LEAP-HRI 2024: Lifelong Learning and Personalization in Long-Term Human-Robot Interaction 2024 Hybrid Boulder, CO, United States, March 11, 2024 |
Conference website | https://leap-hri.github.io |
Submission link | https://easychair.org/conferences/?conf=leaphri2024 |
Early-bird submission deadline | January 12, 2024 |
Submission deadline | February 16, 2024 |
Call for Submissions to the HRI 2024 Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)
- Website: https://leap-hri.github.io/
- Workshop: 09:00-13:00 MT (16:00 - 20:00 CET) on March 11, 2024
- Location: Hybrid (Boulder, Colorado and online), as part of the 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2024)
- Manuscript submission site: https://easychair.org/conferences/?conf=leaphri2024
- Contact for submissions: Nikhil.Churamani AT cl.cam.ac.uk
Important Dates
- Early-bird submission deadline: January 12, 2024 - to be able to register at a low rate for the workshop
- Early-bird notification of acceptance: January 26, 2024
- General submission deadline: February 16, 2024
- General notification of acceptance: February 26, 2024
- Camera-ready deadline: March 4, 2024
All deadlines are at 23:59 Anywhere on Earth time.
Aim and Scope
The complex and largely unstructured nature of real-world situations makes it difficult for conventional closed-world robot learning solutions to adapt to such interaction dynamics. These challenges become particularly pronounced in long-term interactions where robots need to go beyond their past learning to continuously evolve with changing environment settings and personalize towards individual user behaviors. In contrast, open-world learning embraces the complexity and unpredictability of the real world, enabling robots to be “lifelong learners” that continuously acquire new knowledge and navigate novel challenges, making them more context-aware while intuitively engaging the users. This fourth edition of the “Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)” workshop seeks to bring together interdisciplinary perspectives on real-world applications in human-robotinteraction (HRI), including education, rehabilitation, elderly care, service, and companion robotics. The primary objective is to explore the concept of lifelong robot learning and the ability to continually adapt to users, contexts and environments in long-term HRI. Theworkshop’s goal is to foster collaboration and understanding across diverse scientific communities. This will be achieved through a combination of invited keynote presentations and in-depth discussions facilitated by contributed talks, break-out session, and a debate centered around the workshop’s theme. Aligned with the theme of the HRI 2024 conference, “HRI in the real world”, our workshop adopts the theme of “open-world learning”. This encourages the exploration of HRI theories, methodologies, designs, and studies focused on lifelong learning and personalization to learn and adapt to new concepts, users, and tasks after deployment in real-world applications in HRI.
Workshop Schedule
The workshop will be hybrid (in Boulder, Colorado and online) on March 11, 2024, from 09:00 to 13:00 MT (16:00 - 20:00 CET). It will consist of two keynote talks (30-minute presentation, 10-minute Q&A), a debate (1-hour), accepted paper talks (7-minute presentation, 3-minute Q&A), and a breakout session (20 minutes) to follow up on the discussions. The website has a detailed schedule.
Keynotes
- Sonia Chernova, Associate Professor at Georgia Institute of Technology (USA)
- Silvia Rossi, Associate Professor at University of Naples (Italy).
Debaters
- Georgia Chalvatzaki, Professor at TU Darmstadt (Germany)
- Maja Matarić, Professor at University of Southern California (USA)
- Hae Won Park, Research Scientist at Massachusetts Institute of Technology (USA) and Amazon Visiting Academic at Amazon Lab126 (USA)
- Siddhartha Srinivasa, Professor at University of Washington (USA) and Distinguished Engineer at Cruise (USA)
Debate Moderator
- Tony Belpaeme, Professor at Ghent University (Belgium) and Visiting Professor at University of Plymouth (UK)
List of Topics
We encourage researchers from HRI, robotics, cognitive science, rehabilitation and educational backgrounds to contribute. The workshop welcomes contributions across a wide range of topics including, but not limited to:
- Lifelong personalization and/or adaptation
- Lifelong learning or personalization for open-world learning
- Incremental and/or online learning in HRI
- Modeling user(s) and/or user behavior(s) in multi-session/long-term HRI
- Modeling robot behavior in multi-session/long-term HRI
- Modeling context in multi-session/long-term HRI
- Agent/robot architectures for personalization/adaptation
- Lifelong (long-term) human-agent or multi-user/multi-agentinteractions
- Lifelong (long-term) multimodal interactions
- Continual/lifelong machine learning
- Long-term memory (episodic, semantic, associative)
- Privacy and ethical considerations in lifelong learning/ per-sonalization in HRI
Submission Guidelines
We invite scientific papers ranging from 3 to 4 pages, with additional space allocated for references and appendices. Submissions can encompass various types of work, including ongoing projects with preliminary findings, technical reports, case studies, surveys, and cutting-edge research in the realms of lifelong learning and personalization. These topics span diverse fields in real-world applications, such as education, rehabilitation, elderly care, collaborative tasks, customer-oriented services, and companion robots, as well as long-term studies. We will encourage authors to align their submissions with the overarching theme of the workshop, “open-world learning”. All submitted papers will undergo a thorough review process to assess their relevance, originality, and scientific and technical robustness. Authors are asked to adhere to the submission guidelines outlined by HRI2024.
Submissions do not need to be anonymized for review. All manuscripts must be written in English and submitted electronically in PDF format via EasyChair (link given at the top). The accepted papers will be published on the workshop website, as well as in arXiv.
Authors should use ACM SIG format (“sigconf”, double column) template files (US letter): https://www.acm.org/publications/proceedings-template
Overleaf template (use “sigconf” as document class): https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary-article-template/wbvnghjbzwpc
Organizers
- Bahar Irfan, Postdoctoral Researcher and Digital Futures Fellow at KTH Royal Institute of Technology (Sweden)
- Mariacarla Staffa, Assistant Professor at University of Naples Parthenope (Italy)
- Andreea Bobu, Research Scientist at Boston Dynamics AI Institute (USA)
- Nikhil Churamani, Postdoctoral Researcher at University of Cambridge (UK)
Contact
All questions about submissions should be emailed to Nikhil.Churamani [AT] cl.cam.ac.uk