59 citations · 154 across the 18 of their papers we have counts for
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Mind the Context: Continual Learning of Socially Appropriate Robot Actions via Environmental-Social Disentanglement
Rafal Robert Karpinski, Fethiye Irmak Dogan, Nikhil Churamani +4
Social robots are expected to operate across diverse environments, where similar arrangements can imply different socially appropriate actions, e.g., starting a conversation may be…
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani, Saksham Checker, Fethiye Irmak Dogan +2
It is critical for robots to explore Federated Learning (FL) settings where several robots, deployed in parallel, can learn independently while also sharing their learning with eac…
Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker
Hatice Gunes, Nikhil Churamani
Social Robotics and Human-Robot Interaction (HRI) research relies on different Affective Computing (AC) solutions for sensing, perceiving and understanding human affective behaviou…
Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
Nikhil Churamani, Pablo Barros, Hatice Gunes +1
Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour. Yet, current approaches for affective behaviour generation in robots focus o…
iCub: Learning Emotion Expressions using Human Reward
Nikhil Churamani, Francisco Cruz, Sascha Griffiths +1
The purpose of the present study is to learn emotion expression representations for artificial agents using reward shaping mechanisms. The approach takes inspiration from the TAMER…