Marc GattiThales Avionics SAS, France
Robert HarrisonUniversity of Warwick, UK
Luis MontanoUniversity of Zaragoza. Spain
Plenary talk. AI, Connectivity and Cyber-Security in Avionics
Abstract. Before addressing this topic we need to put emphasis on some definitions.
- When we address Avionics platform, we address:
- All the embedded systems required by an Aircraft, whatever it is (Commercial, Fighter, Transport, Drone, Flying Cabs) to fly.
- All the embedded Critical and Less Critical functions required for
- Flying (Flight Control Command, Propulsion Management, …)
- Piloting (Fuel management, anti-icing, TCAS1, TAW2S, …)
- Utilities (Doors and Slide, toilets, air conditioning, …)
Don’t forget that the Aeronautical environment is moving very fast asking having “permanent” interconnections with ground (airport, traffic control, maintenance systems), and now pushing to introduce interconnections between aircrafts as a major stakes to increase efficiency and safety.
We have also to respond to the problematic of reducing crew that can be one solution to help solving the problem of the non-availability of Pilot regarding the increase of Air traffic. Different works are in progress to analyze if one response to this problematic can be an Pilot Assistant using Artificial Intelligence.
On Open question link to the evolution of the Global Aircraft Environment we have to respond is the following one: “What can be the benefit using embedded IA and Connectivity ?”, we plan to give some responses on these themes in the paper and during the presentation.
Marc Gatti's biography
Marc Gatti is Scientific Director & Academics Relationship at Thales Avionics SAS. An Engineer by background, he joined Thales in 1980 after graduating from Ecole Nationale Supérieure d’Electronique, Electrotechnique, Informatique et Hydraulique de Toulouse, France, with a Master in Computing & Signal processing. He has obtained a PhD degree in Computing from University Pierre and Marie Curie (UPMC) and Associate Professor Degree (Habilitation à Diriger des Recherches) in Electronics from Université de Bordeaux.
A French national, he has worked in multiple locations and areas for Thales spanning 40 years career covering computing domain first in the naval domain for submarines, torpedoes and surface ships then in the aircraft military area for fighters and transport, and now covering both commercial and military areas.
Marc has spent five years as a Computing Technical Director then 5 years as Director for managing the R&T at the Avionics Global Business Unit Level and now he is the Scientific Director and manage all the relation with academics; he is involved in advanced researches in this domain and has more than 40 publications and 25 patents in the area of sensors management, processing, modeling and recently in the analysis of ageing phenomena for components using Deep Sub Micronic (DSM) technologies.
For certified commercial & military aircraft he has participated to the introduction of Integrated Modular Avionics (IMA) as the Avionics Computing Reference and now he is working on the preparation on the next generation of these systems.
He is also the pilot for the Strategic Activity Domain (DAS) named Embedded System, Autonomous Systems, Internet of Things, Software and Hardware (Systèmes embarqués, systèmes autonOmes, objets Connectés, Logiciel et Électronique) within the Aerospace Valley cluster and the co-pilot for the DAS Photonics and Microwave for Aeronautic and Space (PHAROS) within the Alplha Route Des Lasers et des Hyperfréquences Cluster.
Plenary talk. Dynamically Integrating Manufacturing Automation with Logistics
Much of manufacturing operates in a far from optimal manner in the face of volatile customer preferences and often unforeseeable disturbances. Automation should be sympathetic with its operators and sustainable as well as profitable. It should involve and integrate people, production machinery, and internal logistics in more holistic, adaptable manufacturing systems. This presentation explores emerging technologies, engineering tools, and integration methods in the context of factory automation. It examines the integration of internal logistics and assembly, and the use of distributed warehousing and localised kitting systems within an Industry 4.0 framework in order to reduce non-value-adding activities within adaptable processes, so that product variety and volumes can by dynamically changed whilst maintaining efficiency. Digital twins can be used to hold the static and dynamic representation of such systems, enabling them to evolve to cope with unforeseen changes and requirements, using advanced data analytics to optimise the systems and their constituent components and processes.
Robert Harrison's biography
Professor Robert Harrison is head of WMG’s Automation Systems Group at the University of Warwick, with a focus on systems engineering and industrial automation through a wide range of R&D programmes from the EU, EPSRC, Innovate UK, HVM Catapult, and industry. His work spans two main areas of research and development: (1) cyber-physical systems methods, tools, and technologies and (2) their application to production systems, typically by user-driven applications engineering projects, in an area of expertise now commonly referred to as Industry 4.0. His expertise is underpinned by a lifetime’s experience of working in systems integration and engineering tools and methods for automation systems realisation in very close collaboration with industry. He has conducted collaborative research programmes with a wide range of companies and has more than 150 peer-reviewed publications and a wide network of academic collaborators, nationally and internationally. Previously a founding member of the MSI (Manufacturing Systems Integration) Group at Loughborough University, a Research Fellow at the National University of Singapore, Ford Motor Company and Schneider Electric, and recipient of a Royal Academy of Engineering Global Research Award in the field of Modular Reconfigurable Manufacturing Automation. Robert has also played a major role in the UK and Europe in research related to the realisation of service-oriented distributed systems for embedded devices and the integration of business systems with SoA-based automation systems, with his focus of expertise being particularly related to the creation of lifecycle engineering tools and related data models, which are now often referred to as digital-twins.
Plenary talk. Robots in challenging environments
The use of robots in intervention and exploration in underground environments is gaining more prominence. Many of the works presented until now focus on a partial view of problems such as mechanical aspects, SLAM or navigation aspects of the intervention tasks. Although well stablished solutions for many of these problems have been developed for more structured, laboratories, or not very large environments, many of the problems in the field, such as localization, navigation, communication and, above all, the integration of the same remain open challenges to be addressed in real and large underground scenarios.
Search and rescue or robotic intervention operations, for example, cannot usually rely on pre-constructed maps, and sometimes the environment is so challenging (from the robotics and perception systems point of view) that common localization techniques (scan matching, visual SLAM, etc.) do not function as intended. Navigation techniques, besides dealing with not completely reliable localization, must take into account that in such scenarios the floor can be irregular, slippery or contain potholes of water, which occurs for instance during the construction of tunnels. Communication is an additional challenge in itself, which has been rarely considered and in general not deeply addressed. How to deal with special propagation features (fading, wave guides, abrupt vanishings) of a signal in confined environments has received less attention.
Few complete robotics systems capable of managing large distances have been reported. One of the general conclusions obtained from different studies, is that some of the current established techniques are not yet robust enough, and fail when the number of identifiable features in the scenario is low.
The main objective of the session is to motivate the challenges, the lessons learned through errors and successes, problems encountered, ideas, and reasoning in this kind of scenarios. This has been a work developed for more than a decade by the Robotics, Perception and Real Time group of the Aragon Institute of Engineering Research (I3A, University of Zaragoza, Spain).
Luis Montano's biography
Luis Montano received the Industrial Engineering degree in 1981 and the PhD degree in 1987 from the University of Zaragoza, Spain. He is a Full Professor of Systems Engineering and Automatic Control at the University of Zaragoza (Spain). He was Head of the Computer Science and Systems Engineering Department, and Associated Director and responsible of the Ambient Intelligent Division at the Aragon Institute of Engineering Research of the University of Zaragoza. Now he is member of the Academic committee of the Biomedical Engineering doctorate programme of the University of Zaragoza.
He is the coordinator of the Robotics, Perception and Real Time group of the Institute, and he is principal researcher in national and international robotic research projects. His major research interests in robotics are motion planning and navigation, multi-robot systems, tasks planning and allocation, planning in dynamic environments, robot teams coordination under communication restrictions, mobile ad-hoc networks, exoskeleton control from biosignals. He is the author of more than 125 publications in journals and in International Congresses, and he has participated in 46 international, national and regional research projects, in many of them as the Principal Reseacher. He is co-editor of two international books of proceeding of robotic conferences.
Until 2015 he was member of the Executive Board of the Spanish Association of Robotics-Automation of Production Technology (AER-ATP), he was the Secretary and now is the Vice-president of the Spanish Society for Research and Development of Robotics (SEIDROB). He is the representative of the University of Zaragoza in the European association euRobotics. He has been co-chair and organizer of International Congresses. He is a member of the Spin-off Committee of the University of Zaragoza, an advisory board for promoting new start-up and spin-off companies.
Shiva Sander Tavallaey
Plenary talk. Automation to Autonomy – drivers and challenges
Industrial automation has progressed for more than one century. A factory / an industrial plant is traditionally a physical location where things are made, row material evolves and value is created, but the digitization of industry is transforming it into something much more: A collection of skills, abilities, and systems that get smarter over time, thereby enabling businesses to innovate what, how, who, and where manufacturing gets done. The automation systems, typically performing precisely defined instructions within a limited scope of operation, will now act “autonomously“  on a more complex level, encompassing also what is not known or foreseen. This transition will unlock greater value by improving productivity and increasing efficiency. The shift will happen over a period of time where we will face various challenging problems, technical as well as societal, to be solved. In this talk we will share our (ABB’s) experiences and learnings from this extremely exciting transformation.
- David P. Watson and David H. Scheidt, Autonomous Systems, Johns Hopkins APL Technical Digest, Volume 26, Number 4, p. 368-376 (2005).
Shiva Sander Tavallaey's biography
Shiva Sander Tavallaey received a MSc in Mechanical Engineering 1988 from Chalmers University of Technology (CTH) and a PhD in Sound and Vibration/ Technical Acoustics in 2000 from Royal Institute of Technology (KTH), Sweden. After graduating as MSc, she started at Volvo Car AB as Senior designer, where she among the others initiated an R&D project in collaboration with Royal Institute of Technology (KTH) which in turn lead to her increased interest in the field of wave propagation in different media as well as signal processing.
In January 2001 she joined ABB Corporate Research in Västerås, Sweden. After a specialist career within condition monitoring and diagnostics, culminating in an appointment to Principal Scientist in 2009, she started in a management position leading a team of 15-20 specialists in modeling and control of industrial automation applications. During this period, she continued working with different applications and projects applying state of the art approaches such as AI/ ML for anomaly detection, predictive and prescriptive maintenance. In 2015, she was appointed as Adjunct professor at Royal Institute of Technology (KTH) in the department of Vehicle Engineering, at Marcus Wallenberg Laboratory of sound and vibration. In February 2018 she stepped off the management team to follow the specialist career. She was appointed in May 2018 as Senior Principal Scientist in Applied Analytics. She is since March 2018 appointed as AI-Lead in Sweden coordinating the AI-related activities in ABB Sweden.
Plenary talk. Modeling, analysis and intelligent control of automated manufacturing systems using Petri nets
Automated manufacturing systems (AMSs) may be defined as discrete production systems in which the handled materials are discrete entities, e.g. parts that are processed or assembled. As a result, AMSs can be effectively represented as discrete event systems (DESs) whose dynamics depends on the interaction of asynchronous discrete events, such as the arrival or departure of parts or products in a buffer, the start of an operation, the completion of a task and the failure of a machine. Petri nets (PNs) are one of the DES formalisms that most effectively allow to model AMSs, thanks to a series of key features: they are both a graphical and a mathematical formalism; they provide a compact and modular representation of large and complex systems; they allow to explicitly represent the notion of concurrency, namely activities that can be performed in parallel; the state is a vector that allows to solve a variety of problems using integer programming; finally, they allow to deal with systems having an infinite state space.
Several classes of PN models have been defined in the literature in the last decades, including Place/Transition nets, timed PNs, continuous PNs, hybrid PNs, colored PNs, fuzzy PNs, and so on. All such classes revealed particularly suited for the solution of relevant problems in AMSs, such as modeling, simulation, deadlock analysis, supervisory control, performance analysis and optimization, as well as problems related to the partial observability of the system state, in particular, fault diagnosis and diagnosability analysis, both in a centralized and in a decentralized framework.
The goal of this talk is twofold. First, a survey of the most significant contributions in this framework is provided. Then, future trends and open issues are discussed.
Carla Seatzu's biography
Carla Seatzu received her Ph.D. degree in Electronic and Computer Engineering from the University of Cagliari, Italy in 2000. Since 2011 she is Associate Professor of Automatic Control at the Department of Electrical and Electronic Engineering of the University of Cagliari, which she joined in 2002 as an Assistant Professor. In 2013 she got the Italian National Abilitation to Full Professor of Automatic Control. She is Coordinator of the B.Sc. Degree in Electrical, Electronic and Computer Engineering and Vice-Coordinator of the Ph.D. Program in Electronic and Computer Engineering at the University of Cagliari. In 2015-2018 she was Vice-President of the Faculty Committee of Engineering and Architecture.
Carla Seatzu’s research interests include discrete-event systems, Petri nets, hybrid systems, networked control systems, manufacturing and transportation systems. She is author of over 230 publications, including 70 papers in international journals and one textbook. She is editor of two international books and the proceedings of two international conferences. Her h-index in Scopus is equal to 30.
Currently she is Senior Editor of one international journal: IEEE Control Systems Letters, and Associate Editor of 2 international journals: IEEE Trans. on Automatic Control and Discrete Event Dynamic Systems. She has also been Associate Editor for: IEEE Trans. on Automation Science and Engineering (2015-2017) and Nonlinear Analysis – Hybrid Systems (2007-2016). She actively collaborated to the organization of several international events: she was Program Chair of the 23rd IEEE Int. Conf. on Emerging Technologies and Factory Automation (2018), Workshop Chair of the 55th IEEE Conf. on Decision and Control (2016) and General Co-chair of the 18th IEEE Int. Conf. on Emerging Technologies and Factory Automation (2013). Since 2017 she is Senior Editor of the IEEE Conf. on Automation Science and Engineering.
She is Vice Co-chair of the IFAC Technical Committee of Discrete Event and Hybrid Systems and Co-Chair of the IEEE Industrial Electronic Society – Technical Subcommittee on Industrial Automated Systems and Control.
She has been visiting professor in several foreign universities in Spain (Zaragoza), USA (Atlanta), Mexico (Guadalajara), and China (Xi’an, Hangzhou).
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