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About

Shruti Jaiswal is a researcher specializing in human-robot interaction, affective computing, and computer vision, with a particular focus on making humanoid robots more socially intelligent and capable of seamlessly integrating into human environments. Her most impactful contribution is her 2019 work on robust real-time emotion detection using CNN architectures, which has garnered 93 citations and established her as a notable voice in deep learning-based affective recognition. Building on this foundation, Jaiswal has consistently pursued the challenge of enabling robots to perceive and respond to human emotional states, culminating in optimized deep learning frameworks for emotion prediction in human-robot interaction scenarios. Beyond emotion recognition, her research portfolio extends to gesture-based communication with humanoid robots using single RGB cameras, and biped locomotion trajectory generation using sinusoidal and spline-based methods — demonstrating a broad command of robotics fundamentals. Her work on multiparty audio-visual emotion recognition further reflects her ambition to tackle emotion understanding in complex, real-world social settings. Across her publications, Jaiswal's research consistently addresses the critical technical barriers preventing robots from functioning as genuine social companions, making her contributions highly relevant to the growing field of socially aware robotics.