48 citations · 155 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…