G. Vinoth Kumar

Indian Institute of Technology Hyderabad

Papers

Total Citations

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About

G. Vinoth Kumar is a robotics researcher whose work focuses on autonomous navigation and visual perception, particularly for aerial and social robotic systems. His key research areas include visual servoing for micro aerial vehicles (MAVs), social robot navigation in crowded environments, and human-aware motion planning. Kumar’s most notable contribution is the development of an instance-invariant visual servoing framework for part-aware autonomous vehicle inspection using MAVs, published in 2019 and cited 11 times. This work addresses a critical limitation of traditional visual servoing approaches—their instance specificity—by enabling robots to generalize across different objects during inspection tasks, significantly advancing autonomous infrastructure monitoring. More recently, in 2023, Kumar explored social motion latent spaces and human awareness for robot navigation, achieving a 2-citation impact while demonstrating substantial improvements in success rate and navigation metrics in crowded environments. His research bridges the gap between robust visual control and socially compliant robot behavior, making him a promising voice in the intersection of computer vision, control theory, and human-robot interaction. Kumar’s work is particularly relevant for students and researchers interested in autonomous systems, field robotics, and socially aware navigation.