IURS05

Introduction

 
Summer School on Robotics and Neuroscience

This year the Robotic Intelligence Lab of Jaume-I University, has joined efforts with NEUROBOTICS to organize a major event on the interplay between the research fields of Robotics and Neuroscience, in collaboration with the Imperial College London (UK), Duke University (USA) and EURON, the European Robotics Research Network.

The school lecturers are leading world experts in neuroscience and robotics with cross-disciplinary experiences.

Related events include some tutorials and a workshop on relevant topics (IROS'00, IROS'04, IROS'05, IWINAC'05).

One of the goals of the school is to maximize interaction between all participants including time for formal lectures, practical work, relaxed discussions, social activities and leisure (have a look!).

Aims and scope

 
Summer School on Robotics and Neuroscience

The control of complex robotic systems requires the interaction of mechanisms for perception, sensorimotor coordination, and motor control. Many successful applications of neural computation to robotics have been developed, although most of these connectionist approaches were based on control theory formalisms. Only recently some new approaches are appearing that are largely inspired by current neurophysiological knowledge. This recent progress in biologically-inspired robotics suggests that a very promising track to be followed is the interplay between robotic research and the current understanding of the neural mechanisms underlying the behavior of living organisms. For instance, impressive state-of-the-art results show that monkeys chronically implanted with multielectrode arrays in the brain can learn to control a robot arm through a brain-machine interface. This new trend is being supported by the European Commission in different recent calls.

Engineering and computer science students interested in this new cross-disciplinary topic usually find it difficult to get introduced in the basic principles of Neuroscience that are relevant to robotics research, and usually get discouraged, lost in a mesh of new concepts, when they try to learn by themselves. This school has a double objective: first, to present to an audience with an engineering or computer science background, the basic insights and neural mechanisms that may be instrumental in solving problems in robotics. Second, to encourage students to get involved in this exciting new field by showing them the innumerable possibilities of the collaboration between neuroscience and robotics. For this reason, life sciences students interested in the field are equally welcome.

As long-term results of this cross-fertilization we would expect that as we learn more about the neurophysiology of living beings, we will be able to build better robots and, conversely, the construction and programming of robots may provide new hypothesis for the study of neural mechanisms.

Special attention will be devoted to:

  • Sensorimotor transformations:
    • Perception and Sensor Fusion
    • Motor Control
    • Visually-guided Manipulation and Grasping
  • Hybrid bionic systems:
    • Non-invasive Brain-Robot Interfaces
    • Invasive Brain-Robot Interfaces through cortical multi-electrode recordings
    • Neuroprosthetics for restoring motor and perceptual deficits
  • Neural correlates of higher cognitive functions
    • Perceptual-motor systems, imitation and social robots
    • Perception of postures, gestures, and actions performed by others
    • The neural mirror system: data and models

The participants will get in touch with other young researchers in the field and will have the opportunity to improve their knowledge through the tutorials given by experts. Another important objective is to provide graduate students a unique training opportunity in this emergent and fast-evolving domain. Students will closely interact for one week with some of the top-level researchers in the world in this domain. They will also have the opportunity to discuss their research work with these researchers, as well as with other students.

List of Lecturers/Organizers with short CV

 
Summer School on Robotics and Neuroscience
Lecturers Organization

Melvyn A. Goodale

Canada Research Professor in Visual Neuroscience
Department of Psychology and Physiology
University of Western Ontario, Canada
Tel: 661-2070 x82070 (office)
Email: mgoodale@uwo.ca
http://www.ssc.uwo.ca/psychology/faculty/goodale/

Curriculum Vitae

Dr. Goodale holds the Canada Research Chair in Visual Neuroscience in the Departments of Psychology and Physiology at the University of Western Ontario. He is best known for his work on the functional organization of the visual pathways in the cerebral cortex, and was a pioneer in the study of visuomotor control in neurological patients. His recent research uses functional magnetic resonance imaging (fMRI) to look at the activity in the normal human brain as it performs different kinds of visual tasks. He has also developed virtual-object technology to study the visual information used to program and control grasping movements. Dr. Goodale is currently Director of the CIHR Group on Action and Perception. In addition to his research activities, he has been active in developing the graduate program in Neuroscience at Western Ontario, for which he was awarded the prestigious E.G. Pleva Award for Contributions to Teaching in 1994. Dr. Goodale serves on the editorial board of a number of journals including Experimental Brain Research, Neuropsychologia, Brain and Mind, and Behavioural Brain Research. He is the past-President of the Association for the Scientific Study of Consciousness. In 1999 he was awarded the D.O Hebb Award by the Canadian Society for Brain, Behaviour, and Cognitive Science in recognition of his distinguished scientific achievements. In 2001, he was elected a Fellow of the Royal Society of Canada. His book with David Milner, 'The Visual Brain in Action' (Oxford University Press), has been quite influential. In it, he and Milner provide compelling arguments that the brain mechanisms underlying our conscious visual experience of the world are quite separate from those involved in the visual control of skilled actions. These ideas not only have implications for our understanding visual deficits in neurological patients, but also offer some new directions for the design of robots and artificial visual systems.

Related publications

  • Milner, A. D. & Goodale, M.A. (1995). The Visual Brain in Action. Oxford: Oxford University Press, 248 pp. (paperback 1996).
  • Goodale, M.A. & Milner, M.A. (2004). Sight Unseen: An Exploration of Conscious and Unconscious Vision. Oxford: Oxford University Press, 140 pp.
  • Goodale, M.A. & Humphrey, G.K. (1998). The objects of action and perception. Cognition, 67, 179-205
  • Goodale MA, Westwood DA (2004). "An evolving view of duplex vision: separate but interacting cortical pathways for perception and action", Curr Opin Neurobiol 14(2):203-11

Paolo Dario

Advanced Robotics Technology and Systems Laboratory
Scuola Superiore Sant'Anna
via G. Carducci, 40
56127 Pisa, Italy
Phone (+39) 050 883401, Fax (+39) 050 883402
dario@arts.sssup.it
http://www-arts.sssup.it/people/prof/pdario/pdario.htm

Curriculum Vitae

Paolo Dario has been, since 1986, an Associate Professor of Biomedical Engineering at the Scuola Superiore Sant'Anna in Pisa. Since 1992 he is also an Adjunct Professor of Mechatronics at the School of Engineering of the University of Pisa. At the Scuola Superiore Sant’Anna Prof. Dario established in 1989 the Advanced Robotics Technology and Systems (ARTS) Laboratory, and in 1991 the Microfabrication Technologies (MiTech) Laboratory. He is currently the Director of both laboratories. He currently teaches undergraduate and postgraduate courses in Medical Robotics at the Scuola Superiore Sant'Anna, and has developed, beginning 1992, a new undergraduate course in Mechatronics at the School of Engineering of the University of Pisa. He has scientific responsibilities in a number of european programs for undergraduate and postgraduate education in robotics and mechatronics, which aim at training students and researchers from industries jointly at different sites in european countries. Prof. Dario’s current research interests include microengineering, sensing and artificial perception in robotics, and medical applications of robotics, mechatronics and microengineering (especially to computer-assisted surgery, rehabilitation and space). In particular, he has been the scientific coordinator of two different studies on the application of micromechatronics to the space sector for ESA, and of a research project on micromanipulation of biological samples in space for the italian Space Agency (ESA). Prof. Dario is very active in the definition and scientific coordination of large national and international research projects (especially with support from the European Commission). At the moment, he is the Coordinator of 5 European projects. Prof. Dario is presently the co-chairman of the Technical Committee on Medical Robotics of the IEEE Robotics and Automation Society. He is a member of the Board of the International Foundation of Robotics Research, a Founding Member of the World Academy of Biomedical Technologies, and member of the Permanent Committes of many Conferences and Symposia in the fields of Robotics, Microengineering and Mechatronics.

Luciano Fadiga

Associate Professor of Human Physiology
Faculty of Medicine
Università di Ferrara,
Via Fossato di Mortara 17/19 - 44100 Ferrara – Italy
Phone: +39 0532 291338 Fax: +39 0532 291242
fdl@unife.it
http://web.unife.it/progetti/neurolab/

Curriculum Vitae

Born in 1961. M.D., Ph.D. Post-doctoral fellow at the University of Bologna from 1990. Senior Researcher at the University of Parma from 1992 Assistant Professor at the University of Parma from 1997. Associate Professor at the University of Ferrara from 2000. He has a long experience in electrophysiological investigation in monkeys (single neurons recordings) and humans (transcranial magnetic stimulation, study of spinal excitability and brain imaging). Among his contributions are the description of functional properties of monkey area F5, in which, in collaboration with the researchers of University of Parma, he found a set of neurons that discharge both when the monkey makes an action and observes an action made by another individual. It has been suggested that these neurons unify perception and action and are responsible for action understanding (mirror neurons). He further carried out experiments in humans with transcranial magnetic stimulation and in various brain imaging centers (San Raffaele-Milano, USC and UCLA-Los Angeles, HUT-Helsinki) demonstrating that a mirror system exists also in humans. Other fields of his research concern attention and its neuron mechanism in normal subjects and in patients. He is reviewer of many international journals in the field of Neuroscience. Luciano Fadiga was principal investigator in CNR projects on reaching-grasping, and is actually responsible of a Unit founded by the European Commission for the study of the brain mechanisms at the basis of action understanding. He is also co-investigator in Human Frontier Science Program and McDonnel-Pew founded projects. He participates in cross-disciplinary European projects involving neuroscience and robotics research.

Related publications

  • Rizzolatti G., Fadiga L., Gallese V., Fogassi L. Premotor cortex and the recognition of motor actions, Cogn. Brain Res., 1996, 3:131-141.
  • Gallese V., Fadiga L., Fogassi L., Rizzolatti G. Action recognition in the premotor cortex, Brain, 1996, 119:593-609.
  • Craighero L., Fadiga L., Rizzolatti G., Umiltà C. Action for perception: a motor-visual attentional effect. Journal of Experimental Psychology: Human Perception and Performance, 1999, 25: 1673-1692.
  • Craighero L., Fadiga L. New insights on sensorimotor integration: From hand action to speech perception, Brain and Cognition 53 (2003) 514-524
  • Gallese, V., Craighero, L., Fadiga, L. e Fogassi, L. (1999) Perception through action. Psyche An interdisciplinary journal of research on consciousness. http://psyche.cs.monash.edu.au/v5/psyche-5-21-gallese.html

John Hallam

The Maersk Mc-Kinney Moller Institute
for Production Technology
University of Southern Denmark
Campusvej 55DK-5230 Odense M Denmark
Phone (+45) 65 50 35 46 Fax (+45) 66 15 76 97
john@mip.sdu.dk
http://www.mip.sdu.dk/people/Staff/john.html

Curriculum Vitae

John Hallam (1958) is currently (2003-) Associate Professor of Robotics at the Maersk Institute at the University of Southern Denmark, and previously (1985-2002) was Lecturer/Senior Lecturer, and director (c. 1990-2002) of the Mobile Robotics Research Group, at the University of Edinburgh. Originally trained as a mathematician, he received a PhD in Artificial Intelligence from the University of Edinburgh in 1985. His interests include biomimetic robotics, robot navigation, cognitive modelling, evolutionary robotics and artificial intelligence. He has published around 110 papers on these topics. He is President of the International Society for Adaptive Behaviour. He participates in various cross-disciplinary projects funded by the European Union on Neuro-IT.

Related publications

  • Cavaco, S. and Hallam, J.C.T. (1999). A biologically plausible acoustic motion detection neural network, International Journal of Neural Systems 9(5): 453–459.
  • Hallam, J. C. T. and Malcolm, C. A. (1994). Behaviour: Perception, action and intelligence — the view from situated robotics, Philosophical Transactions of the Royal Society of London 349(1689): 29–42.
  • Carmena, J. M., Kampchen, N., Kim, D. and Hallam, J. C. T. (2001). Artificial ears for a biomimetic sonarhead: from multiple reflectors to surfaces, Artificial Life 7(2): 147–169.
  • Carmena J.M. and Hallam J.C.T. (2002). Estimating Doppler-shift using Bat-inspired Cochlear Filterbank Models: A Comparison of Methods for Echoes from Single and Multiple Reflectors. Adaptive Behavior, 9(3-4), pp.241-261, SAGE Publications.

Joseph McIntyre

Senior Scientist (Chargé de Recherche)
CNRS Laboratoire de Physiologie de la Perception et de l'Action
College de France
Phone: (+33) 1 44 27 14 31, Fax: (+33) 1 44 27 13 82
11 place Marcelin Berthelot 75005 Paris (France)
joe.mcintyre@college-de-france.fr

Curriculum Vitae

Joseph McIntyre is senior scientist at the Laboratory for Action and Perception in the National Research Centre of the College de France. He is involved in research on the elaboration of force information by the brain, with particular interest on the treatment of gravitational forces. He is especially renowned for his theory that the brain has a built-in internal model of the gravity law, based on an innovative ball-catching experiment conducted in space. According to Joe McIntyre and his colleagues, the brain is so accurate because it contains an internal model of gravity, which permits to anticipate, calculate and compensate for gravitational acceleration.

Related publications

  • J. McIntyre, M. Zago, A. Berthoz & F. Lacquaniti. Does the brain model Newton's laws? Nature neuroscience, Volume 4 Number 7 pp 693 – 694, July 2001.
  • Perception and Reproduction of Force Direction in the Horizontal Plane. David Toffin, Joseph McIntyre, Jacques Droulez, Andras Kemeny and Alain Berthoz. J Neurophysiol, July 23, 2003.
  • J. McIntyre, A. Berthoz and F. Lacquaniti (1998) Reference frames and internal models for visuo-manual coordination: What can we learn from microgravity experiments? Brain Research Reviews 28: 143-154.
  • M. Lipshits and J. McIntyre (1999) Gravity affects the preferred vertical and horizontal in visual perception of orientation. NeuroReport 10: 1085-1089.
  • Senot P, Prevost P, McIntyre J. Estimating time to contact and impact velocity when catching an accelerating object with the hand. J Exp Psychol Hum Percept Perform. 2003 Feb;29(1):219-37.
  • Prévost P., McIntyre J., Senot P., Berthoz A. & Slotine J.J. Do we catch free-falling objects as robots do? Third forum of European Neuroscience, Paris, 2002.

Andrew H. Fagg

School of Computer Science
200 Felgar Street
University of Oklahoma
Norman, OK 73019-6151
Office Phone: 405-325-8606
Fax: 405-325-4044
fagg@ou.edu
http://www.cs.ou.edu/~fagg/

Curriculum Vitae

Andrew Fagg holds a B.S. in Applied Math/Computer Science from Carnegie-Mellon University, and an M.S. and a Ph.D. in Computer Science from the University of Southern California. He served as a postdoctoral research associate and a senior research scientist at the University of Massachusetts, and is now a faculty member at Oklahoma University. His research centers around the symbiotic relationships between humans and machines. Specifically, he studies machines as models of how biological systems represent and learn motor and cognitive skills, primates as inspiration for new robot control and learning techniques, and the interaction of humans with machines. His research areas include robotics, artificial intelligence, machine learning, computational neuroscience, and wearable/ubiquitous computing.

Related publications

  • Shah, A., Fagg, A. H., Barto, A. G. (2004) Cortical Involvement in the Recruitment of Wrist Muscles, Journal of Neurophysiology, 91:2445 - 2456.
  • Barto, A. G., Fagg, A. H., Sitkoff, N., Houk, J. C. (1999) A Cerebellar Model of Timing and Prediction in the Control of Reaching, Neural Computation 11:565-594
  • Fagg, A. H., Arbib, M. A. (1998) Modeling Parietal-Premotor Interactions in Primate Control of Grasping, Neural Networks 11(7/8):1277-1303

Luc Berthouze

Neuroscience Research Institute (AIST)
Tsukuba Central 2
Umezono 1-1-1, Tsukuba 305-8568, Japan
Tel: +81-298-615369 Fax: +81-298-615841
Luc.Berthouze@aist.go.jp
http://staff.aist.go.jp/luc.berthouze/

Curriculum Vitae

Luc Berthouze received his Ph.D. in Computer Vision from the University of Evry (France) in 1996. He joined the Electrotechnical Laboratory (ETL) of Japan in 1995 as an invited researcher, and in 1996 as a permanent researcher. Since 2001, he is a research scientist at the Neuroscience Research Institute of AIST, Japan. He is also a Foreign Research Fellow at the University of Aizu, Japan. With research interests in developmental psychology, cognitive science, neuroscience and dynamical systems, he focuses on sensorimotor categorization and its role in the emergence of embodied. He has been co-chair with G. Metta of the 4th International Workshop on Epigenetic Robotics, and guest editor with T. Ziemke of a special issue on Epigenetics Robotics for Connection Science. His project with A. Tijsseling on learning to speech-read has been funded by a 5-years grant from the Japanese Ministry of Education.

Related publications

  • Lungarella, M., & Berthouze, L. (2002). On the interplay between morphological, neural and environmental dynamics: A robotic case-study . Adaptive Behavior, 10(3/4), 223–241.
  • Lungarella, M., & Berthouze, L. (2003). Learning to bounce: First lessons from a bouncing robot. Proceedings of 2nd International Symposium on Adaptive Motion of Animals and Machines.

Angel P. del Pobil

Robotic Intelligence Lab
Jaume-I University
Campus de Riu-Sec
E-12071 – Castelló de la Plana, Spain
Email: pobil%icc,uji,es
Web: http://www.robot.uji.es/people/pobil/
Tel: + 34 964 72 82 93; Fax: + 34 964 72 84 86

Curriculum Vitae

Angel Pasqual del Pobil is Professor of Computer Science and Artificial Intelligence at Jaume I University (Spain) and director of the Robotic Intelligence Laboratory. He holds a B.S. in Physics (Electronics, 1986) and a Ph.D. in Engineering (Robotics, 1991), both from the University of Navarra. His Ph.D. Thesis was the winner of the 1992 National Award of the Spanish Royal Academy of Doctors. He is Co-Chair of the Robot Motion & Path Planning Technical Committee of the IEEE Robotics and Automation and was Vice President of the International Society of Applied Intelligence (Texas, 1996-1999). He is author or co-author of more than 100 scientific publications --including one book Spatial Representation and Motion Planning (Springer)-- and co-editor of five books including Practical Motion Planning in Robotics (Wiley), and Springer LNCS/LNAI 1415 and 1416. Prof. del Pobil was co-organizer of several workshops (ICRA'96, ICRA'00, etc.) and he has been Program Co-Chair of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-98) and General Chair of the 8th and 9th International Conference on Artificial Intelligence and Soft Computing (2004-05). He has served on the program committees of 45 international conferences, such as IEEE ICRA, IROS, ICAR, CIRA, IAS, IEA/AIE, Int. Workshop on Artificial and Natural Neural Networks (IWANN), etc. He has been invited to give lectures on robotics and neuroscience in several occasions: plenary talk at IWANN’99, tutorials at IROS'00 and IROS’04, and in many universities across Spain. He acts as expert for the European Commission for many projects related to robotics and neuroscience. He has been involved in robotics research for the last eighteen years and has worked on different topics such as: motion planning, visually-guided grasping, sensorimotor transformations, visual servoing, self-organization in robot perception, neural and reinforcement learning for sensor-based manipulation, etc. Professor del Pobil has eighteen years of teaching experience and has been speaker of several tutorials in international conferences held in Melbourne, Berlin, Leuven, Takamatsu, Innsbruck, Sendai, etc.

Yiannis Demiris

Intelligent and Interactive Systems Group
Department of Electrical and Electronic Engineering
Imperial College of Science, Technology and Medicine
University of London, Exhibition Road, SW7 2BT
London, UK.
Tel: 020-759-46300, Fax (secretary): 020-759-46274
y.demiris@imperial.ac.uk
http://www.iis.ee.ic.ac.uk/yiannis/

Curriculum Vitae

Yiannis Demiris is a lecturer in Intelligent Robotics at the department of Electrical and Electronic Engineering at Imperial College since May 2001. He has organized five European workshops on topics related to robot learning, biologically-inspired machine learning, and developmental robotics. He was the guest editor for a special issue of Adaptive Behavior Journal on developmental robotics. He received a PhD in Intelligent Robotics from the University of Edinburgh in 1999, and a Bsc (Honours) in Artificial Intelligence and Computer Science from the same university in 1994. He has worked as a software engineer for Digital Equipment Corporation, between 1994 and 1995, as a teaching assistant at the department of Artificial Intelligence in Edinburgh University between 1995 and 1996, and as invited research scientist at the Electrotechnical Laboratory of the Agency for Advanced Industrial Science and Technology (AIST) in Japan, between Nov 1996 and May 1997. He has been the recipient of a junior scientist fellowship from the European Science Foundation, and a Center of Excellence fellowship from MITI, Japan. He is the leader of the Biologically Inspired Autonomous Robotics Team (BioART) at Imperial, where he works on the interplay between neuroscience and robotics.

Related publications

  • Interdisciplinary Approaches to Robot Learning , J. Demiris & A. Birk (Eds.), Robotics and Intelligent Systems Series, World Scientific, 2000, ISBN 981-02-4320-0, 250 pp (approx.). Related web pages: the book's homepage at World Scientific
  • Epigenetic Robotics: Modelling Cognitive Development in Robotic Systems, second intl. workshop, C. Prince, Y.Demiris, Y. Marom, H. Kozima, C. Balkenius (editors), Edinburgh, 2002; Lund University Cognitive Studies Series, ISBN 91-631-2677-X.
  • Distributed, predictive perception of actions: a biologically inspired robotics architecture for imitation and learning", Y. Demiris and M. Johnson, in Connection Science Journal, vol. 15:4, pp. 231-243, Dec 2003.
  • Imitation, Mirror Neurons, and the Learning of Movement Sequences, Y. Demiris, in Proceedings of the International Conference on Neural Information Processing (ICONIP-2002) , pp. 111-115, Singapore, November 2002 (IEEE Catalog Number: 02EX575).
  • Imitation of Human Demonstration Using A Biologically Inspired Modular Optimal Control Scheme, G. Simmons and Y.Demiris, in Proceedings of IEEE-RAS/RSJ International Conference on Humanoid Robots 2004, Los Angeles, USA

Jose Carmena

Assistant Professor
Dept. of Electrical Engineering & Computer Sciences
Helen Wills Neuroscience Institute
University of California, Berkeley
517 Cory Hall, Berkeley, CA 94720-1770, USA
Phone:510-643-2430, Fax:510-642-5745
carmena@eecs.berkeley.edu
http://www.eecs.berkeley.edu/~carmena

Curriculum Vitae

Jose M. Carmena received the B.S. and M.S. degrees in electrical engineering from the Polytechnic University of Valencia (Spain) in 1995 and the University of Valencia (Spain) in 1997. Following those, he received the M.S. degree in artificial intelligence and the Ph.D. degree in robotics both from the University of Edinburgh (Scotland, UK) in 1998 and 2002 respectively. From 2002 to 2005 he was a Postdoctoral Fellow in the laboratory of Miguel Nicolelis, Department of Neurobiology, and the Center for Neuroengineering at Duke University (Durham, NC). During this period he was the recipient of a Christopher Reeve Paralysis Foundation research award. In the summer of 2005 he was appointed assistant professor in the Department of Electrical Engineering and Computer Sciences, at the Helen Wills Neuroscience Institute at the University of California, Berkeley. He is a member of the IEEE (RAS and EMBS societies), Society for Neuroscience, and the Neural Control of Movement Society. His research interests include neural engineering (brain-machine interfaces; neuroprosthetics; biomimetic robotics), and systems and cognitive neuroscience (neural basis of sensorimotor control and learning; neural ensemble computation).

Related publications

  • Lebedev M.A., Carmena J.M., O’Doherty J.E., Zacksenhouse M., Henriquez C.S., Principe J.C., and Nicolelis M.A.L. (2005). Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a BMI. Journal of Neuroscience 25(19):4681:4693.
  • Patil P.G., Carmena J.M., Nicolelis M.A.L., and Turner D.A. (2004). Ensembles of human subcortical neurons as a source of motor control signals for a brain-machine interface. Neurosurgery 55(1), pp. 27-38.
  • J.M. Carmena, M.A. Lebedev, R.E. Crist, J.E. O'Doherty, D.M. Santucci, D.F. Dimitrov, P.G. Patil, C.S. Henriquez and M.A.L. Nicolelis (2003). Learning to control a brain-machine interface for reaching and grasping by primates. Public Library of Science Biology 1(2), pp.193-208.
  • M.A.L. Nicolelis, D. Dimitrov, J.M. Carmena, R.E. Crist, G. Lehew, J. Kralik and S. Wise (2003). Chronic, multisite, multielectrode recordings in macaque monkeys. Proceedings of the National Academy of Sciences USA 100(19), pp.11041-11046.
  • J.M. Carmena and J.C.T. Hallam (2002). Estimating Doppler-shift using Bat-inspired Cochlear Filterbank Models: A Comparison of Methods for Echoes from Single and Multiple Reflectors. Adaptive Behavior, 9(3-4), pp.241-261, SAGE Publications.
  • J.M. Carmena, N. Kaempchen, D. Kim and J.C.T. Hallam (2001). Artificial ears for a biomimetic sonarhead: from multiple reflectors to surfaces. Artificial Life, 7(2), pp.147-169, MIT Press.

Eugenio Guglielmelli

Associate Professor
Campus Bio-Medico University
Rome, Italy
E.Guglielmelli@unicampus.it

Curriculum Vitae

Eugenio Guglielmelli received the Laurea degree and the PhD in electronic engineering from the University of Pisa, Italy, in 1991 and in 1995, respectively. He is currently Associate Professor of Bioengineering at Campus Bio-Medico University in Rome, Italy, where he teaches the courses of Bio-Mechatronics and of Rehabilitation Bioengineering and where he also recently co-founded the new Research Laboratory of Biomedical Robotics & EMC. He has been working in the field of biomedical robotics over the last fifteen years at Scuola Superiore Sant’Anna where he served from 2002 to 2004 as the Head of the Advanced Robotics Technology & Systems Laboratory (ARTS Lab). His main current research interests are in the fields of novel theoretical and experimental approaches to human-centered robotics and to biomporphic control of mechatronic systems, and in their application to robot-mediated motor therapy, assistive robotics, and neuro-developmental engineering. He serves in the Editorial Board of the International Journal on Applied Bionics and Biomechanics. He has been Guest Co-Editor of the Special Issue on Rehabilitation Robotics of the International Journal 'Autonomous Robots'. He is member of the IEEE Robotics & Automation Society, of the IEEE Engineering in Medicine & Biology Society, of the Society for Neuroscience, and of the Association for the Advancement of Assistive Technology in Europe (AAATE). He served (2002-03) as Secretary of the IEEE Robotics & Automation Society (RAS) and he is currently Co-chair of the RAS Technical Committee on Rehabilitation Robotics. He serves in the Programme Committees of several International Conferences, such as ICRA, IROS, ICAR, AIM and others. He was/is a member of the Organizing Committees of ICAR2003, IROS2004, IFAC/SYROCO2006 and ICRA2007.

Related publications

  • L. Zollo, B. Siciliano, A. De Luca, E. Guglielmelli, P. Dario, “Compliance control for an anthropomorphic robot with elastic joints: Theory and experiments'', ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 127, September 2005, pp. 321-328.
  • P. Dario, M.C. Carrozza, E. Guglielmelli, C. Laschi, A. Menciassi, S. Micera, F. Vecchi, "Robotics as a Future and Emerging Technology: Biomimetics, Cybernetics and Neuro-Robotics in European Projects, IEEE Robotics and Automation Magazine, IEEE Press, USA, Vol. 12 No. 2, June 2005, pp. 29-45.
  • L. Zollo, L. Dipietro, B. Siciliano, E. Guglielmelli, P. Dario, ”A bio-inspired approach for regulating and measuring visco-elastic properties of a robot arm'', Journal of Robotic Systems, in press (2005).
  • S.Micera, M.C. Carrozza, E. Guglielmelli, G. Cappiello, F. Zaccone, C. Freschi, R. Colombo, A. Mazzone, F. Pisano, G. Minuco, P. Dario, “A simple robotic system for neurorehabilitation”, Int. Journal Autonomous Robots, in press (2005).
  • E.Guglielmelli G. Asuni, F. Leoni, A. Starita, P. Dario, “A Neuro-controller for Robot Arms Based on Biologically-Inspired Visuo-Motor Co-ordination Neural Models”, IEEE Handbook of Neural Engineering, M. Akay (Ed.), IEEE Press, in press (2005).

Eris Chinellato

Robotic Intelligence Lab
Jaume-I University
Campus de Riu-Sec
E-12071 – Castelló de la Plana, Spain
Tel: + 34 964 72 82 92; Fax: + 34 964 72 84 86
eris@icc.uji.es
http://www3.uji.es/~eris/

Curriculum Vitae

Eris Chinellato obtained the MSc with Honours in Artificial Intelligence from the University of Edinburgh (UK) in 2002, and was also assigned the Best AI Student Prize. For his master thesis on vision-based grasping he was supervised by R. B. Fisher. He previously received the Industrial Engineering degree from the Università degli Studi di Padova (Italy) in 1999, developing a graduation thesis on stock management based on fuzzy logic. He is now pursuing his PhD at the Robotic Intelligence Lab. of Universitat Jaume I, Castellón (Spain), under the supervision of A. P. del Pobil. He is interested in vision and grasping in both robotics and neuroscience. He published in influential journals and proceedings and participated in various international conferences and schools on intelligent robotics, neuroscience, computational neuroscience and neuroengineering. He collaborated with J. Culham and M. Goodale during a stay at the University of Western Ontario in 2004, performing fMRI and behavioural experiments related with vision-based grasping. His present goal is to develop a visual-based robotic grasping system inspired on the two visual streams of the human brain (action/perception), and thus able to mimic the human skills in integrating memories with instantaneous sensorial information.

Related publications

  • E. Chinellato and A.P. del Pobil. Vision and Grasping: Humans vs. Robots. In LNCS 3561, editors J. Mira, J.R. Álvarez, Springer-Verlag, pages 368-377, 2005.
  • A. Singhal, E. Chinellato, J.C. Culham, and M.A. Goodale. Dual-task interference is greater in memory-guided grasping than visually guided grasping. In Vision Sciences Society 5th Annual Meeting, Sarasota, Florida, May 2005.
  • E. Chinellato, A. Morales, R.B. Fisher, A.P. and del Pobil. "Visual features for characterizing robot grasp quality". IEEE Transactions on Systems, Man and Cybernetics (Part C), 35(1): 30-41, February 2005.
  • A Morales, E. Chinellato E., A. H. Fagg. and A.P. del Pobil. "Using experience for assessing grasp reliability". International Journal of Humanoid Robotics, 1(4): 671-691, December 2004. ISSN 0219-8436.
  • E. Chinellato, R.B. Fisher, A. Morales, Á.P. del Pobil. Ranking Planar Grasp Configurations for a Three-Finger Hand. In IEEE Intl. Conf. on Robotics and Automation, ICRA 2003, Taipei, Taiwan, pages 1133-1138.

Program

The pdf of the program can be found here.

 

Student Presentations and Posters

 
Summer School on Robotics and Neuroscience

For students wishing to present their work, some time will be available every day for short presentations (3-4 minutes). If you wish to present your work, please send us 3 slides (if possible .ppt) including:
1) your name and affiliation;
2) your research interests;
3) status of your research and plans.

A special poster session is programmed to allow larger presentations and further discussion on research topics.

Organization

 
Summer School on Robotics and Neuroscience
General Chair: Organization Chair:  
 
Angel P. del Pobil
Jaume-I University, Spain
pobil%icc,uji,es
Eris Chinellato
Jaume-I University, Spain
eris%icc,uji,es
 
Program chairs:    
Yiannis Demiris
Imperial College London, UK
y.demiris%imperial,ac,uk
Jose M. Carmena
University of California, Berkeley, USA
carmena%eecs,berkeley,edu
Paolo Dario
Scuola Superiore Sant’Anna, Italy
dario%arts,sssup,it
Alain Berthoz
College de France
alain,berthoz%college-de-france,fr

Advisory Committee:

  • Michael A. Arbib (University of Southern California, USA)
  • Peter F. Dominey (Institut des Sciences Cognitives, CNRS, France)
  • Luciano Fadiga (Università di Ferrara, Italy)
  • Andrew Fagg (University of Oklahoma, USA)
  • Melvyn A. Goodale (University of Western Ontario, Canada)
  • John Hallam (University of Southern Denmark, Denmark)
  • Joseph McIntyre (College de France, France)
  • Miguel Nicolelis (Duke University Medical Center, USA)
  • Jose Principe (University of Florida, USA)
  • Roland Johansson (Ume University, Sweden)
  • Henrik Christensen (Kungliga Tekniska HÃgskolan, Sweden)
  • Maria Chiara Carrozza (Scuola Superiore Sant'Anna, Italy)
  • Eugenio Guglielmelli (Università Campus Biomedico, Italy)
  • Juan Vicente Sánchez Andrés (Universidad La Laguna, España)

Local Organization:

  • Ester Martinez Martín
  • Miriam Martinez Martín
  • Mar Marcos López
  • Begoña Martinez Salvador
  • Patricio Nebot Roglá
  • Mario Prats Sánchez
  • Raúl Wirz
  • Pablo Dominguez Romo
  • Raúl Marín Prades
  • Enric Cervera Mateu
  • Pedro Sanz Valero
  • Gabriel Recatalá Ballester
  • Antonio Morales Escrig

Sponsored by:

Neurobotics logo

Contact Person:
Eris Chinellato
Robotic Intelligence Lab
Universtitat Jaume I
12071-Castelló (SPAIN)
TEL. +34 964 72 82 92
FAX. +34 964 72 84 86
eris@icc.uji.es