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International UJI Robotics School

Past lecturers

Here you can find a short description of all the lecturers who has participated in the IURS since 2000.

 

Organization

 

 

 

 

del Pobil, Angel P.

Robotic Intelligence Lab
Jaume-I University
Campus de Riu-Sec
E-12071 – Castelló de la Plana, Spain
Phone: (+34) 964-728-293, Fax: (+34) 964-728-486
pobil@icc.uji.es
http://www.robot.uji.es/people/pobil/

 

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 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.

 

 

 

Demiris, Yiannis

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.
Phone: (+44) 020-759-46300, Fax (secretary): (+44) 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.

 

 

 

Carmena, Jose M.

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: (+1) 510-643-2430, Fax: (+1) 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).

 

 

 

Chinellato, Eris

Robotic Intelligence Lab
Jaume-I University
Campus de Riu-Sec
E-12071 – Castelló de la Plana, Spain
Phone: (+34) 964-728-292, Fax: (+34) 964-728-486
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 obtained 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.

 

 


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