Emotion-Aware AI: Enhancing Human-Robot Collaboration through Sentiment Recognition
DOI:
https://doi.org/10.63345/ijarcse.v1.i2.103Keywords:
Emotion-Aware AI, Human-Robot Interaction, Sentiment Recognition, Affective Computing, Deep Learning, Social RoboticsAbstract
With the increasing integration of robotics in various industries, the ability of robots to
understand and respond to human emotions is becoming crucial. Emotion-aware AI, driven by
sentiment recognition, enables more effective and natural human-robot collaboration. This paper
explores how sentiment analysis techniques, including facial expression detection, voice tone
analysis, and physiological data interpretation, can enhance robot interactions with humans. By
leveraging deep learning and affective computing, emotion-aware AI can improve teamwork,
safety, and productivity in diverse applications such as healthcare, customer service, and
industrial automation. This study provides an overview of emotion recognition methods, discusses
the challenges in sentiment analysis, and proposes an advanced AI framework for enhancing
human-robot collaboration.
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Articles are published under the Creative Commons Attribution NonCommercial 4.0 License (CC BY NC 4.0), allowing others to distribute, remix, adapt, and build upon the work for non-commercial purposes while crediting the original author.
