Naveen Aggarwal

Thapar Institute of Engineering & Technology, Panjab University

Papers

Total Citations

H-Index

About

Naveen Aggarwal’s research lies at the vibrant intersection of human-robot interaction and affective computing, with a focus on making machines more responsive to human gestures and emotions. His work on gesture-controlled robotics is exemplified by a highly cited 2019 paper on a four-wheel mobile robot, where he developed an accelerometer and Wi-Fi-based glove system to intuitively control a robotic arm. This contribution to intuitive, wearable control systems has garnered 10 citations and demonstrates his commitment to bridging the gap between human intent and machine action. More recently, Aggarwal has made a significant mark in emotion detection. His comprehensive 2025 review of unimodal and multimodal emotion recognition—covering datasets, approaches, and limitations—has already earned 8 citations, signaling its rapid impact on the field. By critically analyzing both facial and speech-based emotion detection, he has provided a valuable roadmap for researchers tackling the challenges of human-computer interaction, mental health assessment, and social robotics. His work highlights the limitations of traditional handcrafted features and unimodal systems, pushing the field toward more robust, multimodal solutions. Aggarwal’s dual focus on practical robotic control and nuanced emotional AI marks him as a forward-thinking researcher shaping the future of empathetic, responsive technology.