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About

Arvind K. Bansal is a researcher specializing in affective computing, social robotics, and Human-Robot Interaction (HRI), with a particular focus on enabling robots to recognize, express, and respond to human emotions. His most influential contributions emerged in 2016, when he published a trio of foundational works exploring multimodal and deep learning-based approaches to robotic emotion — collectively garnering over 50 citations. These papers examined how convolutional neural networks and formal analytical frameworks could be leveraged to give robots genuine emotional intelligence, advancing applications in elderly care, healthcare, and customer service environments. Bansal's work thoughtfully distinguishes between a robot's internal emotional states and its outward communicative expressions, a nuance critical to designing authentic HRI systems. His more recent research has evolved toward conversational gesture generation and recognition in humanoid robots, employing Synchronous Colored Petri Nets and integrated learning models to achieve naturalistic, real-time gesture comprehension. Papers published between 2021 and 2024 reflect a sustained commitment to making social robots more contextually aware and communicatively fluent. Across his body of work, Bansal has consistently pushed the boundary between human social behavior and robotic capability, making him a meaningful contributor to the growing field of socially intelligent robotics.