be integrated well into the human life and helping us naturally. They will have rich sensory perception and expressive facial signals, and are going to be social partners for us. In this laboratory, we are discussing what kind of “sociality” robots should have in human robot interactions (HRI).
Being human, the behaviors with “sociality” will have an important meaning. Like communication skill to understand or sympathize with others, skill to recognize multiple contexts at the same time correctly and skill to create moderate intervals with interaction partners, ability to ensure social performance is various. Robots, and even everyday things, are also similar. An information system or a robot which has advanced interpersonal communication skill, can show correct judgement in all circumstances and be able to cooperate with people, robots, everyday things and various information services, such existence is probably an “acceptable” information system or robot.
Robots are interactive interfaces in real-world between users and ubiquitous information services. If the robot technology advances and many of objects in our everyday life are robotized, the cooperative world with such novel things “next generation IoT” will be opened. We call robots and IoT devices which provide a certain kind of sociality “Sociable Robots” and “Sociable Things”.
Robots that work as an edge terminals of cloud services are called a “Cloud Network Robots”. The architecture of the Cloud Network Robots which realizes cooperative operations among heterogeneous robots can be the base of Sociable Robots and Sociable Things. A wide variety of robots aim at achieving their goals while sharing information on services that each can provide, autonomously and adaptively forming communities corresponding to tasks they are faced with, and working together with various cloud services. Some of them will coexist with us as actors of ubiquitous and cloud information services and some will argument our human ability by making full use of M2M (Machine to Machine) communication and M2S (Machine to Service) communication.
The Cloud Network Robots are beginning to be implemented in various forms such as agent software on information devices like smart phones, communication robots, and personal mobility robots such as wheelchairs and EV vehicles. The technical issues of Cloud Network Robot are as follows.
- Cooperation and collaboration technologies among heterogeneous robots
- Data linkage technologies between robot and cloud information service
- Many-to-many human robot interaction technologies
In addition to these issues, we are discussing the following two more issues for Sociable Robots.
- Highly accurate perceptual processing and context recognition technologies for HRI
- Social and affective interaction technologies in HRI
From the viewpoint of the sociality, the perception and context capturing function possessed by robots themselves is an important factor in determining behaviors of robots in human interactions. We are focusing attention on the emotional recognition of the communication partner, that is, the acquisition mechanism of human’s emotional changes, which is indispensable for realizing “social and emotional interaction”, and have been exemplifying its principles, implementation methods, and application examples. We have exemplified many-to-many human robot interactions in various usage scenes by implementing “sympathizing robot”, “remote ice breaking robot system”, etc. Topics covered in this lab range over “pseudo-emotional behaviors of robot in HRI”, “the personality of robot naturally being built by HRI”, “creating moderate interval and proximity in HRI” and so on. They are examples of next generation social and emotional human robot interactions.
“Making robots more acceptable..”
is the words of Professor Gordon Chen who leads ICS (Institute for Cognitive System) at Technische Universität München (TUM). What exactly is a robot that does not give discomfort to us and we can easily accept its existence as a part of everyday life? Now we obtain capabilities to access ubiquitous information spaces and our human ability and cognitive performance will be gradually enhanced. Robots will also be integrated well into the human life and helping us naturally. They will have rich sensory perception and expressive facial signals, and are going to be social partners for us. In this laboratory, we are discussing what kind of “sociality” robots should have in human robot interactions (HRI).
Being human, the behaviors with “sociality” will have an important meaning. Like communication skill to understand or sympathize with others, skill to recognize multiple contexts at the same time correctly and skill to create moderate intervals with interaction partners, ability to ensure social performance is various. Robots, and even everyday things, are also similar. An information system or a robot which has advanced interpersonal communication skill, can show correct judgement in all circumstances and be able to cooperate with people, robots, everyday things and various information services, such existence is probably an “acceptable” information system or robot.
Robots are interactive interfaces in real-world between users and ubiquitous information services. If the robot technology advances and many of objects in our everyday life are robotized, the cooperative world with such novel things “next generation IoT” will be opened. We call robots and IoT devices which provide a certain kind of sociality “Sociable Robots” and “Sociable Things”.
Robots that work as an edge terminals of cloud services are called a “Cloud Network Robots”. The architecture of the Cloud Network Robots which realizes cooperative operations among heterogeneous robots can be the base of Sociable Robots and Sociable Things. A wide variety of robots aim at achieving their goals while sharing information on services that each can provide, autonomously and adaptively forming communities corresponding to tasks they are faced with, and working together with various cloud services. Some of them will coexist with us as actors of ubiquitous and cloud information services and some will argument our human ability by making full use of M2M (Machine to Machine) communication and M2S (Machine to Service) communication.
The Cloud Network Robots are beginning to be implemented in various forms such as agent software on information devices like smart phones, communication robots, and personal mobility robots such as wheelchairs and EV vehicles. The technical issues of Cloud Network Robot are as follows.
- Cooperation and collaboration technologies among heterogeneous robots
- Data linkage technologies between robot and cloud information service
- Many-to-many human robot interaction technologies
In addition to these issues, we are discussing the following two more issues for Sociable Robots.
- Highly accurate perceptual processing and context recognition technologies for HRI
- Social and affective interaction technologies in HRI
From the viewpoint of the sociality, the perception and context capturing function possessed by robots themselves is an important factor in determining behaviors of robots in human interactions. We are focusing attention on the emotional recognition of the communication partner, that is, the acquisition mechanism of human’s emotional changes, which is indispensable for realizing “social and emotional interaction”, and have been exemplifying its principles, implementation methods, and application examples. We have exemplified many-to-many human robot interactions in various usage scenes by implementing “sympathizing robot”, “remote ice breaking robot system”, etc. Topics covered in this lab range over “pseudo-emotional behaviors of robot in HRI”, “the personality of robot naturally being built by HRI”, “creating moderate interval and proximity in HRI” and so on. They are examples of next generation social and emotional human robot interactions.
Research Seminar Theme
Social Cloud Robotics - From Symbiotic and Collaborative Robots to Robots that Develop Together -
Project Theme (next semester)
Sociable Things, Robots and Information Services
Active Learning MethodsDescription
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Preparatory Study
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Textbooks
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Reference Books
Please refer to "Projects and Publications" on the web page of our research group.
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