Long-Term Perception for Autonomy in Dynamic Human-shared Environments: What Do Robots Need?

• 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!

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.

We invite short papers of novel or recently published research relevant to the topics of the workshop.

• Short papers are 2+n pages (2 pages content + references)
• Submissions must follow the IEEE Conference double column format
• All accepted papers will be presented as posters at the workshop and published on the workshop website.
• Please indicate whether your paper falls into the ‘novel’ or ‘previously published’ category. Novel research papers are encouraged and can expect more substantial review feedback on their work. This is provided as a service to authors of novel papers and does not diminish the chance of acceptance.
• All accepted submissions will be considered for the best presentation award, where 3 finalists will be selected for 5-minute plenary presentations. While all submissions are eligible, novelty will be considered in finalist selection.
• Submissions are single blind and will be reviewed by members of the (extended) workshop committee.
• Submissions can optionally be accompanied by a video.

Invited topics

We invite contributions from the areas of:

• Scene and object representations
• Long-term mapping and scene understanding
• Open-set scene understanding and foundation models
• Motion and change detection
• Prediction and planning in dynamic and changing scenes
• Safety in perception, planning and prediction
• Continual and lifelong learning

Review Criteria

Novel submission will be evaluated on:

• Relevance to the topics of the workshop
• Recency and novelty
• Clarity of presentation
• Technical Quality
• Strength of results (i.e., the results show promise for early stage work, the (planned) experimental setup is adequate)

Papers that have previously been published will mainly be evaluated on the first two points (relevance and recency). If so, please mention in the submission where it has been published.

Call for Demonstrations

We invite live demonstrations during the poster session. These can either accompany a submitted paper or be standalone. For standalone demonstrations, please submit an up to two pages description and/or video of the demo. Demos will be evaluated on recency and relevance to the workshop.

Submissions Portal

Please submit your paper via CMT.

Submissions Timeline