Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)

About
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 humanrobot 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.

Call for Papers
New: The call for papers is now open.

Areas of interest

We encourage researchers and students from HRI, robotics, cognitive science, rehabilitation, social sciences, 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

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. The accepted papers will be published on the workshop website, as well as in arXiv. Note that at least one author needs to register to HRI with (or only) workshop option, and attend in person or online for the accepted paper to be presented at the workshop.

In line with HRI full conference paper formatting, authors should use IEEE Conference format: Template files (US letter) or Overleaf template.

Important Dates

Early-bird submission deadline: January 24
Early-bird notification of acceptance: January 30
General submission deadline: February 14
General notification of acceptance: February 21
Camera-ready deadline: February 26

All deadlines are at 23:59 Anywhere on Earth time. Deadlines will not be extended.