Portrait de Ali Ayub

Ali Ayub

Membre affilié
Professeur adjoint, Concordia University, Département d'informatique et de génie logiciel
Sujets de recherche
Apprentissage actif
Apprentissage continu
Apprentissage en ligne
IA appliquée
Interaction humain-robot
Vision par ordinateur
Site web
Google Scholar
LinkedIn

Publications

Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI): Evolving Assistance for Everyday Life
Bahar Irfan
Nikhil Churamani
Michelle Zhao
Rajat Kumar Jenamani
Ali Ayub
Silvia Rossi
Today's high-capacity generalist robot policies provide a strong foundation for broad task-level competence, yet achieving effective and equ… (voir plus)itable support for people in everyday settings remains a significant challenge. Real-world environments are dynamic and unstructured, and human needs evolve over time, requiring robots that can adapt accordingly. The ultimate evaluator of any robotic system is the person it assists, and personalization is essential to ensuring equitable and meaningful support across diverse users and contexts. Developing robots that can continually learn from interaction, adapt their behaviors over time, and flexibly assume roles as learners and collaborators is a critical step toward realizing effective integration of robots into daily life. With this year's theme of "Evolving Assistance for Everyday Life", and in alignment with the conference theme "HRI Empowering Society", the sixth edition of the "Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)" workshop aims to bring together insights across diverse disciplines, focusing on how robots can progressively adapt their support to suit diverse individuals, each with unique and changing needs, across real-world contexts. Through this lens, the workshop aims to discuss current and future directions in how assistive systems can flexibly respond, continually improve over time, and deliver more inclusive and empowering support in everyday life.
2026-03-15
International Conference on Human-Robot Interaction (publié)
doi.org