The 2020 IEEE RAS Summer School on Multi-Robot Systems follows the great success of Summer Schools in Singapore, 2016 and in Prague, 2019. As in last year, the IEEE RAS Summer School on Multi-Robot Systems, 2020 will be held at the campus of Czech Technical University, located at the heart of the historical city Prague. The Summer School aims to promote the newest achievements in multi-robot system research to students, academic researchers and industrial practitioners to enable putting systems of cooperating robots into practice. The main scope of the 2020 IEEE RAS Summer School on Multi-Robot Systems will be swarm robotics, including lectures by well-recognized experts in the field, and hands-on experience with real-world experiments using state-of-the-art aerial platforms developed for Multi-Robot research.
The goal of 2020 summer school is to provide knowledge, ideas, and experiences of the best experts in the field of multi-robot systems in a comprehensive and effective way for students and young researchers working in this field. We want to provide you theoretical and practical overview required for getting your MRS research from scientific achievements into practical deployment and verification.
Based on your preference, you will be grouped with other students of the same research interest to strengthen networking and to gain deeper knowledge in the selected domain of MRS. During the group seminars, tasks relevant to an individual scope of students will be discussed and tackled.
Following the lectures, you will get an opportunity to implement the learnt methodology into a fully functional robotic system under the supervision of researchers with experience in field swarm robotics, towards the real experiments conducted at the end of the school.
One of the most attractive parts of the IEEE MRS Summer School is the practical exercise conducted by all summer school participants the last day of the event. The unique opportunity of putting hands on real aerial multi-robot systems enlarges gained knowledge and may be crucial in your consequent research. Students with the best performance of the final experiments will be awarded.
Each day of the summer school, a social evening program is organized to enable both, relaxing after tough lectures and exercises and networking among participants and lecturers. A variety of events take place, including Prague's tour, welcome and farewell parties, Czech pubs tour, and a banquet with a social program.
Enjoy a short video summarising the most important moments of the IEEE MRS Summer School 2019.
My main research interests are in the field of multi-robot systems and decentralized control. In particular, I’m working on coordination of multi-robot systems, decentralized strategies for connectivity maintenance, and emerging collective behaviors. I’m also interested in mobile robots in industrial environments, traffic coordination and advanced sensing techniques. I am one of the founders of the IEEE RAS Technical Committee on Multi-Robot Systems. The TC was founded in 2014, and since then I have been serving as the corresponding co-chair.
Shaojie Shen received his B.Eng. degree in Electronic Engineering from the Hong Kong University of Science and Technology (HKUST) in 2009. He received his M.S. in Robotics and Ph.D. in Electrical and Systems Engineering in 2011 and 2014, respectively, all from the University of Pennsylvania. He joined the Department of Electronic and Computer Engineering at the HKUST in September 2014 as an Assistant Professor. He is the founding director of the HKUST-DJI Joint Innovation Laboratory (HDJI Lab). His research interests are in the areas of robotics and unmanned aerial vehicles, with focus on state estimation, sensor fusion, localization and mapping, and autonomous navigation in complex environments. He was the regional program chair of SSRR 2017 and program co-chair of SSRR 2015. He is currently serving as associate editors for T-RO and AURO. He and his research team received Honorable Mention status for the 2018 IEEE T-RO Best Paper award, and won the Best Student Paper Award in IROS 2018, Best Service Robotics Paper Finalist in ICRA 2017, Best Paper Finalist in ICRA 2011, and Best Paper Awards in SSRR 2016 and SSRR 2015.
I was born in Rome, Italy. In 2001 I received the “Laurea” degree (M.Sc.) in Computer Science Engineering (“Ingegneria Informatica”) from the University of Rome “La Sapienza”, and in 2008 the Ph.D. degree in Systems Engineering from the same institution. From November 2007 to October 2008 I was a Postdoc at the Institute of Robotics and Mechatronics of the German Space Agency (DLR) in Munich, Germany, headed by Prof. Dr. Gerhard Hirzinger. From October 2008 until November 2012 I joined the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, as a Senior Research Scientist in the department of Prof. Heinrich H. Bülthoff. Over the years, I have created and led the “Human-Robot Interaction” group in the Bülthoff department. In December 2012 I joined the Lagadic team of Inria/IRISA, Rennes, France, as a CNRS Permanent Researcher (CR1). In October 2016 I was promoted to CNRS Research Director (DR2). Since January 2018 I am the scientific leader of the Rainbow Team at Inria/IRISA. My scientific interests include motion control for mobile robots and mobile manipulators, visual control of robots, active sensing, bilateral teleoperation, shared control, multi-robot estimation and control, aerial robotics. In general I like to tackle robotics problems by exploiting tools from systems theory, automatic control, estimation, planning. In 2008 I received an award for the best Italian PhD Thesis in Automatic Control, in 2009 the Best Video Award at ICRA’09, in 2015 the Best Associate Editor Award at ICRA 2015, and 2019 the IEEE RA-L 2018 Best Paper Award. I served in the Program Committee for RSS 2010, RSS 2011, RSS 2013, RSS 2016, RSS 2017, RSS 2018, and as Associate Editor for IROS 2011, IROS 2017. ICRA 2012–2019. In 2011 I was Guest Editor for The International Journal of Robotics Research, co-organizing the special issue “Autonomous Physical Human-Robot Interaction” which was published in November 2012. From September 2012 to October 2016 and from March 2018 to December 2018 I have served as Associate Editor for the journal IEEE Transactions on Robotics. Starting from January 2019, I am Editor for the journal IEEE Transactions on Robotics. In 2014, 2015 and 2019 I have served as Area Chair for the RSS Conference. In 2016 I have served as Workshop and Tutorial Chair for the IROS 2016 conference.
Alcherio Martinoli has a M.Sc. in Electrical Engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ), and a Ph.D. in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL). He is currently an Associate Professor at EPFL, leading the Distributed Intelligent Systems and Algorithms Laboratory. Before joining EPFL he carried out research activities at the Institute of Biomedical Engineering of the ETHZ, at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain, and at the California Institute of Technology, Pasadena, U.S.A. His research interests focus on methods to design, control, model, and optimize distributed cyber-physical systems, including multi-robot systems, sensor and actuator networks, and intelligent vehicles.
Dr. Marco Pavone is an Assistant Professor of Aeronautics and Astronautics at Stanford University, where he also holds courtesy appointments in the Department of Electrical Engineering, in the Institute for Computational and Mathematical Engineering, and in the Information Systems Laboratory. He is a Research Affiliate at the NASA Jet Propulsion Laboratory (JPL), California Institute of Technology. Before joining Stanford, he was a Research Technologist within the Robotics Section at JPL. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. Dr. Pavone’s areas of expertise lie in the fields of controls and robotics. Dr. Pavone is a recipient of an NSF CAREER Award, a NASA Early Career Faculty Award, a Hellman Faculty Scholar Award, and was named NASA NIAC Fellow in 2011. At JPL, Dr. Pavone worked on the end-to-end optimization of the mission architecture for the Mars sample return mission. He has designed control algorithms for formation flying that have been successfully tested on board the International Space Station. Dr. Pavone is the Director of the Autonomous Systems Laboratory (ASL). The goal of ASL is the development of methodologies for the analysis, design, and control of autonomous systems, with a particular emphasis on large-scale robotic networks and autonomous aerospace vehicles. The lab combines expertise from control theory, robotics, optimization, and operations research to develop the theoretical foundations for networked autonomous systems operating in uncertain, rapidly-changing, and potentially adversarial environments. Theoretical insights are then used to devise practical, computationally-efficient, and provably-correct algorithms for field deployment. Applications include robotic transportation networks, sensor networks, agile control of spacecraft during proximity operations, and mobility platforms for extreme planetary environments. Collaborations with NASA centers are a key component of the research portfolio.
Deployment of large teams of Micro Aerial Vehicles (MAVs) in real-world (outdoor and indoor) environments without precise external localisation or motion capture systems is very challenging. I will present the latest results of our endeavor towards fully autonomous compact flocks of MAVs with onboard artificial intelligence, which was achieved by the Multi-robot Systems group at the Czech Technical University in Prague together with Vijay Kumar Lab at the University of Pennsylvania. Stabilization, control, and motion planning techniques for steering swarms and formations of unmanned MAVs will be discussed in the talk. We shall focus on biologically inspired techniques that integrate swarming abilities of individual particles with a Model Predictive Control (MPC) methodology respecting the fast dynamics of unmanned quadrotors. Besides the basic principles of formation flying and swarm stabilization, examples of real-world applications of the introduced methods will be shown in complex indoor and outdoor experiments. First, we show how we use MAVs for indoor documentation of large historical objects (cathedrals) by formations of cooperating MAVs, where one MAV carries a camera and its neighbors carry light sources with the possibility to set a relative angle between the camera axis and the lights as required. Second, we demonstrate cooperative manipulation of large objects by a pair of MAVs developed for the international MBZIRC competition. Last, we present the fully autonomous flying robot Eagle.one hunting for unauthorized drones.
Tomáš Báča is one of the core members of the MRS group. His lecture will cover the structure of the MRS UAV platform and the seminar task for the summer school. Tomáš works on sensor-driven planning with drones using MPC control. He is persuading his Ph.D. in radiation localization using a swarm of UAVs.
Inventor of the Ant Colony Optimization metaheuristic for combinatorial optimization problems.
Agrégé de l'Enseignement Supérieur, Université Libre de Bruxelles, Belgium, 1995.
Ph.D. in System and Information Engineering, Politecnico di Milano, Italy, 1992.
He is the inventor of the Ant Colony Optimization metaheuristic for combinatorial optimization problems.
He is research director for the Belgian Fonds de la Recherche Scientifique.
He is co-director of the IRIDIA lab at the Université Libre de Bruxelles.
Patrik Schmuck is a Postdoctoral Researcher at the Vision for Robotics Lab at ETH Zurich. He received his M.Sc. in Computer Science from the University of Tubingen in 2015, and his Ph.D. in Collaborative Vision-based SLAM from the ETH Zurich in 2020, under the supervision of Prof. Margarita Chli. His research contributed to the first live demonstration of centralized collaborative SLAM with three small UAVs equipped with monocular sensors, dubbed 'CCM-SLAM', leading to the public release of this codebase. Follow up work demonstrated monocular-inertial collaborative SLAM in a centralized framework for the first time, while his current research focuses on leveraging the robustness and scalability of Multi-Agent SLAM, and its applicability to heterogeneous robotic and mobile devices.
Right now we are in the process of inviting speakers, so wait for new updates! We target to have 8 invited speakers from the best universities all around the world.