ArticleFrontiers in robotics and AI2022
Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions.
Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Review
- Multimodal perception-driven decision-making for human-robot interaction: a survey.Frontiers in robotics and AI · 2025Review
- Augmenting ECG Data with Multiple Filters for a Better Emotion Recognition System.Arabian journal for science and engineering · 2023Article
- Towards a Personality AI for Robots: Potential Colony Capacity of a Goal-Shaped Generative Personality Model When Used for Expressing PersonalitiesFrontiers in robotics and AI · 2022Article
- Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task.Frontiers in neurorobotics · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Collaborative interactions require social robots to share the users' perspective on the interactions and adapt to the dynamics of their affective behaviour. Yet, current approaches for affective behaviour generation in robots focus on instantaneous perception to generate a one-to-one mapping between observed human expressions and static robot actions. In this paper, we propose a novel framework for affect-driven behaviour generation in social robots. The framework consists of (i) a hybrid neural model for evaluating facial expressions and speech of the users, forming intrinsic affective representations in the robot, (ii) an
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