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X-WR-CALDESC:Events for IEEE ICRA 2026
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DTSTART;TZID=Europe/Vienna:20260603T090000
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SUMMARY:Panel 3 - Building Sustainable and Trustworthy AI for Automation
DESCRIPTION:Moderator: \nMaria Pia Fanti\, Polytechnic University of Bari\, Italy\nBengt Lennartson\, Chalmers University\, Sweden \n  \nParticipants/Speakers: \nAude Billard\, EPFL STI IMT LASA\, Swisse\nTitle: Should we start listing domains where not to deploy automation? \nKen Goldberg\, University of California Berkeley\, USA\nTitle: Building Sustainable and Trustworthy AI for Sorting 100 Million E-Commerce Packages. \nAndra Keay\, Silicon Valley Robotics\, USA\nTitle: Five levels of sustainability for robotics: a conceptual framework \nBirgit Vogel-Heuser\, Technical University of Munich\, Germany\nTitle: Using Design and operation knowledge to increase trustworthiness of AI in Automation \n  \nDescription: \nAs AI-driven automation rapidly transforms industries\, questions of sustainability and trust have moved to the forefront. How can we ensure that automated systems are not only efficient and innovative\, but also environmentally responsible\, transparent\, fair\, and accountable? \nThis panel brings together experts from industry\, research\, and policy to explore how Sustainable and Trustworthy AI can be designed\, deployed\, and governed in real-world automation contexts. Panelists will discuss practical strategies to reduce the environmental footprint of AI systems\, address bias and reliability in automated decision-making\, and build user and public trust through transparency and oversight. \nThrough real-world examples and cross-sector perspectives\, the session will highlight current challenges\, emerging standards\, and actionable best practices. Attendees will gain insights into how organizations can balance performance\, responsibility\, and long-term impact as they scale AI-powered automation. \nThis panel is designed for a diverse audience interested in the development and use of AI in automation\, including practitioners and decision-makers working in AI\, automation\, manufacturing\, robotics\, IT\, and related sectors who want to implement AI systems that are efficient\, responsible\, and aligned with sustainability goals; faculty and lecturers in AI exploring the theoretical and societal implications of AI-driven automation; and researchers and PhD students investigating trustworthy AI\, green AI\, human-centered automation\, and governance frameworks who are looking to exchange ideas and learn about real-world challenges.
URL:https://2026.ieee-icra.org/event/panel-3/
LOCATION:VIECON – Hall A1
CATEGORIES:Daily Schedule,Panels
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DTSTART;TZID=Europe/Vienna:20260603T150000
DTEND;TZID=Europe/Vienna:20260603T163000
DTSTAMP:20260615T111352
CREATED:20260514T061134Z
LAST-MODIFIED:20260518T170711Z
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SUMMARY:Panel 4 - Publish or Perish: Surviving the Paper Deluge - Is AI the solution? If not\, what is the Solution?
DESCRIPTION:Moderator\nAude Billard\, EPFL \n\nPanelists/Speakers \nRenaud Detry\, KU Leuven\nGreg Dudek\, McGill University\nNadia Figueroa\, Univ. Pennsylvania\nDongheui Lee\, TUM\nShigeki Sugano\, Waseda University\nKunpeng Yao\, University of Leeds \n \nDescription:\n \nAs the robotics community faces an unprecedented acceleration in publication volume\, staying at the forefront of research has become a monumental challenge. As an example\, in 2025 alone\, IEEE published more than 50 thousands on robotics and automation\, and IEEE publications represent only a fraction of the total research available online. Reading even one subfield fully can take weeks of full-time work. That leaves little room to explore beyond one’s specialty\, even though major breakthroughs often come from cross-disciplinary idea. \nTo make things worse\, the vast majority of researchers search for papers using Google Scholar\, IEEEXplore\, or simply via Google\, arXiv\, and social media. All these search methods put on par papers published in any venue\, irrespective of the venue quality\, and including papers that have not undergone a peer-review process. Important contributions are hence more and more likely to go unnoticed. It has also become harder for young researchers to grasp the literature\, increasing the risk of revisiting already solved problems. \nThis panel will debate how to address this issue. The panelists will present different solutions\, ranging from reducing the volume of publications and modifying paper formats to emphasize novelty and significance\, to developing new search engines that rank papers according to the quality of the journal or conference\, or based on peer-review evaluation scores. Others will discuss the role that LLMs and other AI tools can play in reviewing the literature\, and present a case study comparing human versus LLM-generated review of the Learning from demonstration literature. The audience will be invited to participate in the debate through live polling and rank your question tool.
URL:https://2026.ieee-icra.org/event/panel-4/
LOCATION:VIECON – Hall A1
CATEGORIES:Daily Schedule,Panels,RAS Events
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