Magnus Egerstedt is the Schlumberger Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he serves as Associate Chair for Research. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt is the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), a Fellow of the IEEE, and a recipient of a number of research and teaching awards, including the CAREER Award from the U.S. National Science Foundation.
Yancy Diaz-Mercado is a PhD candidate at the Georgia Institute of Technology. He is a member of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab) where his research interests include multi-robot coordination and motion planning using optimal and hybrid control. He obtained his Master of Science degree in Electrical Engineering from the Georgia Institute Technology in 2014. In 2011 he graduated magna cum laude from the University of Puerto Rico at Mayaguez with a Bachelor of Science degree in Electrical and Computer Engineering. Yancy is the recipient of numerous prestigious awards and fellowships, including second place at the first CSS Video Clip Competition and Outstanding Teaching Assistant Award. He is an Alfred P. Sloan Scholar, Louis Stokes Alliance Research Scholar, Otto and Jenny Krauss Fellow, as well as a GEM Fellow. As GEM Fellow, he is sponsored by The Johns Hopkins University Applied Physics Laboratory (JHU/APL) where he worked in the Guidance, Navigation & Control group for three consecutive summers.
Masayuki Fujita is a Professor at Tokyo Institute of Technology. He is also a Research Supervisor for Japan Science and Technology Agency (JST) Core Research for Evolutional Science and Technology (CREST). He received the Dr. of Eng. degree in Electrical Engineering from Waseda University, Tokyo, in 1987. Prior to his appointment at Tokyo Institute of Technology, he held faculty appointments at Kanazawa University and Japan Advanced Institute of Science and Technology. His research interests include passivity-based control in robotics, distributed energy management systems and robust control. He is the coauthor of the book "Passivity-Based Control and Estimation in Networked Robotics" (Springer, 2015). He was the CSS Vice President Conference Activities and a member of CSS Board of Governors. He served as the General Chair of the 2010 IEEE Multi-conference on Systems and Control. He was also the Head of SICE Technical Division on Control, the Chair of SICE Technical Committee on Control Theory and a Director of SICE. He has served/been serving as an Associate Editor for the IEEE Transactions on Automatic Control, the IEEE Transactions on Control Systems Technology, Automatica, Asian Journal of Control, and an Editor for the SICE Journal of Control, Measurement, and System Integration. He is a recipient of the 2008 IEEE Transactions on Control Systems Technology Outstanding Paper Award, and is a Plenary Lecturer of the 54th IEEE Conference on Decision and Control in 2015. He also received the 2010 SICE Education Award and the Outstanding Paper Awards from the SICE and ISCIE. He is a Fellow of SICE.
Meng Guo received the M.Sc. degree in System, Control and Robotics in 2011 from the Royal Institute of Technology (KTH), Sweden. Currently he is a Ph.D. student at the Department of Automatic Control, KTH. His main research interests are multi-agent systems, distributed control
and formal synthesis.
Alyssa Pierson is a PhD candidate in the Mechanical Engineering Department at Boston University, working in the Multi-Robot Systems Lab under Professor Mac Schwager. Her research interests focus on the coordination and control of multi-robot systems, particularly in heterogeneous groups. In 2012, she was awarded the Clare Boothe Luce Fellowship, which supports women in science and engineering. Alyssa received her bachelor's degree in engineering from Harvey Mudd College in 2010. In her free time, she is an avid skier and cyclist.
Maria Prandini received an M.S. degree in Electrical Engineering from Politecnico di Milano, Italy, in 1994 and a Ph.D. degree in Information Technology from the Università degli Studi di Brescia, Italy, in 1998. From 1998 to 2000 she was a visiting postdoctoral researcher at the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. She also held visiting positions at Delft University of Technology in 1998, Cambridge University in 2000, University of California at Berkeley in 2005, and Swiss Federal Institute of Technology in Zurich in 2006. From December 2002 she held positions at Politecnico di Milano, Italy, where she is currently an Associate Professor of Automatic Control at the Dipartimento di Elettronica, Informazione e Bioingegneria. Her main research interests include stochastic hybrid systems, randomized algorithms, constrained control design, system abstraction and verification, and the application of control theory to air traffic management and power networks. She currently serves on the editorial boards of IEEE Transactions on Control Systems Technology, Nonlinear Analysis: Hybrid Systems, and Cyber Physical Systems, and previously of European Journal of Control (2007 - 2013) and IEEE Transactions on Automatic Control (2009 - 2013). She is a member of the IFAC Technical Committee on Discrete Event and Hybrid Systems, of the IEEE Control Systems Society (CSS) Conference Editorial Board, and of the EUCA Conference Editorial Board. In 2013 she became editor for Electronic Publications of the IEEE CSS, and she is, among other things, responsible for the E-Letter on Systems, Control, and Signal Processing. Since January 1, 2015. she is member of the IEEE CSS Board of Governors.
Angela Schoellig is an Assistant Professor at the University of Toronto Institute for Aerospace Studies (UTIAS) and heads the Dynamic Systems Lab. With her team, she conducts research at the interface of robotics, controls and machine learning. Her goal is to enhance the performance and autonomy of robots by enabling them to learn from past experiments and from each other. Angela has been working with aerial vehicles for the past six years and, more recently, has applied her motion planning, control and learning algorithms to large, outdoor ground vehicles. Angela received her Ph.D. from ETH Zurich (at the Institute for Dynamic Systems and Control, with Prof. Raffaello D’Andrea), and holds both an M.Sc. in Engineering Science and Mechanics from the Georgia Institute of Technology (with Prof. Magnus Egerstedt) and a Masters degree in Engineering Cybernetics from the University of Stuttgart, Germany (with Prof. Frank Allgöwer). Her Ph.D. was awarded the ETH Medal and the 2013 Dimitris N. Chorafas Foundation Award (as one of 35 worldwide). She was selected as the youngest member of the 2014 Science Leadership Program, which promotes outstanding scientists in Canada. In 2013 she was named one of “25 women in robotics you need to know about” by Robohub.org, a leading professional robotics online platform. She was finalist of the 2008 IEEE Fellowship in Robotics and Automation, which supports prospective leaders in this field. Her past research has been published in journals such as Autonomous Robots and the IEEE Robotics & Automation Magazine, and has received coverage worldwide in mainstream TV, print and online media.
Dr. Xiaobo Tan is an Associate Professor in the Department of Electrical and Computer Engineering and Department of Mechanical Engineering (by courtesy) at Michigan State University. He received his bachelor’s and master’s degrees in automatic control from Tsinghua University, China, in 1995 and 1998, respectively, and his Ph.D. degree in electrical and computer engineering from the University of Maryland, College Park, in 2002. His research interests include bio-inspired underwater robots and their application to environmental sensing, electroactive polymer sensors and actuators, and modeling and control of systems with hysteresis. Dr. Tan has (co)authored one book (Biomimetic Robotic Artificial Muscles) and over 60 journal papers, and holds one US patent with two more pending. He is a recipient of the NSF CAREER Award (2006), MSU Teacher-Scholar Award (2010), and several Best Paper Awards.