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2012 Workshop on Social Robotics (2012年社会机器人高峰论坛)

Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. Computer science, and in particular robotics, offers a complementary perspective on the study of human behavior. Social robotics interacts and communicates with humans or other autonomous physical agents by following social behaviors for improving the lives of humans worldwide. The objective of this workshop is to discuss the state-of-the-art in social robotics. The workshop will be held on October 28, 2012 and October 31, 2012, at the new campus of University of Electronic Science and Technology of China, Chengdu, China. It will focus on presentations on advances in social robotics with opportunities in various application areas and provide a forum for exchanging ideas, discussing frontiers and emerging advances related to social robotics.

Date28 October 2012 and 31 October 2012
VenueUniversity of Electronic Science and Technology of China, Chengdu, China
Organizing Committee Shuzhi Sam Ge, University of Electronic Science and Technology of China
Wei He, University of Electronic Science and Technology of China
Jianxiao Zou, University of Electronic Science and Technology of China
Organizer School of Automation Engineering, University of Electronic Science and Technology of China
Sponsor University of Electronic Science and Technology of China

Invited Speakers

Paolo Dario
Professor Paolo Dario

Paolo Dario is Professor of Biomedical Robotics and Director of The BioRobotics Institute of the Scuola Superiore Sant'Anna, Pisa, Italy. He received his Dr.Eng. Degree in Mechanical Engineering from the University of Pisa in 1977 and then he was visiting researcher and professor at Brown University, USA, at EPFL, Switzerland; at College de France, France; at Polytechnic University of Catalunya, Spain; at Zhejiang University, China; and at Waseda University, Japan. His main research interests are in the fields of medical robotics, bio-robotics, mechatronics and micro/nano engineering, and in robotics for surgery, for rehabilitation and for services. He is the coordinator of many national and European projects, and the author of more than 300 scientific papers (more than 200 on ISI journals). He has been and is Editor-in-Chief, Associate Editor and member of the Editorial Board of many international journals. Prof. Dario is an IEEE Fellow, a Fellow of the European Society on Medical and Biological Engineering, and a recipient of many honors and awards, such as the Joseph Engelberger Award. He is also a member of the Board of the International Foundation of Robotics Research (IFRR) and a Fellow of the School of Engineering, University of Tokyo. Prof. Dario served as President of the IEEE Robotics and Automation Society in the years 2002-2003

Mary-Anne Williams
Professor Mary-Anne Williams

Professor Mary-Anne Williams is a robotist and knowledge engineer, Director of the Magic Lab, and Associate Dean (R&D) in the Faculty of Engineering and IT at the University of Technology, Sydney (UTS). Mary-Anne is a Guest Professor at the University of Science and Technology China and Fellow at the Stanford University. Mary-Anne has a passion for innovation, science, technology and engineering. She is Team Leader of the University Robot Soccer teams since 2002 and leading the UTS Social Robotics Project. Mary-Anne is Program Chair for the 2012 International Conference on Social Robotics in Chengdu, Chair of Knowledge and Innovation in the Strategic Management Society, Review Editor for the Artificial Intelligence Journal, and on the Editorial Board for AAAI/MIT Press. She works with her research team in the Magic Lab to bring science fiction to reality; together they design autonomous mobile robots that can learn, adapt, and collaborate with people.

Speech Title
Social Robotics: The Next Big Challenge

Abstract
The field of robotics has matured considerably since the 1960s. Recent advances in sensor and actuator technologies and robot software algorithms has seen a new generation of integrated robots stepping out robotics labs into society world-wide. Many of the traditional robot engineering challenges have been addressed, as witnessed by the revolution in autonomous vehicles, adaptive manufacturing robots, and the emergence of the Robot Operating System. This talk will explore some of these exciting advances and highlight the new research challenges in robotics that arise when robots collaborate with people in social settings.

Henrik Scharfe
Professor Henrik Scharfe

Henrik Scharfe holds a MA in Humanistic Computer Science and a PhD in Human Centered Informatics. For many years, he has been an active researcher in the cross-fields of human and technical sciences.
In 2007, Henrik Scharfe took up direction of Aalborg University’s Center for Computer-mediated Epistemology. His latest project, Geminoid-DK, features an android copy of himself and has attracted worldwide attention. The android, affectionately known as “The DK”, continues to spark interest and raise questions regarding the interplay between man and machine in our technological future.
The thoughts and theories of what Henrik Scharfe calls the Android Reality has earned him numerous invitations to speaking events around the world, including TED2012, and a position amongst the 100 most influential people in the world according to TIME Magazine.
See more about the Geminoid-dk project at:
www.geminoid.dk
www.youtube.com/user/GeminoidDK
www.facebook.com/pages/Geminoid/165003313547811

Speech Title
Now is the Time for Convergence

Abstract
Current trends in robotics hold tremendous promise for the next decade of research. We witness astonishing advances in HRI, modular robot morphology, bio-inspired robots, hybrid systems, cloud and crowd controls, and many more. Much of current research and development are, however, only visible in a highly fragmented form. And this poses a significant challenge to our thinking about future robotics. If we really want to realize the potential of current advances, it is time to rethink. We need to rethink our use of research infrastructures, as well as our practices for collaboration and assessment. A high level of mutual respect and commitment will be a crucial factor in reaching future goals in robotics. Now is the time to rethink. Now is the time for convergence.

John-John Cabibihan
Dr. John-John Cabibihan

John-John Cabibihan was conferred with a PhD in biomedical robotics from the Scuola Superiore Sant’Anna, Pisa, Italy in 2007. At present, he is an Assistant Professor at the Department of Electrical and Computer Engineering of the National University of Singapore. Concurrently, he serves as the Deputy Director of the Social Robotics Laboratory, Associate Editor of the International Journal of Social Robotics, and elected Chair of the IEEE Systems, Man and Cybernetics Society (Singapore Chapter; terms: 2011 and 2012). His inventions and scientific discoveries have been featured by BBC's The Why Factor, New Scientist, MIT Technology Review, Discovery Channel News, and Popular Science, among others.

Speech Title
Touch and Gestures for Social Robotics and Prosthetics

Abstract

Touch and gestures are essential elements of nonverbal communication in humans. As anthropomorphic robots are being designed to co-exist with humans and advanced prosthetics are being interfaced to humans as bionic limbs, we should then understand how robotic touch and gestures can affect the human interaction partner. This talk presents some of the core technologies and original human-robot interactions experiments that we have completed. First, I describe patient-specific prosthetics fabrication technologies for replicating human limbs. With that platform, I will show how lifelike softness and warmth can be replicated. I will extend the discussion to perception experiments wherein touch from artificial hands can be perceived as if the touch came from a human hand. Then, I will describe human-to-human handshake experiments and provide insights on how the next generation robotic hands can benefit from our results. Lastly, I will describe how telerobotic pointing gestures shape human spatial cognition and which iconic gestures by a humanoid robot can be easily recognized by human observers.


Jaap Ham
Dr. Jaap Ham

Dr. Jaap Ham is associate professor of human-technology interaction at Eindhoven University of Technology, The Netherlands. His research focus is on the social-cognitive characteristics of human-technology interaction. More specifically, he studies questions concerning persuasive technology, persuasive robotics, and ambient (persuasive) intelligence. Jaap Ham publishes his work in high-impact journals (e.g., JESP, JPSP, Social Cognition, IJSR, Human Factors) and conferences (e.g., HRI-2009, Persuasive, AISB, ICSR, and Environmental Psychology), and is associate editor of the International Journal on Social Robotics.

Speech Title
Persuasive Technology (e.g., robots, lighting) to Stimulate Sustainable and Healthy Behavior

Abstract

For solving many societal issues (e.g., related to sustainability and health) technological innovations alone are not enough: Human behavior also needs to change. For example, new medication may lower blood pressure more effectively, but patients must also correctly and timely take their pills, and innovations may allow more household energy saving (e.g., peak shaving washing machine), but users must also be persuaded to hand over control to them (e.g., over start-time). To help attain these societal goals, Persuasive Technology can be used to influence human behavior, and/or their thinking.
In this presentation, I will first introduce our research group investigating Persuasive Technology at Eindhoven University of Technology. Next, I will present research investigating how Persuasive Technology can be used to influence sustainable behavior and health behavior. I will describe various forms of technology to influence users: Persuasive Robots, Persuasive Lighting, etc. Also, I will spend attention to details of the interaction between humans and artificial social agents (e.g., robots, avatars): An important question for example is how to generate artificial facial expressions that are evaluated as intended. Also, I will present a new research project on voice perception and listener type. Finally, I will discuss options for collaboration in research (e.g., collaborative grant proposals, CSC PhD-student grants), and teaching (e.g., student exchange).


Raymond Cuijpers
Dr. Raymond Cuijpers

Raymond H. Cuijpers graduated in Applied Physics at the Eindhoven University of Technology (NL) in 1996. He received his Ph.D. degree in Physics of Man from Utrecht University in 2000. He did a postdoc on the role of shape perception on human visuo-motor control at Erasmus MC Rotterdam. In 2004 he did a second postdoc at the Radboud University Nijmegen in the context of the European FP6 project called Joint Action Science and Technology (JAST), where he studied cognitive models of joint action. Since 2008 he is assistant professor at the Eindhoven University of Technology (NL). Currently, he is also project coordinator of the European FP7 project Knowledgeable SErvice Robots for Aging (KSERA). In this context he studies how robots can autonomously interact with humans for helping older persons.

Speech Title
Smart robots for healthy ageing

Abstract
Robots could potentially extend smart home environments and help older people to live longer independently in their own homes. Clearly, such a robotic system could help reduce future health care costs. However, placing a robot in the homes of older people introduces many unsolved issues. The robot should be able to move about in cluttered and unknown environments, it should be able to approach a person, it should communicate, take context into account, respond and interact, make decisions and so on. What do users need in the first place? What are the requirements? How about ethical issues?
Many of these issues are addressed in the KSERA project. From cognitive psychology we know that humans interact by internally simulating another person’s behavior. In this way the human brain is able to predict and infer the goals of another person. Robots on the other hand typically behave unlike humans as a result of which their behavior becomes unpredictable. They do not interact in an understandable ways causing them to appear clumsy and unintelligent. Here we report how recent insights in cognitive psychology can help build robots that take human-robot interaction to the next level and that, ultimately, can be used to help older persons at home.