September 4th: The Triumph of Light!
The Fourth Lucia PhD School on "Artificial Intelligence and Robotics"

Lectures and Teachers

Integration of AI and Robotics

Teachers

Photo Alessandro Saffiotti is full professor of Computer Science at ORU, where he heads the AASS Cognitive Robotic Systems Lab. He holds a MSc in Computer Science from the University of Pisa, Italy, and a PhD in Applied Science from the Universite Libre de Bruxelles, Belgium. His research interests encompass artificial intelligence, autonomous robotics, and technology for elderly people. He is the inventor of the notion of "Ecology of physically embedded intelligent systems", a new approach to include robotic technologies in everyday life, which has been applied in several projects. He has published more than 180 papers in international journals and conferences, his h-index is 40 in Google Scholar and 16 in the Web of Science. He has organized a large number of international events, and is the coordinator of the euRobotics topic group on "AI and Cognition in Robotics". He has participated in 14 EU projects, several EU networks, and many national projects. He is on the editorial board of Artificial Intelligence and of the International Journal on Social Robotics. He is a member of AAAI, a senior member of IEEE, and an EurAI fellow.

Contact: http://aass.oru.se/~asaffio

 

Probabilistic Planning with Formal Guarantees for Mobile Robots: A Tutorial (Teusday)

In this tutorial, we will discuss two requirements for robot applications that are to be deployed for long periods of time in everyday environments: reasoning about the inherent environmental uncertainty emerging both from the robots noisy sensor and actuators and the presence of humans that change the state of the environment; and providing formal guarantees on the robots behaviour, ensuring safe and efficient behaviour. In the first theoretical session, Nick will provide motivation for the need of the use of such techniques, and an overview of state-of-the-art approaches for planning for robots. In the second theoretical session, Bruno will focus on our work on the use of probabilistic model checking for the generation of policies for mobile robots with attached formal guarantees. In the practical sessions, the students will be arranged in small groups and have the opportunity to apply the presented techniques in simulation. Groups that finish the simulation exercises will have the opportunity to apply the techniques on one of ISRs MBOTs, implementing behaviours that use our approach for planning the execution of tasks based on the MBOTs available skills.

Prerequisites: Students are expected to have gone thrugh the reading assignments (see the private area section here) prior to the event.

Teachers

Photo Nick Hawes is a Reader in Autonomous Intelligent Robotics in the School of Computer Science at the University of Birmingham (BHAM). His expertise lies in the application of Aritifical Intelligence (AI) techniques (e.g. planning, spatial reasoning, probabilistic inference) to robots in order to generate intelligent, robust behaviour in challenging real world environments. He is the project coordinator of the £10M EU FP7 STRANDS project on long-term autonomy in everyday environments, PI on the CHIST-ERA project ALOOF, and has been PI or Co-I on other projects, to a total of £1.9M. Hawes has significant experience leading teams of researchers to successful outcomes in collaborative projects, and also in public engagement around robotics and AI.

Contact: http://www.cs.bham.ac.uk/~nah

Photo Bruno Lacerda received his Ph.D. in Electrical and Computing Engineering from the Instituto Superior Técnico, University of Lisbon, Portugal, in 2013. Currently, he is a research fellow at the School of Computer Science of the University of Birmingham, UK, working on the EU FP7 project STRANDS, where he is investigating the long term deployment of autonomous mobile robot systems. His research interests are in the use of formal approaches to specify and synthesise high-level controllers for robot systems, with attached meaningful formal guarantees. To achieve this goal, he his particularly interested in using formal verification, temporal logics, and planning under uncertainty approaches.

Contact: http://www.cs.bham.ac.uk/~lacerdab

 

Semantic Mapping: A Tutorial (Wednesday)

Teachers

Photo Daniele Nardi is Full Professor at Sapienza University of Rome, where he was employed since 1986. His current research interests are in the field of artificial intelligence and cognitive robotics (h-index 45 [Google scholar]). He is Trustee of RoboCup and past president of the RoboCup Federation, participating in sevral RoboCup leagues since1998. In 2006 he was the promoter of the RoboCup@Home league. From 2005-2008, he served as the co-chair of IEEE Technical Committee on Safety, Security and Rescue Robotics. Daniele Nardi received the "IJCAI-91 Publisher's Prize" and the prize "Intelligenza Artificiale 1993" from the Associazione Italiana per l'Intelligenza Artificiale (AI*IA). Currently, he is principal investigator of RoCKEU2 (FP7 CA), FLUORISH (H2020).

Contact: www.dis.uniroma1.it/~nardi

Photo Federico Nardi is PhD student at Sapienza University of Rome, where he graduated in 2014. His current research interests are in the field of Autonomous Navigation of wheeled robots and Semantic Mapping. During his master thesis he participated to the international research project TRADR (H2020). He's currently a member of the "Socialis robot PopulusQue Romanus et Lindensis" (SPQReL) team with which has participated to the European Robotics League Service Robots and will participate to the RoboCup@Home Social Standard Platform League 2017.

Contact: https://www.dis.uniroma1.it/~dottoratoii/students/306

 

Coperative Perception (Thursday)

Teacher

Photo Aamir Ahmad is currently a research scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he is leading the multi-UAV aerial outdoor motion capture project. Up to August '16 he was a Marie-Curie postdoctoral fellow at the Max Planck Institute for biological Cybernetics in Tübingen, Germany. He received his Ph.D. degree (with merit and European Doctorate) in Electrical and Computer Engineering from Instituto Superior Técnico (IST), University of Lisbon, Portugal in April 2013. He received his Bachelors degree, B-Tech.(with Honors), in Civil Engineering from the Indian Institute of Technology (IIT) Kharagpur, India in July 2008. From April 2013 to August 2014 he was a postdoctoral researcher at the Institute for Systems and Robotics (ISR), IST, Lisbon. His main research focuses on the fields of Bayesian sensor fusion, multi-robot systems, robot localization, object tracking, cooperative methods for tracking and localization and 3D object detection. He was a member of the ISR scientific board and a program committee member of the international conference on autonomous agents and multiagent systems (AAMAS) 2014, 2016 and the European Conference on Mobile Robotics (ECMR) 2013. He has served as a reviewer of various prestigious conferences and journals, e.g., ICRA, IROS, ECMR, Robotics and Autonomous Systems Journal, Autonomous Robots and International Journal of Social Robotics.

Contact: https://ps.is.tuebingen.mpg.de/person/aahmad

 

Planning as an Optimal Control Problem (Thursday)

Teacher

Photo Robert Krug received his diploma degree (MSc) in Mechatronics in Mechanical Engineering from the University of Technology in Graz, Austria in 2009 and a PhD in Control Theory from Örebro, University, in Örebro, Sweden in 2014. He currently holds a shared post-doc position at the Applied Autonomous Sensor System (AASS) Research Center, Örebro, Sweden and the Robotics, Perception and Learning lab, KTH Stockholm, Sweden. His main research focus lies on simultaneous motion planning and control for autonomous robotic systems. Here, applications of interest range from grasping and manipulation to mobile robot navigation.

Contact: http://www.aass.oru.se/Research/Learning/rtkg

 

Learning by Self-Exploration (Thursday)

Teacher

Photo Alexandre Bernardino is an Associate Professor at the Dept. of Electrical and Computer Engineering of IST-Lisboa and Senior Researcher at the Computer and Robot Vision Laboratory of the Institute for Systems and Robotics of IST-Lisboa. He has participated in several national and international research projects as principal investigator and technical manager. He published more than one hundred research papers on top journals and peer-reviewed conferences in the field of robotics, vision and cognitive systems. He is associate editor of the journal Frontiers in Robotics and AI and of major robotics conferences (ICRA, IROS). He is the chair or the IEEE Portugal RAS Chapter. His main research interests focus on the application of computer vision, machine learning, cognitive science and control theory to advanced robotics and automation systems.

Contact: http://users.isr.ist.utl.pt/~alex

 

Robot Competitions and AI (Thursday)

Teacher

Photo Matteo Matteucci (PhD in Computer Engineering and Automation, 2003, Politecnico di Milano) is an Associate Professor at POLIMI. He got a Master of Science in Knowledge Discovery and Data Mining at Carnegie Mellon University (Pittsburgh, PA), and a PhD in Computer Engineering and Automation at POLIMI. He has published more than 30 (peer-reviewed) papers on international journals and more than 100 (peer-reviewed) contributions to international conferences and book chapters. He is part of the Program Committee of several conferences on Artificial Intelligence and Robotics, he is in the Technical Committee of Intelligent Autonomous Vehicles of the International Federation of Automatic Control, and he serves as reviewer for international journals and main conferences in his field of expertise. He is deeply involved in the field of Robot Benchmarking; he participated as benchmarking expert in the FP7 EU funded RoSta Project; he has been an active participant to the Special Interest Group on Good Experimental Methodologies and Benchmarking of EURON, and he is one of the co-authors of the Review guidelines produced by the Special Interest Group; he has been one of the proposers of the euRobotics "Topic group on Benchmarking and Competitions" and currently member of the euRobotics Topic Group on "Experiment Replication, Benchmarking, Challenges and Competitions". He has been the Coordinator of the European project RAWSEEDS (2006-2009, http://www.rawseeds.org) a Specific Support Action in the FP6 for the development of a benchmarking toolkit for multi-sensor SLAM algorithms. He has been the National Scientific Coordinator (Principal Investigator) of the ROAMFREE project (2009-2013, http://roamfree.dei.polimi.it) for the development of method for the robust estimation of robot odometry by sensor fusion funded by the Italian Ministry for the University and the Research (MIUR) under the PRIN 2009 program. He has been the Principal Investigator for Politecnico di Milano (Partner) of the FP7 project RoCKIn (2013-2015, http://www.rockinrobotchallenge.eu/) for the design and execution of two international competitions for the benchmarking of autonomous robots in the home environment (RoCKIn@Home) and at work (RoCKIn@Work). He is currently the Principal Investigator for Politecnico di Milano in the H2020 RockEU2 (2016-2018) Coordinated Action within the workpackages devoted to the development of the European Robotics League and the establishment of distributed benchmarking competitions in Europe.

Contact: http://chrome.ws.dei.polimi.it

Photo Pedro U. Lima (Ph.D., Associate Professor) received the Licenciatura (5 years) and M.Sc degrees in Electrical and Computer Engineering from IST in 1984 and 1989, respectively, and the Ph.D. (1994) in Electrical Engineering from the Rensselaer Polytechnic Institute, NY, USA. Currently, he is a Professor at IST, Universidade de Lisboa, and a researcher of the Institute for Systems and Robotics, where he is the coordinator of the Intelligent Robots and Systems group. He is the co-author of two books, and Associate Editor of the Elsevier's Journal of Robotics and Autonomous Systems. His research interests lie in the areas of discrete event models of robot tasks and planning under uncertainty, with applications to networked robot systems. Pedro Lima is a Trustee of the RoboCup Federation (2003-2012, 2016-), and was the General Chair of RoboCup2004, held in Lisbon. He was President and founding member of the Portuguese Robotics Society, was National Delegate to EU and ESA Space Robotics programs and was awarded a 6-month Chair of Excellence at the Universidad Carlos III de Madrid, Spain in 2010. He was also the Coordinator of the FP7 Coordination Action RoCKIn and member of the Advisory Board of the Mohamed Bin Zayed International Robotics Challenge (MBZIRC), whose first edition took place in the United Arab Emirates in March 2017.

Contact: http://users.isr.ist.utl.pt/~pal

 

The View from Industry and Societal Issues (Friday)

Teachers

Photo Paulo Alvito, IDMind's CEO, CTO and co-founder. Received the Licenciatura (5 year degree) in Electrical and Computer Engineering from Instituto Superior Técnico, Tech. Univ. of Lisbon, Portugal, in 1995. Lectured Control, Robotics and Industrial Instrumentation at the School of Technology from the Polytech. Inst. of Setúbal, from 1997 to 2007. Previous R&D activities include: Robotic Vision applied to Mobile Robotic Navigation at the Milan Polytech. Univ. - Italy, under the European Research Network (ERNET); implementation of control architectures applied to mobile robots at the Intelligent Systems Lab of the Institute for Systems and Robotics (ISR/IST), Lisbon. Managing IDMind's activities in FP6, FP7 and H2020 research projects. Representing IDMind at the euRobotics AISBL and Lisboa Robotics cluster.

Contact: http://www.idmind.pt

Photo Amit Kumar Pandey is Head Principal Scientist (Chief Scientist), also serving as the scientific coordinator (R&D) of its various collaborative projects. Earlier for 6 years he worked as researcher in Robotics and AI at LAAS-CNRS (French National Center for Scientific Research), Toulouse, France. His Ph.D. thesis in Robotics (title: Towards Socially Intelligent Robots in Human Centered Environment), is the second prize winner (tie) of the prestigious Georges Giralt Award for the best Ph.D. Thesis in Robotics in Europe, awarded by euRobotics (the European Union Robotics Community). His current research interest includes Socially Intelligent Robots, Human Robot Interaction (HRI), Robot's Cognitive Architecture and Lifelong Learning. On these aspects, he has been actively contributing as principal investigator, researcher, and industrial scientific coordinator in various national and European Union (EU) projects, as well as involved in their design and proposal. Among other responsibilities, he is the founding coordinator of Socially Intelligent Robots and Societal Applications (SIRo-SA) Topic Group (TG) of euRobotics, and an active contributor in the Multi- Annual Roadmap (MAR) and Strategic Research Agenda (SRA) of euRobotics, which aim to shape the future of robotics in Europe in collaboration with European Commission (EC) through PPP SPARC (the largest civilian-funded robotics innovation programme in the world). He is also the recipient of Pravashi Bihari Samman Puruskar 2014 (Non Residential Bihari Honour Award), for Science, Technology and Education, one of the highest level civilian honors, awarded by the state of Bihar, India.

Contact: http://www.amitkpandey.com

 

 

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Last updated on June 3, 2017