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AI enabled HRC – 11th Hybrid Production Systems workshop

Track: Agile Production

Date and Time: 13 Mar 2024 12:00-13:20

Organisers: Sotiris Makris, George Michalos, Awad Ramez, Inaki Maurtua

Main questions to be answered: What are the latest technologies enabling AI driven HRC?,

Additional questions: Which are the new research and applications areas that could be benefited from the covered technological fields?

Additional questions 2: ,Which are the best methodologies, technologies, and results that are under development?

Workshop Description: The workshop will consist of a series of ~5-minutes, targeted presentations on different aspects of Hybrid Production Systems. These include: • Early results from new research projects, in the form of elevator pitches, focusing on the innovation idea, its benefit to potential users and a short PoC. • Technologies that have been developed within a research project, ready to be picked up by a larger user group or are ready for commercialization. The audience will have the chance to be engaged in an open dialogue with the speakers using interactive tools to identify the milestones achieved so far and the key challenges to be addressed in the next 1, 5, and 10 years. Lastly, joint dissemination activities will be discussed.

Intended Outcome: Workshop discussion topics of common interest, success stories, use cases, etc, Workshop on recent developments in technology or applications

Approach: The workshop will consist of a series of targeted presentations of approximately 5 minutes each on different aspects of Hybrid Production systems. Presentations may include: o Early results: presentations introducing early results from just started research projects. These will be in the form of elevator pitches, focusing one the innovation idea, its benefit to potential users and a short proof of concept. o Technologies: presentations (incl. Q&A) about technologies that have been developed within the research project, ready to be picked up by a larger user group to expand the potential customer base or that already are in the commercialization phase. To prevent inhomogeneity and delays, all the authors will be provided by a presentation template in order to harmonize the speeches to the topics sequence and timetable of the workshop. At the end of the workshop the audience will be engaged in an open dialogue with the speakers using the interactive tools (including both academics and people from the industry) to identify the milestones achieved so far and the key challenges to be addressed in the next 1, 5, and 10 years. The last part of the discussion will also involve joint dissemination activities to be undertaken by the participating projects (Exhibitions, joint workshops etc). The Hybrid Production System workshop will be split in two parts with two sessions each. The agenda for the first two sessions is as follows: o 00:00 – 00:04 Introduction of Workshop and recap of HPS activities – Dr. George Michalos (LMS) o 00:04 – 00:40 First round of presentations S1.1 JARVIS: Intersubjective AI-driven multimodal interaction for advanced user-centric human robot collaborative applications – Nikos Dimitropoulos (LMS) S1.2 MERGING: Cooperating robots for non-rigid product manufacturing – a hybrid workstation in composites industry – Dionisis Andronas (LMS) S1.3 FELICE: Exploring the Synergy of Physical Human-Robot Collaboration in Flexible Assembly Manufacturing – Sharath Chandra Akkaladevi (Profactor) S1.4 Computer-Aided Risk Assessment for Industrial Robots and practical validation of safety concepts – Aulon Bajrami (Fraunhofer – IPA) Session 1 – Panel discussion o 00:40 – 01:20 Second round of presentations S2.1 AI-PRISM: Advances in AI Enhanced Multi-agent Robotics and Programming by Demonstration for Human Robot Collaboration – Francisco Fraile (UPV) S2.2 COGNIMAN: Cross-disciplinary AI strategies for human-robot collaboration – Dr. Nabil Belbachir (NORCE) S2.3 CONVERGING – Advancing human-robot interaction using AI – a large language model (LLM) approach – Nikos Dimitropoulos (LMS) S2.4 Fluently – Leveraging personalization for enhanced fluency in human-robot teams – Oliver Avram (SUPSI) S2.5 ODIN: Adopting innovative robotics for agile production – Apostolis Papavasileiou (LMS) Session 2 – Panel discussion

Contributors: Dr. Sotiris Makris – LMS – University of Patras – Organizer Dr. George Michalos – LMS – University of Patras – Organizer Dr. Inaki Maurtua – TEKNIKER – Organizer Dr. Avram Oliver – SUPSI – Presenter Dr. Nabil Belbachir – NORCE – Presenter Dr. Sharath Chandra Akkaladevi – Profactor – Presenter Mr. Nikos Dimitropoulos – LMS – University of Patras – Presenter Dr. Francisco Fraile – UPV Dr. Aulon Bajrami – Fraunhofer IPA Mr. Apostolis Papavasileiou – LMS – University of Patras – Presenter Mr. Dionisis Andronas – LMS – University of Patras

Further Information: Previous HPS workshops at ERF: o ERF2023: o ERF2022: o ERF2021: o ERF2020: o ERF2019: o ERF2018: o ERF2017: o ERF2016: o ERF2015: o ERF2014: 1. N. Kousi, G. Michalos, S. Aivaliots, S. Makris, “An outlook on future assembly systems introducing robotic mobile dual arm workers”, 51st CIRP Conference on Manufacturing Systems, (CMS 2018), 16-18 May, Stockholm, Sweden, (2018) 2. G. Michalos, N. Kousi, P. Karagianis, C. Gkournelos, K. Dimoulas, S. Koukas, P. Mparis, A. Papavasiliou, S. Makris, “Seamless human robot collaborative assembly – An automotive case study”, Mechatronics 2018, 3. N. Kousi, C. Gkournelos, S. Aivaliotis, C. Giannoulis, G. Michalos, S. Makris, “Digital twin for adaptation of robots’ behavior in flexible robotic assembly lines”, International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2018), 8-10 October, Nantes, France 4. Garnier, S., Subrin, K., Arevalo-Siles, P., Caverot, G., Furet, B., 2018. Mobile robot stability for complex tasks in naval industries. Procedia CIRP 72, 297–302. 5. Herrero H., Outón J., Puerto M., Sallé D. and López de Ipiña K.. Enhanced Flexibility and Reusability Through State Machine Based Architecture for Robotics. Sensors. Vol: 17. 2017. ISSN: 1424-8220. 6. Roveda, L., 2018. A User-Intention Based Adaptive Manual Guidance with Force-Tracking Capabilities Applied to Walk-Through Programming for Industrial Robots, in: 2018 15th International Conference on Ubiquitous Robots (UR). Presented at the 2018 15th International Conference on Ubiquitous Robots (UR), IEEE, Honolulu, HI, USA, pp. 369–376. 7. Roveda, L., Pedrocchi, N., Beschi, M., Molinati Tosatti, L., 2018. High-accuracy robotized industrial assembly task control schema with force overshoots avoidance. Control Engineering Practice 71, 142–153. 8. Beschi, M., Villagrossi, E., Tosatti, L.M., Surdilovic, D., 2017. Sensorless model-based object-detection applied on an underactuated adaptive hand enabling an impedance behavior. Robotics and Computer-Integrated Manufacturing 46, 38–47. 9. Haninger, K., Surdilovic, D., 2018. Bounded Collision Force by the Sobolev Norm: Compliance and Control for Interactive Robots. arXiv:1810.03345 [cs] 10. Bessler, J., Schaake, L., Bidard, C., Buurke, J.H., Lassen, A.E.B., Nielsen, K., Saenz, J., Vicentini, F., 2019. COVR – Towards Simplified Evaluation and Validation of Collaborative Robotics Applications Across a Wide Range of Domains Based on Robot Safety Skills, in: Carrozza, M.C., Micera, S., Pons, J.L. (Eds.), Wearable Robotics: Challenges and Trends. Springer International Publishing, pp. 123–126. 11. Saenz, Jose & Petersen, Hauke & Behrens, Roland & Schulenburg, Erik & Vogel, Christian & Elkmann, Norbert. (2018). Reliable Planning of Human-Robot-Collaboration featuring Speed and Separation Monitoring. 12. I. Maurtua, N. Pedrocchi, A. Cesta, A. Orlandini, J. De Gea, J. Saenz, A. Geenen, K. Althoefer, “FourByThree: Imagine humans and robots working hand in hand”, ETFA Session on Safe Human-Robot Collaboration, 2016 13. I.Maurtua, A.Ibarguren, J. Kildal, L. Susperregi, B. Sierra, “Human Robot collaboration in Industrial applications: safety, interaction and trust”, in International Journal of Advanced Robotic Systems, 2017 14. Tellaeche, A., Kildal, J., Maurtua, I., 2018. A flexible system for gesture based human-robot interaction. Procedia CIRP 72, 57–62.