Plenary Lecture
A Framework and Integrated System for Intelligent Robotic Applications
Professor Angel P. Del Pobil
Department of Engineering and Computer Science
UJI Robotic Intelligence Laboratory
Universitat Jaume I
Spain
E:mail:apdpob@gmail.com
Abstract: I present an overview of our research efforts to build an intelligent robot capable of addressing real-world problems. Tombatossals, a multipurpose humanoid torso, integrates research accomplishments under the common framework of multimodal active perception and exploration for physical interaction and manipulation. Its main components are three subsystems for visuomotor learning, object grasping and sensor integration for physical interaction. Its actuators, sensors, software and computer architectures are described, along with a summary of employed techniques and results. The robot current abilities, including perception, manipulation and task execution, are also explained. Finally, I will summarize several challenges, experiments and projects showing the capabilities of the system. Our contribution to the integrated design of an intelligent robotic system is in this combination of different sensing, planning and motor systems in a novel framework. The talk will be partly based on my lastest three books titled: Robot Physical Interaction through the Combination of Vision, Tactile and Force Feedback, The Visual Neuroscience of Robotic Grasping, and Robust Motion Detection in Real-Life Scenarios, all published by Springer.
Brief Biography of the Speaker: Angel P. del Pobil is a professor at Jaume I University (Spain), where he was the founding director of the UJI Robotic Intelligence Laboratory. He has been Co-Chair of two Technical Committees of the IEEE Robotics and Automation Society and is a member of the Governing Board of the Intelligent Autonomous Systems (IAS) Society (2012-present) and EURON (European Robotics Research Network of Excellence, 2001-2009). He has over 250 publications, including 13 books, the last three published recently by Springer. Prof. del Pobil was co-organizer of some 50 workshops and tutorials including: five at ICRA (1996, 2000, 2010-2012), ten at IROS (2000, 2004-2013), three at RSS (2008-2010, 2012), ECAI'04, ICAR'05 and ACM/IEEE HRI 2010. He was Program Co-Chair of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence, and General Chair of the 13th International Conference on Adaptive Behaviour (SAB 2014) and of five editions of the International Conference on Artificial Intelligence and Soft Computing (2004-2008). He is Associate Editor for ICRA (2009-2015) and IROS (2007-2012) and has served on the program committees of over 130 international conferences, such as IJCAI, ICPR, ICRA, IROS, EUROS, IAS, ICAR, CIRA, etc. The UJI Robotic Intelligence Lab has organized 12 consecutive editions of IURS, the International UJI Robotics School. He has been General Chair for IURS 2005 on Robotics and Neuroscience, IURS 2006 on Humanoid Robots, IURS 2009 on Visuomotor Coordination, IURS 2012 on Perceptual Robotics and the 2015 IEEE-RAS Summer School on Experimental Methodology, Performance Evaluation and Benchmarking in Robotics. He has been involved in robotics research for the last 30 years. Professor del Pobil has been invited speaker of 63 tutorials, plenary talks, and seminars in 14 countries. He serves as associate or guest editor for 12 journals, and as expert for research evaluation at the European Commission, the US National Science Foundation and the Spain Ministry of Science. He has supervised 16 Ph.D. Thesis, including winner and finalists of the Georges Giralt EURON PhD Award and the Robotdalen Scientific Award Honorary Mention. He has been Principal Investigator of 30 research projects. Del Pobil is an active member of the IEEE Robotics and Automation Society and a lifetime member of the Association of the Advancement of Artificial Intelligence (AAAI). Recent projects at the Robotic Intelligence Lab funded by the European Commission include: FP6 GUARDIANS (Group of Unmanned Assistant Robots Deployed In Aggregative Navigation supported by Scent detection), FP7 EYESHOTS (Heterogeneous 3-D Perception Across Visual Fragments), and FP7 GRASP (Emergence of Cognitive Grasping through Emulation, Introspection, and Surprise).