Congratulations to Hasibul Shovo for being awarded the MAX Scholarship 2026 in the Science and Engineering category!
About Us
Building AI Systems That Understand & Adapt to You
Welcome to the Personal and Interactive Autonomous Systems (PaInt) Laboratory at Concordia! Our goal is to develop AI systems that seamlessly integrate with and support people in their dynamic environments over the long term.
One of the core problems that we work on is long-term personalization through a bi-directional relationship between AI agents (such as robots, autonomous vehicles, LLMs, recommender systems, etc.) and their users. In this relationship, users can continually interact with and teach AI agents about their individual preferences and unique environments, and these agents can provide long-term personalized assistance to the users by reasoning on the continually acquired knowledge.
Our lab's expertise spans robotics, human-robot interaction, machine learning, computer vision, artificial intelligence, human-computer interaction, and cognitive science. We ground our work through various applications, such as assistive robotic arms and mobile manipulators, autonomous vehicles, smart systems, and in experiments with real human participants.
Robotics & HRI
Assistive robotic arms, mobile manipulators, and human-robot interaction
Machine Learning
Continual learning, personalization, and adaptive AI systems
Computer Vision
Visual perception for autonomous systems and environments
Human Studies
Real experiments with human participants to validate research
Updates
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Latest News
Congratulations to Dr. Ali Ayub who will serve as a program chair for RO-MAN 2027 in Waterloo!
Our paper "AdaKAN: A dual-branch adaptive Kolmogorov-Arnold network for medical image segmentation" has been accepted for publication in Pattern Recognition Letters.
Our paper by Eeham Khan and Abdulmoumen Al-Atrash, "Balancing Stability and Efficiency in Few-Shot Class-Incremental Learning", has been accepted for publication in CoLLAs Work-in-Progress track!
Our paper "Personalized and Robust Proactive Robot Assistance with Uncertainty-Guided LLM Reasoning" has been accepted for publication in RO-MAN 2026.
Our paper "Abstention-Aware Personalized Object Rearrangement via Uncertainty-Guided LLM Assistance" has been accepted for publication in RO-MAN 2026.
Congratulations to Vanessa for having been awarded a Canada Graduate Research Scholarship as well as a FQRNT Master’s Research Scholarship!