News
- Oct 27, 2024 - The proceedings are now live, congrats to all accepted papers!
- Oct 15, 2024 - Our workshop was featured in an article by the IEEE Robotics and Automation Society (RAS)!
- Oct 14, 2024 - The workshop was held at IROS in Abu Dhabi and attracted many participants! (Event Pictures)
- Aug 30, 2024 - The submission deadline (
September 1) is extended to September 21! - Jul 30, 2024 - Submissions Portal is now open!
- Jun 25, 2024 - We are excited to host the fist workshop on Long-Term Perception for Autonomy in Dynamic Human-shared Environments at IROS 2024!
Overview
This workshop aims to bring together researchers across the robotics, computer vision, and machine learning communities to discuss the unique challenges and opportunities in long-term perception for autonomy in human-centric environments. We aim to present the latest advances and emerging techniques, to identify the core challenges in human-centric scenes — which are highly complex, semantically rich, distinctly dynamic and subject to constant change — and to set the direction of research to address them in the coming years. Recent advancements are presented through a series of invited and contributed talks by distinguished leading researchers from academia and industry. The workshop discusses the pressing questions and tensions in the field — End-to-end learned vs. geometry-based? Maps vs. mapless? High-fidelity vs. scalability? Dense vs. symbolic? Safety vs. performance? Foundation models vs. on-domain learning? — In short: What do robots really need from perception solutions for effective and safe long-term autonomy around and with humans? To encourage interaction among all participants, the workshop features a poster and demos session, spotlight talks, and an interactive discussion session, connecting invited speakers, contributors, organizers, and attendees in smaller groups for an open-ended guided in-depth discussion. All talks and accepted contributions are published on the workshop’s webpage to expand its reach and impact. A best presentation award and support for underrepresented student researchers is sponsored by Amazon. This workshop builds on the success of our previous popular workshops in perception and mapping at IROS’23 and ICRA’22, but with a distinct focus on dynamic human-centric environments to enable long-term robot autonomy.
Event Pictures
Invited Speakers
Schedule
| Time | Talk | Comments |
|---|---|---|
| 14:00-14:10 | Welcome Remarks | Organizing Committee |
| 14:10-14:35 | Plenary 1: Trusted and introspective positioning systems for people and their machines [Slides] | Michael Milford (QUT) |
| 14:35-15:00 | Plenary 2: The coupling of perception and interaction for object discovery and understanding [Slides] | Jen Jen Chung (UQ) & Francesco Milano (ETH) |
| 15:00-15:25 | Plenary 3: State estimation and 3D scene understanding for mobile robots | Stefan Leutenegger (TUM) |
| 15:25-15:45 | Spotlight Talks | Presentations of award finalists selected from the submission to the workshop |
| Moving Object Segmentation in Point Cloud Data using Hidden Markov Models | Vedant Bhandari, Jasmin James, Tyson Phillips, and Ross McAree | |
| Taxonomy-Aware Class-Incremental Semantic Segmentation for Open-World Perception | Julia Hindel, Daniele Cattaneo, and Abhinav Valada | |
| DUFOMap: Efficient Dynamic Awareness Mapping | Qingwen Zhang, Daniel Duberg, Mingkai Ji, and Patric Jensfelt | |
| 15:45-16:30 | Coffee Break & Poster + Demo Session | Accepted posters and demos |
| 16:30-16:55 | Plenary 4: Spatial AI for Robotics and MR | Marc Pollefeys (Microsoft and ETH) |
| 16:55-17:20 | Plenary 5: Spatiotemporal 3D Scene Understanding [Slides] | Iro Armeni (Stanford) |
| 17:20-17:50 | Interactive Discussion | Guided group discussions of mixed groups consisting of invited speakers, organizers, junior researchers with posters, and other attendees. |
| 17:50-18:00 | Closing Remarks | Organizing Committee |
Accepted Papers
Winner of the Outstanding Workshop Presentation Award
Taxonomy-Aware Class-Incremental Semantic Segmentation for Open-World Perception [Paper] [Poster]Julia Hindel, Daniele Cattaneo and Abhinav Valada
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Spotlight Presentations
Moving Object Segmentation in Point Cloud Data using Hidden Markov Models [Paper] [Poster] [Slides]Vedant Bhandari, Jasmin James, Tyson Phillips and P. Ross McAree
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Daniel Duberg* , Qingwen Zhang* , MingKai Jia and Patric Jensfelt
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Nicky Zimmerman and Matteo Sodano
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[Paper] [Poster]
Ahmad Farooq and Kamran Iqbal
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Mason B. Peterson, Yi Xuan Jia, Yulun Tian, Annika Thomas and Jonathan P. How
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