About Conference
Robotics and Computer Science World Forum will take place in Amsterdam, Netherlands from October 04-06, 2021. Organized by Continuum Forums, the forum brings together researchers from all over the world concerned with all areas of robotics for a focused gathering to present latest research and developments in robotics and computer science.
The premier international platform will include several plenary sessions, contributed paper sessions, tutorials, keynote talks, invited lectures, discussions, workshops, an exhibition and oral and poster presentations focusing on current research outcomes in these flourishing fields.
This three-day event will bring together eminent scientists, researchers, software engineers, robotics professionals, students and professionals from industry and academia working in the disciplines of robotics and engineering to focusing on the possibilities of computer science and robotics to accelerate business performance and work-force efficiency. It will cover a wide range of aspects in these interesting fields while analyzing growth prospects, market trends and restraints. It will further discuss everyday challenges in professionals in these fields encounter and offers possible solutions by facilitating networking opportunities between industry professionals and policy makers.
Researchers in robotics and computer science, software professionals, and a growing number of entrepreneurs from all over the world will come together to discuss technology and market trends and analyze how innovation in robotics and computer science can be further accelerated to help communities around the world. We hope this conference will provide the opportunity for all participants to learn about the most recent developments and to exchange views on future directions in robotics and computer science.
We look forward to welcoming you to RoboComp-2021 in Amsterdam, Netherlands.
January 26, 2021
Abstract Submission EndsFebruary 22, 2021
Early Bird Registration EndsMay 24, 2021
Standard Registration EndsPlenary Speakers
Zhongping Jiang
New York University
USA
Zhong-Ping JIANG received the M.Sc. degree in statistics from the University of Paris XI, France, in 1989, and the Ph.D. degree in automatic control and mathematics from the Ecole des Mines de Paris (now, called ParisTech-Mines), France, in 1993, under the direction of Prof. Laurent Praly. Currently, he is a Professor of Electrical and Computer Engineering at the Tandon School of Engineering, New York University. His main research interests include stability theory, robust/adaptive/distributed nonlinear control, robust adaptive dynamic programming, reinforcement learning and their applications to information, mechanical and biological systems. In these fields, he has written five books and is author/co-author of over 450 peer-reviewed journal and conference papers. Dr. Jiang has served as Deputy Editor-in-Chief, Senior Editor and Associate Editor for numerous journals. Prof. Jiang is a Fellow of the IEEE, a Fellow of the IFAC, a Fellow of the CAA and is among the Clarivate Analytics Highly Cited Researchers.
Emmanouil M Tentzeris
Georgia Institute of Technology
USA
Professor Emmanouil (Manos) M. Tentzeris was born and grew up in Piraeus,Greece. He graduated from Ionidios Model School of Piraeus in 1987 and received the Diploma (Suma Cum Laude) from the National Technical University in Athens, Greece in 1992 and the M.S. and Ph.D. degrees in Electrical Engineering andComputer Science from the University of Michigan, Ann Arbor in 1993 and1998, respectively. He joined the Georgia Tech School of Electrical and Computer Engineering in 1998.
Francesco Bullo
University of California
USA
Francesco Bullo is a Professor with the Mechanical Engineering Department and the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara. He served on the editorial boards of IEEE, SIAM, and ESAIM journals and as IEEE CSS President. His research interests focus on network systems and distributed control with application to robotic coordination, power grids and social networks. He is the coauthor of “Geometric Control of Mechanical Systems” (Springer, 2004), “Distributed Control of Robotic Networks” (Princeton, 2009), and "Lectures on Network Systems" (Kindle Direct Publishing, 2020, v1.4). He is a Fellow of IEEE, IFAC, and SIAM.
Xinghuo Yu
RMIT university
Australia
Distinguished Professor Xinghuo Yu provides strategic oversight of the development of RMIT’s research capability across the University and how these capabilities can be deployed to drive impact in research and innovation. In 2007, he led a team of RMIT researchers to establish RMIT’s Platform Technologies Research Institute which became the highest performing research institute at RMIT until it ceased operation in 2015. Professor Yu is President of the IEEE Industrial Electronics Society (IES) for 2018-2019, having previously served as Vice-President (Publications). He was named a Highly Cited Research by Clarivate Analytics (formerly Thomson Reuters), in 2015, 2016 and 2017. Not only is he an IEEE Fellow, he also holds Fellowship of the Institution of Engineering and Technology UK, Engineers Australia, Australian Computer Society, the Australian Institute of Company Directors, and the International Energy Foundation. Professor Yu has worked extensively with industry. He was on the Board of Governors of the Australian Photonics Cooperative Research Centre (CRC) (2003-2006) and on the Science Advisory Committee of the Advanced Manufacturing CRC (2008-2013). He is a Director of Oceania Cyber Security Centre Ltd. He joined RMIT University in 2002, and was appointed to the position of Associate Dean (Research & Innovation) in the Faculty of Engineering in 2003 which then became the College of Science, Engineering and Technology in 2004, before taking the Institute Directorship in 2008. Prior to joining RMIT University, Professor Yu was Associate Dean (Research) of the Faculty of Informatics and Communication at Central Queensland University. He also held a Personal Chair in Intelligent Systems. Professor Yu’s research interests include nonlinear and discontinuous control, complex and intelligent systems, and industrial information technologies. He published over 500 articles in journals, books and conference proceedings. He received a number of awards and honours for his contributions, including 2013 Dr-Ing. Eugene Mittelmann Achievement Award of the IEEE Industrial Electronics Society and 2018 M. A. Sargent Medal from Engineers Australia.
Gregory Dudek
McGill University
Canada
Gregory Dudek is a Professor with the School of Computer Science and a member of the McGill Research Centre for Intelligent Machines (CIM) and an Associate member of the Dept. of Electrical Engineering at McGill University. In 9/2008 he became the Director of the McGill School of Computer Science. Since 2012 he has been the Scientific Director of the NSERC Canadian Field Robotics Network (NCFRN): http://ncfrn.mcgill.ca He is the former Director of McGill's Research Center for Intelligent Machines, a 25 year old inter-faculty research facility. In 2002 he was named a William Dawson Scholar. In 2008 he was made James McGill Chair. In 2010 he was awarded the Fessenden Professorship in Science Innovation. In 2010 he was also awarded the Canadian Image Processing and Pattern Recognition Award for Research Excellence and also for Service to the Research Community. He directs the McGill Mobile Robotics Laboratory. He has been on the organizing and/or program committees of Robotics: Systems and Science, the IEEE International Conference on Robotics and Automation (ICRA), the IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS), the International Joint Conference on Artificial Intelligence (IJCAI), Computer and Robot Vision, IEEE International Conference on Mechatronics and International Conference on Hands-on Intelligent Mechatronics and Automation among other bodies. He is president of CIPPRS, the Canadian Information Processing and Pattern Recognition Society, an ICPR national affiliate. He was on leave in 2000-2001 as Visiting Associate Professor at the Department of Computer Science at Stanford University and at Xerox Palo Alto Research Center (PARC). During his sabbatical in 2007-2008 he visited the Massachusetts Institute of technology and co-founded the company Independent Robotics Inc. He obtained his PhD in computer science (computational vision) from the University of Toronto, his MSc in computer science (systems) at the University of Toronto and his BSc in computer science and physics at Queen's University. He has published over 200 research papers on subjects including visual object description and recognition, robotic navigation and map construction, distributed system design and biological perception. This includes a book entitled "Computational Principles of Mobile Robotics" co-authored with Michael Jenkin and published by Cambridge University Press. He has chaired and been otherwise involved in numerous national and international conferences and professional activities concerned with Robotics, Machine Sensing and Computer Vision. He research interests include perception for mobile robotics, navigation and position estimation, environment and shape modelling, computational vision and collaborative filtering. He grew up in Montreal and favors light food. With his children he is re-discovering model rocketry, rollerblading, and has discovered he's not good at surfing but loves it.
Michael Bronstein
Imperial College
UK
Michael Bronstein joined the Department of Computing as Professor in 2018. He has served as a professor at USI Lugano, Switzerland since 2010 and held visiting positions at Stanford, Harvard, MIT, TUM, and Tel Aviv University. Michael received his PhD with distinction from the Technion (Israel Institute of Technology) in 2007. His main expertise is in theoretical and computational geometric methods for machine learning and data science, and his research encompasses a broad spectrum of applications ranging from computer vision and pattern recognition to geometry processing, computer graphics, and biomedicine. Michael has authored over 200 papers, a book, and holds over 35 granted patents. He was awarded five ERC grants, two Google Faculty Research awards, two Amazon ML Research awards, Facebook Computational Social Science award, Dalle Molle prize, Royal Society Wolfson Merit award, and Royal Academy of Engineering Silver Medal. He is a PI and ML Lead in Project CETI, a TED Audacious Prize winning collaboration aimed at understanding the communication of sperm whales. During 2017-2018 he was a fellow at the Radcliffe Institute for Advanced Study at Harvard University and since 2017, he is a Rudolf Diesel fellow at TU Munich. He was invited as a Young Scientist to the World Economic Forum, an honour bestowed on forty world’s leading scientists under the age of forty. Michael is a Member of Academia Europaea, Fellow of IEEE, IAPR, ELLIS, and BCS, alumnus of the Technion Excellence Program and the Academy of Achievement, and ACM Distinguished Speaker. In addition to academic work, Michael's industrial experience includes technological leadership in multiple startup companies, including Novafora, Videocites, Invision (acquired by Intel in 2012), and Fabula AI (acquired by Twitter in 2019). Following the acquisition of Fabula, he joined Twitter as Head of Graph Learning Research. He previously served as Principal Engineer at Intel Perceptual Computing (2012-2019) and was one of the key developers of the Intel RealSense 3D camera technology. He is also an angel investor and supporter of multiple early-stage startups.
Amir H Gandomi
University Of Technology Sydney
Australia
Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the School of Business, Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 18,000+ times (H-index = 62). He has been named as one of the most influential scientific mind and Highly Cited Researcher (top 1% publications and 0.1% researchers) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.
Keynote Speakers
Kenji Suzuki
Tokyo Institute of Technology
Japan
Facilitating interdisciplinary exchange between the world's top researchers
Marcelo Ang
National University of Singapore
Singapore
Marcelo H. Ang, Jr., received the Ph.D. degree in electrical engineering from the University of Rochester, Rochester, NY, USA, in 1988. His work experience includes heading the Technical Training Division of Intel's Assembly and Test Facility in the Philippines, research positions with the East West Center in Hawaii and with the Massachusetts Institute of Technology, and a faculty position as an Assistant Professor of Electrical Engineering with the University of Rochester. In 1989, he joined the Department of Mechanical Engineering, National University of Singapore, where he is currently an Associate Professor, with a Joint Appointment at the Division of Engineering and Technology Management. He is also the Acting Director of the Advanced Robotics Centre. His research interests include robotics, mechatronics, and applications of intelligent systems methodologies
Farrokh Janabi-Sharifi
Ryerson University
Canada
Farrokh Janabi-Sharifi received the B.Sc. and M.A.Sc. degrees in mechanical engineering from Middle East Technical University, Ankara, Turkey, and the University of Toronto, ON, Canada, in 1987 and 1990, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada,in 1995. He is currently a Professor of mechanical and industrial engineering and the Director of the Robotics, Mechatronics, and Automation Laboratory, Ryerson University, Toronto, ON, Canada. From 1995 to 1997, he was an NSERC Postdoctoral Fellow and an Instructor in the Center for Intelligent Machines and Department of Electrical and Computer Engineering, McGill University, Montréal, QC, Canada. In 1997, he joined the Department of Mechanical and Industrial Engineering, Ryerson University. He has been a Visiting Professor at the Korea Advance Institute of Science and Technology, Taejon, Korea; IRISA-INRIA, Rennes, France; and the Technische Universität München, Munich, Germany. He was an organizer and/or co-organizer of several international conferences on optomechatronic systems control. He was General Chair of the 2010 International Symposium on Optomechatronic Technologies, Toronto, Canada. He is currently an Associate Editor of the International Journal of Optomechatronics, and an Editorial Member of the Journal of Robotics and The Open Cybernetics and Systemics Journal. He is a Fellow of Canadian Society for Mechanical Engineering (CSME), and a Fellow of Engineering Institute of Canada (EIC). His research area spans over mechatronics, robotics, and automation.
Corrado Aaron Visaggio
University of Sannio
Italy
Since 2017 Corrado Aaron Visaggio is associate professor at the Department of Engineering, University of Sannio, Italy, where he teaches Software and Network Security at the MSc of Computer Engineering and Computer Science at the BSc of Building Engineering.
Invited Speakers
Gyu Myoung Lee
Liverpool John Moores University
UK
Gyu Myoung Lee joined the Liverpool John Moores University (LJMU), UK in 2014, as Senior Lecture in the department of Computer Science and was promoted to a Reader in 2017 and a Professor in 2020. He is also with KAIST Institute for IT convergence, Daejeon, Rep. of Korea, as an Adjunct Professor from 2012. Before joining the LJMU, he worked with the Institut Mines-Telecom, Telecom SudParis from 2008. Until 2012, he was invited to work with the Electronics and Telecommunications Research Institute (ETRI), Rep. of Korea. He worked as a research professor in KAIST, Rep. of Korea and as a guest researcher in National Institute of Standards and Technology (NIST), USA, in 2007. He worked as a visiting researcher in the University of Melbourne, Australia, in 2002. Furthermore, he also has work experiences in industries in Rep. of Korea. His research interests include Internet of Things, digital twin, computational trust, knowledge centric networking and services considering all vertical services, Smart Grid, energy saving networks, cloud-based big data analytics platform and multimedia networking and services. Dr. Lee has been actively participating in standardization meetings including ITU-T SG 13 (Future networks and cloud) and SG20 (IoT and smart cities and communities), IETF and oneM2M, etc., and currently serves as a Working Party chair and the Rapporteur of Q16/13 (Knowledge centric trustworthy networking and services) and Q4/20 (e/Smart services, applications and supporting platforms) in ITU-T. He was also the chair of ITU-T Focus Group on Data Processing and Management (FG-DPM) to support IoT and smart cities & communities. He has contributed more than 430 proposals for standards and published more than 170 papers in academic journals and conferences. He received several Best Paper Awards in international and domestic conferences and served as a reviewer of IEEE journals/conference papers and an organizer/member of committee of international conferences. He is a Senior Member of IEEE. Dr. Lee received his BS degree in electronic and electrical engineering from Hong Ik University, Seoul, Rep. of Korea, in 1999 and MS, and PhD. degree from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Rep. of Korea, in 2000 and 2007, respectively.
Stefano Mariani
Polytechnic University of Milan
Italy
Stefano Mariani is associate Professor of Solid and Structural Mechanics at the Department of Civil and Environmental Engineering of Politecnico di Milano, Italy. He has co-authored around 200 scientific publications. His main research interests are: numerical simulations of ductile fracture in metals and quasi-brittle fracture in heterogeneous and functionally graded materials; extended finite element methods; calibration of constitutive models via extended and sigma-point Kalman filters; multi-scale solution methods for dynamic delamination in layered composites; reliability of MEMS subject to shocks and drops; structural health monitoring of composite structures through MEMS sensors.
Sessions
- Robotics and Automation
- Artificial intelligence in robotics
- Sensing and understanding the world of robots
- Robotic aspects and their applications
- Design, manufacturing and controlling of robots
- The grand challenges of robotic science
- Impact of artificial intelligence on society and everyday life
- Human-robot interaction
- Bio-inspired robotics
- Neural networks in robotics
- Military & Security robots
- Information systems
- Communications and control
- Advanced Database Applications
- Embedded and Real-time Software
- Social networking sites and web 2.0 tools for learning
- Computer Graphics and Visualization
- Cyberwarfare
- Antivirus software
- Data Mining and Knowledge Discovery
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