Call for Submissions to the HRI 2025 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 Australian Eastern Daylight Time (AEDT) on March 3, 2025
• Location: Hybrid (Melbourne, Victoria, Australia and online), as part of the 20^th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2025)
• Manuscript submission site: https://easychair.org/conferences/?conf=leaphri2025 
• Contact for submissions: mzhao2 AT andrew.cmu.edu

Important Dates

• Early-bird submission deadline: January 24, 2025  - to be able to register at a low rate for the workshop
• Early-bird notification of acceptance: January 30, 2025
• General submission deadline: February 14, 2025
• General notification of acceptance: February 21, 2025
• Camera-ready deadline: February 26, 2025

All deadlines are at 23:59 Anywhere on Earth time.

Aim and Scope

Global inequalities in access to essential resources such as education, healthcare, and technology continue to widen social and economic disparities, especially in underserved and underrepresented communities. The growing integration of foundation models and other machine learning systems in robots offers promising and personalized solutions that can adapt to various individuals, situations, and environments, potentially addressing some of these gaps. By learning from interactions and evolving with local conditions, these systems can provide individualized support, such as assisting older adults with daily tasks, aiding children with special needs in learning environments, or empowering people with disabilities to live more independently. Building trust and fostering collaboration between humans and robots will help ensure that these systems meet the unique needs of all individuals, especially within long-term human-robot interaction (HRI).

With this year's theme of Overcoming Inequalities with Adaptation, in line with the overall theme of the conference Robots for a Sustainable World, the fifth edition of the Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI) workshop aims to bring together insights across diverse disciplines, exploring how continually evolving robots can effectively operate in diverse environments, promoting greater equity, inclusivity, and empowerment for individuals and communities. The workshop aims to facilitate collaborations across diverse scientific perspectives through a keynote presentation, panel discussions, and in-depth discussions on the contributed talks, attempting to shape a more sustainable and equitable future through adaptive advancements in long-term HRI.

Workshop Schedule

The workshop will be hybrid (in Melbourne, Victoria and online) on March 3, 2025, from 09:00 to 13:00 AEDT. It will consist of one keynote talks (20-minute presentation, 10-minute Q&A), a panel (1-hour), accepted paper talks (2 sessions, 7-minute presentation, 3-minute Q&A), and a breakout session (50 minutes) to follow up on the discussions. The website has a detailed schedule.

Keynotes

• Dana Kulić, Professor at Monash University (Australia)

Panelists

• Bill Smart, Professor at Oregon State University (USA)
• Anara Sandygulova, Associate Professor at Nazarbayev University (Kazakhstan)
• Maartje de Graaf, Assistant Professor at Utrecht University (Netherlands)
• Tapomayukh Bhattacharjee, Assistant Professor at Cornell University (USA)

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
• Bias mitigation in adaptive HRI
• Privacy and ethical considerations in lifelong learning/ personalization in HRI
• Cross-cultural adaption in HRI
• Achieving fairness and inclusivity with learning and adaptation
• 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-agent interactions
• Lifelong (long-term) multimodal interactions
• Continual/lifelong machine learning
• Long-term memory (episodic, semantic, associative)

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 encourage submissions to align their submissions with the overarching theme of the workshop, "Overcoming Inequalities with Adaptation''. All submitted papers will undergo a thorough review process to assess their relevance, originality, and scientific and technical robustness.

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.

In line with HRI full conference paper formatting, authors should use IEEE Conference format. Template files (US letter): https://www.ieee.org/conferences/publishing/templates.html

Overleaf template: https://www.overleaf.com/latex/templates/ieee-conference-template/grfzhhncsfqn

Organizing Committee

• Bahar Irfan, Postdoctoral Researcher and Digital Futures Fellow at KTH Royal Institute of Technology (Sweden)
• Nikhil Churamani, Postdoctoral Researcher at University of Cambridge (UK)
• Michelle Zhao, PhD Candidate at Carnegie Mellon University (USA)
• Ali Ayub, Assistant Professor at Concordia University (Canada)
• Silvia Rossi, Associate Professor at University of Naples, "Federico II'' (Italy)

Contact

All questions about submissions should be emailed to mzhao2 AT andrew.cmu.edu.