Pedro J Sanz
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Pedro J. Sanz is Full Professor in the Computer Science and Engineering Department at Universitat Jaume I (UJI, Spain), and head of IRS-Lab (Interaction and Robotic Systems). He holds a B.Sc. in Physics by the University of Valencia (UV), M.Sc in Engineering (CAD/CAM) from the Technical University of Valencia (UPV) and a Ph.D. in Computer Engineering by UJI.
Sanz was a 1996 recipient of the “Best Thesis in Electronics and Computer Science Domains”, National Research Prize, from the “Artigas Spanish Foundation” (UPM, Madrid, Spain). Sanz has been active since 1990 in R&D within several projects on Advanced Robotics (e.g. Coordinator of European FP7-TRIDENT project, 2010-13) and continues (e.g. Coordinator of Spanish TWINBOT project, 2018-20). He is author or co-author of a broad range of research publications and is an active member of different scientific societies such as IEEE (RAS, SMC, OES), EUCog and euRobotics.
Sanz has been appointed as Visiting Scientist at different Universities, like TUM (GERMANY, 2000 and 2016), Blaise Pascal (FRANCE, 2002), Bologna (ITALY, 2008). He was a Member of the Advisory Committee of the IEEE Systems Council (2008-12) and the Humanoids Competition Chair during “2014 IEEE-RAS International Conference on Humanoid Robots” (Madrid, 2014). Chair of several Tutorials and Workshops within outstanding International Conferences on Robotics (IROS, IFAC, ICMA). Sanz has served as Associate Editor of some outstanding Journals (IEEE RAM, IEEE SMC Part C). He has been the Coordinator of the Spanish Robotics Network (CEA-IFAC, 2012-16), and his main research interests are devoted to Multisensory based Grasping and Dexterous Manipulation, Telerobotics and Human-Robot Interaction (HRI), all of them applied to real life scenarios, including assistive and underwater robotics.
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His research interests center on the grasping and manipulation skills for any kind of artificial systems (e.g. mobile manipulators). In order to succeed with uncertainty in unstructured domains, different perceptual capabilities are explored and some Artificial Intelligence approaches are investigating, including learning from experience and following a knowledge-based methodology. In particular, the main topics related with this research are: Multisensory based Grasping and Dexterous Manipulation, Telerobotics and Human-Robot Interaction, all of them applied to any kind of real service robotics scenarios, including assistive and underwater robotics.