T. S. B. Sudarshan
Papers
14
Total Citations
123
H-Index
7
About
T. S. B. Sudarshan is a versatile researcher whose work spans robotics, computer vision, and machine learning, with particular expertise in swarm robotics, autonomous systems, and facial emotion recognition. His early contributions focused on multi-robot coordination and rescue robotics, where he developed frameworks for master-slave swarm architectures and multimodal time series data analysis to extract actionable intelligence from disaster environments — work that garnered over 20 citations each. His research on autonomous mobile robots equipped with sensor arrays has meaningfully advanced how rescue teams interact with hazardous environments. In more recent years, Sudarshan pivoted toward human-computer interaction, pioneering deep learning-based facial expression recognition systems that remain robust under challenging conditions such as varied poses, illumination changes, and facial mask occlusion. His 2022 paper on intelligent emotion intensity classification has already attracted 25 citations, reflecting growing interest in affective computing. Across his career, Sudarshan has consistently bridged theoretical machine learning techniques with real-world applications — from teaching mobile robots through demonstration-based learning to enabling robots to perceive and respond to human emotions — making him a compelling contributor to the broader field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Experimentation and Analysis of Time Series Data for Rescue Robotics12 citations · 2013
- 4Analysis of multimodal time series data of robotic environment12 citations · 2012
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- 6Classification of robotic data using artificial neural network10 citations · 2013
- 7Deep Facial Emotion Recognition System Under Facial Mask Occlusion7 citations · 2021
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