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Program

Last updated on 25 September. This conference program is tentative and subject to change.

ICSR 2012 Program Overview
TimeSunday
Oct 28, 2012
Monday
Oct 29, 2012
Tuesday
Oct 30, 2012
Wednesday
Oct 31, 2012
07:30-08:20Registration
08:20-08:30Opening Remarks
08:30-10:10 Pre-conference Workshop at UESTC

Optional Social Trips
Human augmentation, rehabilitation, and medical robots Robot Companions for CitizensPost-conference Workshop

Social Visits
10:10-10:30BreakBreak
10:30-11:45Social acceptance of robots and their impact to the society Interaction and collaboration among robots, humans, and environment
11:45-12:15Pitch for Interactive SessionPitch for Interactive Session
12:15-13:30LunchLunch
13:30-15:10Imagination, Play and Learning with Robots Interactive Behaviors in Human-Robot Interaction
15:10-16:00Interactive Session Interactive Session
16:00-17:30Early RegistrationSocial telepresence robots, embodiments and networks

Situated Interaction and Embodiment
Artificial Empathy

HRI through non-verbal communication and control
17:30-18:15Panel DiscussionAwarding and Closing Remarks
18:15Welcome ReceptionBanquet DinnerFarewell Drinks


Plenary Speakers | Interactive Presentations

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.
Plenary Speech Title
Robot Companions for Citizens
A Novel Integrated Approach Using Advanced Science and Technology to Address Societal Challenges and to Improve Quality of Life.

Abstract

Life for human beings was hard and dangerous without machines. When machines arrived, energy was stored, work transformed, and leisure time became everybody’s luxury. Machines also helped change women's role in society, and increase life expectancy.
However, today rapid demographic and social changes in our society are producing high impact consequences and problems requiring novel integrated solutions. A new kind of machines is needed coming to our rescue in case of natural or man-made disasters, doing work so degrading, or so dangerous, that nobody should do it, boosting workers' productivity, helping the ever increasing number of elderlies live an independent life, or simply, taking on chores all of us would gladly do without.
Robotics can offer such solutions, but at some conditions. In fact, today’s robots based on mechatronics have limitations, and cannot operate in complex real world conditions yet. As we ask more of them, they become too complex, inefficient, costly, difficult to control, and not safe enough to interact with people.
Thus, a new robotics is needed, one grounded on very different scientific foundations.
An integrated strategy for making robotics effective in addressing deep societal problems related to sustainable welfare and promoting an industrial leadership can be the one of "Robot Companions for Citizens".
In this lecture, the scientific and technological framework of this emerging field of Robotics will be presented and discussed.
Specifically, the social and economic challenges, along with the ethical issues, that are crucial for achieving the objectives of the Robot Companions and for the introduction of this generation of robots into society, will be discussed and possible solutions will be outlined.


Paolo DarioDr. Cynthia Breazeal

Cynthia Breazeal is an Associate Professor of Media Arts and Sciences at the Massachusetts Institute of Technology where she founded and directs the Personal Robots Group at the Media Lab. She is a pioneer of social robotics and Human Robot Interaction. She has authored the book "Designing Sociable Robots", has published over 100 peer-reviewed articles in journals and conferences on the topics of autonomous robotics, artificial intelligence, human robot interaction, and robot learning. She serves on several editorial boards in the areas of autonomous robots, affective computing, entertainment technology and multi-agent systems. She is also a member of the advisory board for the Science Channel and an Overseer at the Museum of Science, Boston. Dr. Breazeal is recognized as a prominent young innovator. She is a recipient of the National Academy of Engineering’s Gilbreth Lecture Award, Technology Review’s TR35 Award, and TIME magazine’s Best Inventions of 2008. She has won numerous best paper and best technology inventions at top academic conferences. She has also been awarded an ONR Young Investigator Award, and was honored as finalist in the National Design Awards in Communication.
Plenary Speech Title
Imagination, Play and Learning with Robots
Abstract
Imagining another’s perspective is an achievement in social cognition and underlies empathic concern and the ability to understand others as social beings. Imagination and the ability to engage in pretend play in children is closely related and serves as a powerful engine for learning about the world and others. In this talk, we consider simulation theory as a framework for imagining others' internal states as well as a means for imaginative play, and discuss the important role it serves not only for how children learn, but how robots can learn from people. We then focus on a set of projects where personified robots are designed to serve as learning companions for young children. We highlight findings that indicate that such robots are not only able to engage children's imaginations more deeply than purely on-screen media, but their social presence also helps to support adult caregiver participation in group play to foster children's second language learning. This also provides a rich context to study long-term interaction with social robots, an important challenge in the field of Social Robotics.

Hong ZhouDr. Hong Zhou

Dr. Hong Zhou is the head and senior engineer of the Soldier Support System Center of the Quartermaster Research Institute of the General Logistics Department of China Armed Force. He has obtained Ph.D. in management science in Renmin University of China (People University of China) in 2007, and M.S. in Management Information System for manufacturing in Cranfield University (UK) in 2005. In 2004, he worked as a visiting fellow for a short period in Royal Military College of Science in Swindon UK, where he did research in knowledge management of defence acquisition. He has done engineering research in soldier support system equipment since 1990s. From 2006, he began the research in strength enlargement exoskeleton and he advanced the concept of “Human-Mechatronic Coupling System Technology (2012)".
Plenary Speech Title
Human-Mechatronic-Hydraulic Coupling Technology for a Strength-Enlargement Exoskeleton Power System
Abstract
The concept of human-mechatronic-hydraulic coupling technology is presented for a strength-enlargement exoskeleton power system. The definition of strength-enlargement exoskeleton power system is given, and the structure of human-mechatronic-hydraulic coupling technology is analyzed. The system is constituted of a human motion law and three subsystems including mechanical structure, perceived control and power transmission. The design principle of each subsystem is also discussed in the talk.

Etienne BurdetDr. Etienne Burdet

Dr. Etienne Burdet is Reader in Human Robotics at Imperial College London. He has obtained a M.S. in Mathematics in 1990, a M.S. in Physics in 1991, and a Ph.D. in Robotics in 1996, all from ETH-Zurich. He was a postdoctoral fellow with Ted Milner (McGill, Canada), Ed Colgate (Northwestern, USA) and Mitsuo Kawato (ATR, Japan), between 1996 and 1999, where he did research in Neurophysiology and Human-robot Interaction, and Assistant Professor in Robotics at the National University of Singapore from 1999 to 2004. Dr. Burdet does research in human robotics and his main interest is in human-machine interaction. His group uses an approach integrating neuroscience and robotics to investigate human motor control, and design efficient assistive devices and virtual reality based training for rehabilitation and surgery.
Plenary Speech Title
A Theory of Interactive Motor Behaviors
Abstract
While the motor interaction between a robot and a human, or between humans, has important implications for society as well as promising applications, little research has been devoted to its investigation. In particular, it is important to understand the different ways two agents can interact and be able to generate suitable interactive behaviours. This presentation will thus introduces a framework for the description and implementation of interactive behaviours of two agents performing a joint motor task. A taxonomy of interactive behaviours will be defined, which uses a task classification based on simple questions, and cost functions that represent the way each agent interacts. The role of an agent interacting during a motor task can be directly explained from the cost function this agent is minimising and the task constraints. This framework will be used to interpret and classify previous works on human-robot motor interaction. Its implementation power will be demonstrated by simulating representative interactions of two humans and comparing with experimental results.