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X-WR-CALNAME:IEEE ICRA 2026
X-ORIGINAL-URL:https://2026.ieee-icra.org
X-WR-CALDESC:Events for IEEE ICRA 2026
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DTSTART;TZID=Europe/Vienna:20260603T150000
DTEND;TZID=Europe/Vienna:20260603T163000
DTSTAMP:20260627T192624
CREATED:20260514T061134Z
LAST-MODIFIED:20260518T170711Z
UID:2580-1780498800-1780504200@2026.ieee-icra.org
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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