Papers
7
Total Citations
655
H-Index
6
About
Arun Kumar Sangaiah is a leading researcher at the intersection of artificial intelligence, robotics, and industrial automation. His work focuses on developing intelligent systems for human–computer interaction, autonomous navigation, and next-generation Industry 5.0 applications. Sangaiah’s major contributions include pioneering methods for head pose estimation using asymmetric relation-aware representation learning (283 citations), which has transformative potential in online education and human–robot collaboration. He has also advanced mobile robotics through modified artificial potential field algorithms for obstacle avoidance (244 citations) and state-dependent Riccati equation-based optimal control techniques. His recent work extends to AI-driven security protocols for intelligent flying vehicles in consumer electronics and hyperautomation for air quality evaluation using evidential three-way decision-making. With over 655 citations across his most influential papers, Sangaiah’s research demonstrates significant impact in bridging theoretical AI with practical robotic systems. His notable achievements include integrating federated learning with three-way decisions for efficient robot navigation, showcasing his commitment to developing secure, autonomous, and context-aware systems for real-world industrial and consumer applications.
Research Focus
Key Achievements
Top Papers
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- 4A new approach for mobile robot localization based on an online IoT system37 citations · 2019
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