1 code implementation • 30 Jun 2023 • Ali Ayub, Jainish Mehta, Zachary De Francesco, Patrick Holthaus, Kerstin Dautenhahn, Chrystopher L. Nehaniv
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 robots to continually learn in their environments over long-term interactions with humans.
1 code implementation • 22 May 2023 • Ali Ayub, Zachary De Francesco, Patrick Holthaus, Chrystopher L. Nehaniv, Kerstin Dautenhahn
Our results suggest that participants' perceptions of trust, competence, and usability of a continual learning robot significantly decrease over multiple sessions if the robot forgets previously learned objects.