Human Factors and Human-in-the-Loop; Human-Centered Automation; Human-Centered Robotics; Learning and Adaptive Systems; Learning from Demonstration; Physically Assistive Devices; Rehabilitation Robotics; Robust/Adaptive Control of Robotic Systems
Primary Areas: Aerial robotics, bioinspired flight, path planning for multiple mobile robots or agents, distributed robot systems, swarms, optimization and optimal control Secondary Areas: Space robotics, robust/adaptive control of robotic systems, autonomous vehicle navigation, SLAM
Antonio Franchi (GSM’07-M’09-SM’16) is a Tenured Researcher at LAAS-CNRS. His research interests include multi-robot systems, aerial robotics, control. From 2010 to 2013 he was a Postdoc and then a Senior Research Scientist at the Max Planck Institute for Biological Cybernetics, Germany. He received the master degree (summa cum laude) in Electronic Engineering and the Ph.D. degree in System Engineering from Sapienza University of Rome. He was a visiting student at the University of California at Santa Barbara. He received the Professorial Habilitation from the National Polytechnic Institute of Toulouse in 2016. He has published 37 international journal papers and more than 80 conference papers, he is co- author of the books ‘Aerial Robotic Manipulation’ (Springer, 2019) and ‘Trends in Control and Decision- Making for Human-Robot Collaboration Systems’ (Springer, 2017). He has been involved in various roles in research projects funded under FP7, H2020, and ANR schemes: ARCAS, AEROARMS, PRO-ACT, MuRoPhen (coordinator), The Flying Co-Worker. He served both as independent expert and reviewer for international and national European calls (H2020, SNSF, FNRS, MIUR) several times since 2014. Further info can be found at: https://homepages.laas.fr/afranchi/robotics/
IEEE Activities: COMMITTEES/BOARDS:
• Associate Editor, IEEE Transactions on Robotics (2016-today) • Associate Editor, IEEE Robotics & Automation Magazine (2013-2016) • Associate Editor, IEEE Aerospace and Electronic Systems Magazine (2015-2016) • IEEE RAS CEB Editor for IEEE ICRA (2020-2022) • Associate Editor for IEEE ICRA (2014, 2015, 2016, 2017, 2018, 2019) • Associate Editor for IEEE/RSJ IROS (2014, 2015, 2016, 2017, 2019) • Program co-chair: 2017 IEEE RAS Int. Symposium on Multi-robot/agent Systems • Award chair: 2019 2nd IEEE RAS Int. Symposium on Multi-robot/agent Systems • Award chair: of IEEE ICRA Best Paper Award on Multi-Robot Systems 2017 • Jury Member: 2018 IEEE ICRA Best Paper Award on Multi-Robot Systems 2018 • Jury Member: 2018 IEEE ICRA Best Paper Award on UAVs • Jury Member: 2017 IEEE I-RAS Robotics made in Italy Video Contest
SECTIONS/CHAPTERS: IEEE RAS Italian Chapter Young Author Best Paper Award 2010
• Co-organizer: 2016 IEEE RAS Summer School on Multi-Robot Systems, NUS, Singapore • Co-organizer: 2019 IEEE RAS Summer School on Multi-Robot Systems, CTU-Prague, Czech Republic • Co-chair: TC Multi-Robot Systems IEEE RAS, (2014-today) • Co-founder: TC on Multi-Robot Systems IEEE RAS (2014) http://multirobotsystems.org
• Promoter and co-founder: IEEE ICRA Best Paper Award on Multi-Robot Systems (est. 2017) • Co-founder: IEEE International Symposium on Multi-robot and Multi-agent Systems (first ed. 2017) • Organizer: 2017 IEEE ICRA Workshop on Human Multi-Robot Systems Interaction, Singapore • Organizer: 2016 IEEE ICRA Workshop on Fielded Multi-Robot Systems Operating on Land, Sea, and Air, Stockholm, Sweden • Organizer: 2016 IEEE ICRA Workshop on Aerial Robotics Manipulation: from Simulation to Real-life, Stockholm, Sweden • Organizer: 2014 IEEE/RJS IROS Workshop on The Future of Multiple-robot Research and its Multiple Identities, Chicago, IL, USA • Organizer: 2014 IEEE ICRA Workshop: On the Centrality of Decentralization in Multi-robot Systems: Holy Grail or False Idol?, Hong Kong, China • Organizer: 2013 IEEE ICRA Demo on Bi-operator Haptic Control of Multiple UAVs with Connectivity Maintenance, Karlsruhe, Germany • Organizer: 2013 IEEE ICRA Technical Tour to the Max Plank Institutes in Tuebingen, Germany • Organizer: 2013 IEEE ICRA Workshop: Towards Fully Decentralized Multi-Robot Systems: Hardware, Software and Integration, Karlsruhe, Germany • Organizer: 2012 IEEE ICRA Workshop on Haptic Teleoperation of Mobile Robots: Theory, Applications and Perspectives, St. Paul, MN, USA
• IEEE Senior Membership, 2016 • 2018 IEEE RAS Most Active Technical Committee Award
• In the last 8 years, I have extensively served the IEEE RAS in a large set of roles, with a balanced mix of technical/scientific and administrative/management positions. Thanks to this enriching experience, I feel now ready to provide my contribution to the RAS community as member of the AdCom. • I am relatively young, very active and deeply motivated, I strongly believe in the central role of RAS for the international robotics community. • I have a relatively strong experience in RAS for my age. I know relatively well how RAS functions and is organized. I have been active member of RAS for several years. I have been serving the society in several different positions: editorial boards, technical activities board, conference committee and boards, etc. • I have a solid international network and international vision, thanks, among other things, to my involvement in many IEEE-RAS activities and to my academic career who has seen me being trained in Italy and then spending all my career abroad (USA, Germany, and France).
• Co-founded in 2014 and co-chaired (2014-today) the IEEE RAS Technical Committee on Multi-Robot Systems
- the TC won the 2018 IEEE RAS Most Active Technical Committee Award, - the TC is very active and has more than 430 members at date.
• Co-founded and co-organized the IEEE-RAS sponsored International Symposium on Multi-robot and Multi-agent Systems
(MRS 2017 & 2019)
• Co-founded and co-organized: the IEEE RAS Summer School on Multi-Robot Systems (2016 in Singapore and 2019 in Prague) • Promoted the creation of the IEEE ICRA Best Paper Award on Multi-Robot Systems, sponsored by Amazon Robotics • Organized several well-attended workshops at ICRA and IROS since 2012.
IEEE RAS is one of the most highly regarded professional associations in the world. In the last 8 years I have been honored to provide my humble service to the society. If elected to the IEEE RAS AdCom, I will keep serving the community with enthusiasm and devotion and I will push hard in order to attain the goals of the society, including but not limited to: increasing the worldwide industrial and academic participation in the society events and activities, maintaining the excellence of the society publications and conferences, increasing the participation of under-represented groups to the society activities, and fostering the improvement of education and training in robotics and automation science and technology worldwide.
Adaptive Control; Aerial Robotics; Autonomous Agents; Collision Avoidance; Collision Detection and Avoidance; Computer Vision; Computer Vision for Robotics and Automation; Deep Learning in Robotics and Automation; Distributed Robot Systems; Dynamics; Mapping; Mobile Robots; Motion Control; Motion Control of Manipulators; Motion and Path Planning; Motion and Trajectory Generation; Multi-Robot Systems; Network Robotics; Networked Robots; Object Detection, Segmentation and Categorization; Optimization; Path Planning for Multiple Mobile Robots or Agents; Pose Estimation; Probability and Statistical Methods; RGB-D Perception; Robust/Adaptive Control of Robotic Systems; SLAM; Semantic Scene Understanding; Surveillance Systems; Visual Search; Visual Servoing; Visual Tracking; Visual-Based Navigation; Wheeled Robots
Primary Areas: Motion and path planning, manipulation planning, climbing robots Secondary Areas: 3D robot simulation and mathematical modeling of robots, humanoid robots, optimization and optimal control
AI-Based Methods; Agent-Based Systems; Autonomous Agents; Big Data in Robotics and Automation; Cognitive Human-Robot Interaction; Control; Deep Learning in Robotics and Automation; Dual Arm Manipulation; Human Factors and Human-in-the-Loop; Human-Centered Robotics; Imitation Learning; Learning Control; Learning and Adaptive Systems; Learning from Demonstration; Learning from/by Demonstration; Machine Learning; Model Learning for Control; Motion Control; Motor Primitives; Motor Skill Learning; Neural and Fuzzy Control; Physical Human-Robot Interaction; Probability and Statistical Methods; Reactive and Sensor-Based Planning; Robot Learning; Robot Reinforcement Learning; Robotics; Skill Acquisition and Learning
Computer Vision for Automation; Control Architectures and Programming; Deep Learning in Robotics and Automation; Domestic Robots; Force Control; Force and Tactile Sensing; Grasping; Humanoid Robots; Mobile Manipulation; Object Detection, Segmentation and Categorization; Perception for Grasping and Manipulation; Software, Middleware and Programming Environments
AI-Based Methods; Autonomous Agents; Cognitive Human-Robot Interaction; Deep Learning in Robotics and Automation; Human-Centered Robotics; Learning and Adaptive Systems; Learning from Demonstration; Physical Human-Robot Interaction; Social Human-Robot Interaction; Visual Learning
Primary; Computational Geometry; Reactive and Sensor-Based Planning; Planning, Scheduling and Coordination; Path Planning for Multiple Mobile Robots or Agents; Secondary; Task Planning; Formal Methods in Robotics and Automation; Motion and Path Planning; Networked Robots
Affective Computing; Biometrics; Cognitive Human-Robot Interaction; Computer Vision for Other Robotic Applications; Cooperating Robots; Cooperation and Collaboration in Human-Robot Teams; Deep Learning in Robotics and Automation; Detecting and Understanding Human Activity; Ethics and Philosophy; Gesture, Posture and Facial Expressions; Gesture, Posture, Social Spaces and Facial Expressions; Health Care Management; Human Centered Robotics; Human Factors and Human-in-the-Loop; Human detection & tracking; Human detection and tracking; Human robot interaction; Human-Centered Robotics; Human-Robot Interaction; Medical Robots and Systems; Non-verbal Cues and Expressiveness; Novel Interfaces and Interaction Modalities; Object Detection, Segmentation and Categorization; Object detection, segmentation, categorization; Performance Evaluation and Benchmarking; Personal Robots; RGB-D Perception; Robot Companions; Robot Companions and Social Human-Robot Interaction; Robot Companions and Social Robots in Home Environments; Robots in Education; Security Protocols; Semantic Scene Understanding; Service Robots; Social Human-Robot Interaction; Social Intelligence for Robots; Social robotics; Telerobotics; Therapy and Rehabilitation; User-centered Design of Robots; Visual Place Recognition
Dr. Yajing Shen received the PhD degree in 2012 from Fukuda Lab., Nagoya University, Japan, and he is working as Assistant Professor in Mechanical and Biomedical Engineering Department in City University of Hong Kong currently. His mainly research interest is micro/nanorobotics, including the micro/nano robots development and their applications in the fundamental and practical problems in biomedical, material, and other emerging fields. He has published ~100 papers in international journal/conference, and received serval awards, including the Best Manipulation Paper Award in IEEE International Conference on Robotics and Automation (ICRA) in 2011, the IEEE Robotics and Automation Society Japan Chapter Young Award in 2011, the Early Career Awards of Hong Kong UGC in 2014, Big-on-Small Award at MARSS 2018. He is a Senior Member of IEEE and an Executive member of China Micro-nano Robotic Society, and is very active in promoting micro/nano robotics to society, such as by serving as the committee member of international conference, organizing “micro/nano robot” workshop, special issue, and so on.
Talk # 1
Micro-Nano Robotic Systems in Biomedical Applications
Robotics have played important roles in biomedical applications owing to its advantages in precision, stability, dexterity and productivity. With the rapid development of micro-nano technology, the micro-nano robotic systems have received increasing attentions in recent years, which can be classified to two different categories according to their working principles and functions: (1) the robots can operate object with micro-nano scale resolution. (2) the robot is of micro-nano scale size. This talk will give two specific examples to demonstrate the above two types of robotic system in biomedical applications, i.e., one is the robot-aided high precision nano characterization system, and the other is the bio-inspired miniature robots. Lastly, the prospects of the micro-nano robotic systems will be discussed.
Assembly; Autonomous Agents; Dexterous Manipulation; Field Robots; Human-Centered Robotics; Hybrid Logical/Dynamical Planning and Verification; Intelligent and Flexible Manufacturing; Learning and Adaptive Systems; Learning from Demonstration; Micro-Data Policy Search; Mobile Manipulation; Model Learning for Control; Motion Control; Motion and Trajectory Generation; Motor Skill Learning; Perception for Grasping and Manipulation; Physical Human-Robot Interaction; Programming Environment; Robot Learning; Robot Reinforcement Learning; Robot Safety; Safety in Human-Robot Collaboration; Sensor Fusion; Software, Middleware and Programming Environments; Space Robotics and Automation
Autonomous Vehicle Navigation; Formal Methods in Robotics and Automation; Humanoid and Bipedal Locomotion; Hybrid Logical/Dynamical Planning and Verification; Intelligent Transportation Systems; Legged Robots; Model Learning for Control; Motion and Path Planning; Optimization and Optimal Control; Robust/Adaptive Control of Robotic Systems
Gentiane Venture (AM’05-M’06-SM’18) I received my education in France following the “grandes ecoles” path. I graduated in 2000 from Ecole Centrale de Nantes, with a major in “Robotics” and simultaneously received a MSc from University of Nantes. In 2003/12, I obtained my PhD sponsored by Peugeot-Citroën, from the same institutions. In 2004/1 I joined the robotics team of CEA (Paris, France) to work on control of haptic devices for micro-manipulators. In 2004/11 I joined Prof. Y. Nakamura's Lab. at the University of Tokyo (Japan) as a JSPS fellow. I continued as a Project Assistant Professor until I joined Tokyo University of Agriculture and Technology as Associate Professor to start a new lab in 2009/3. Since 2016/7 I am a distinguished professor. Since 2018/4 I am also cross appointed with AIST. My main research interests include: Dynamics modelling and identification, Robot control, Human-robot interactions, Human movement science, Robotics in education. I pursue interdisciplinary research redefining the boundaries of robotics.
IEEE ACTIVITIES COMMITTEES/BOARDS:
10 Asia and Pacific
Robotics and Automation Society, Computer Society, Education Society, Engineering in Medicine and Biology Society
• Editor Proceedings of the IEEE/RAS International conference on Humanoids 2016~now • Associate Editor IEEE Transactions on Robotics 2019~ • Associate Editor IEEE/RAS IROS conference 2012~2016 • Associate Editor IEEE/RAS Humanoids conferences 2014~2016; • Associate Editor IEEE/EMBS Biorob conference 2010~ • Associate Editor ICARV conference 2009~ • Guest Associate Editor IEEE Transactions on Robotics Special Issue on "Movement Science for Humans and Humanoids: Methods and Applications" • Conference organization executive committee: General co-chair Humanoids 2019 • Reviewer for IEEE Transactions on Robotics, IEEE/EMBS Transactions on Biomedical Engineering, IEEE/EMBS Engineering in Medicine and Biology Magazine – Pulse, IEEE Transactions on Intelligent Transportation Systems, IEEE/ASME Transactions on Mechatronics
QUALIFICATIONS 20 years of research in robotics and control, 5 years in R&D in France, 15 years in academia in Japan. 15 years with IEEE and 15 years with RAS, IEEE senior member, served in the flagship conferences and journals as reviewer, associate editor, editor, publicity chair, general co-chair. I am a challenger with a strong ethics.
TRO AE and special issue guest AE Humanoids 2019 General chair RAS WIE columnist for RAM Created with D. Kulic, E. Demircan, M. Hayashibe and D, Oetomo the RAS TC on Human Movement Understanding
If elected there are three topics in RAS that I would like to actively work for: attract and retain members, educate and train permanently professionals in our field, innovate and renew our methods. Why and how I want to do it follows: When talking about IEEE-RAS to colleagues I often hear the following:
• Why should I continue subscribing to IEEE-RAS? • What are the benefits for me? The answers to these questions should be obvious and easy to understand. For that I would like to:
improve the visibility of the values and transparency of our society and promote accessibility to our activities to everyone by
opening Ad-Hoc and Ad-Com, as well as conference SPC meetings to all RAS members as observers 2. develop remote presence at conferences and meetings with robots 3. reward volunteers for their activities by offering discounted access to publications or conferences.
When my students ask me:
• Why should I join IEEE-RAS except for getting a discount at the next conference? I want to have convincing arguments for them so that they can benefit from IEEE-RAS, like I did, to become responsible, ethical and creative professionals. While the Student Activities Committee creates opportunities for students to get to know each other, talk about their work and volunteer during IEEE conferences, I am interested in promoting more programs such as the YRP. Indeed, when the Young Reviewers Program was created, I found it was a brilliant idea. I believe now is the time to go the next level and develop more opportunities for our young members to find global mentoring opportunities and to get to know the backstage functioning of conferences and RAS in general. For that I would like to:
allow student members to join Ad-Hoc and Ad-Com, as well as conference SPC meetings as junior observers independently of
the Student Volunteers to RAS Boards activities.
2. work hand in hand with the Technical Education Program to organize local events, to create IEEE-RAS flagship tutorials or
bootcamps as side events of the major RAS conferences: ICRA, CASE & IROS.
3. support streaming of plenary and keynote presentation of all RAS major events.
Finally, with the rapid changes in our field and the technology changing society and how we communicate with each other, share information... I believe the younger generations can teach us many things and can help improve our ways of working together. I believe a systematic and official inclusion of junior members in all our activities is necessary to understand what they are excited about in our field, and what will make them thrive. I would like to propose to:
systematically create a “shadow board” of junior members (students and GOLD) for the RAS financially sponsored conferences
that will have roles in all decision processes.
2. give voice to junior members when selecting plenary speakers at the RAS flagship conferences using online poles.
Primary Areas: Visual servoing, visual tracking, vision-based control, soft robotics, surgical robotics, robot vision. Secondary Areas: Image-guided medical robots, UAV visual tracking, mobile manipulation, modeling and control of space robots.
Primary area:Dynamics and control, legged and humanoid robots, exoskeletons, model predictive control, trajectory generation and optimization. Secondary area:Physical human-robot interaction, actuator design, system identification and adaptive control.
Andrea M. Zanchettin received his MSc in Computer Science Engineering in 2008, and his PhD in Information Technology in 2012, both from Politecnico di Milano. During Spring 2010, he spent a research stay at the Department of Automatic Control (Reglerteknik) at Lund University. From January 2012 until February 2014, he has been a temporary research assistant at the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB). From March 2014 to September 2016, he has been a fixed-term assistant professor at DEIB, where he is now a tenure-track assistant professor. In September 2014, Andrea Zanchettin has been the recipient of the Young Author Best Paper Award, sponsored by the Italian Chapter of the IEEE RAS (I-RAS). Andrea Zanchettin has been member of the IEEE RAS since 2009, and in 2017 he has been elected as Deputy Chair of I-RAS. Andrea Zanchettin is also co-founder of Smart Robots srl, a spin-off company of Politecnico di Milano, and has been co-author of around 50 papers on automatic control and intelligent human-robot interaction.