Survey of Design Paradigms for Social Robots
Rita Frieske, Xiaoyu Mo, Yini Fang, Jay Nieles, Bertram E. Shi

TL;DR
This survey reviews various design paradigms for social robots, emphasizing the importance of integrated models that combine operational, communicational, and emotional aspects to improve human-robot interaction.
Contribution
It categorizes existing social robot design paradigms and introduces an original integrated model enhancing adaptability and empathy in social robots.
Findings
Categorization of social robot design paradigms
Identification of strengths and gaps in current approaches
Proposal of an integrated design model
Abstract
The demand for social robots in fields like healthcare, education, and entertainment increases due to their emotional adaptation features. These robots leverage multimodal communication, incorporating speech, facial expressions, and gestures to enhance user engagement and emotional support. The understanding of design paradigms of social robots is obstructed by the complexity of the system and the necessity to tune it to a specific task. This article provides a structured review of social robot design paradigms, categorizing them into cognitive architectures, role design models, linguistic models, communication flow, activity system models, and integrated design models. By breaking down the articles on social robot design and application based on these paradigms, we highlight the strengths and areas for improvement in current approaches. We further propose our original integrated design…
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Taxonomy
TopicsModular Robots and Swarm Intelligence
