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20192026
most citedCognitively-Inspired Model for Incremental Learning Using a Few Examples

48 citations · 155 across the 23 of their papers we have counts for

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13 papers · 1 filter

cs.RO2026

Abstention-Aware Personalized Object Rearrangement via Uncertainty-Guided LLM Assistance

Sam Collin, Ali Ayub

Robotic assistance in household environments requires not only predicting where objects should be placed, but also reasoning about when objects should not be placed at all. Existin…

cs.RO2026

Personalized and Robust Proactive Robot Assistance with Uncertainty-Guided LLM Reasoning

Alvaro Gonzalez, M. H. Hasan Shovo, Ali Ayub

Proactive robot assistance in household environments requires accurate prediction of human activities and object usage under dynamic and noisy conditions. Existing approaches often…

cs.RO2024

Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots

Ali Ayub, Chrystopher Nehaniv, Kerstin Dautenhahn

For robots to perform assistive tasks in unstructured home environments, they must learn and reason on the semantic knowledge of the environments. Despite a resurgence in the devel…

cs.RO2023★ 5 cited

CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics

Ali Ayub, Alan R. Wagner

For most real-world applications, robots need to adapt and learn continually with limited data in their environments. In this paper, we consider the problem of Few-Shot class Incre…

cs.RO2023

Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation

Ali Noormohammadi-Asl, Ali Ayub, Stephen L. Smith +1

With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various…

cs.RO2023

How Do Human Users Teach a Continual Learning Robot in Repeated Interactions?

Ali Ayub, Jainish Mehta, Zachary De Francesco +3

Continual learning (CL) has emerged as an important avenue of research in recent years, at the intersection of Machine Learning (ML) and Human-Robot Interaction (HRI), to allow rob…

cs.RO2023

A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction

Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn

For robots to assist users with household tasks, they must first learn about the tasks from the users. Further, performing the same task every day, in the same way, can become bori…

cs.RO2023★ 7 cited

Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions

Ali Ayub, Zachary De Francesco, Patrick Holthaus +2

For long-term deployment in dynamic real-world environments, assistive robots must continue to learn and adapt to their environments. Researchers have developed various computation…

cs.RO2022

Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household Robot

Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn

Assistive robots operating in household environments would require items to be available in the house to perform assistive tasks. However, when these items run out, the assistive r…

cs.RO2021★ 6 cited

F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning

Ali Ayub, Alan R. Wagner

Deep learning has achieved remarkable success in object recognition tasks through the availability of large scale datasets like ImageNet. However, deep learning systems suffer from…

cs.RO2021

Learning Novel Objects Continually Through Curiosity

Ali Ayub, Alan R. Wagner

Children learn continually by asking questions about the concepts they are most curious about. With robots becoming an integral part of our society, they must also learn unknown co…

cs.RO2021

Continual Learning of Visual Concepts for Robots through Limited Supervision

Ali Ayub, Alan R. Wagner

For many real-world robotics applications, robots need to continually adapt and learn new concepts. Further, robots need to learn through limited data because of scarcity of labele…

cs.RO2020★ 1 cited

Teach Me What You Want to Play: Learning Variants of Connect Four through Human-Robot Interaction

Ali Ayub, Alan R. Wagner

This paper investigates the use of game theoretic representations to represent and learn how to play interactive games such as Connect Four. We combine aspects of learning by demon…