Achyut Shankar
University of Warwick, Lovely Professional University, Bennett University
Papers
3
Total Citations
46
H-Index
3
About
Dr. Achyut Shankar is a leading researcher at the intersection of robotics, artificial intelligence, and healthcare technology, whose work is shaping the future of autonomous systems and medical diagnostics. His primary research areas include multi-robot systems, swarm intelligence, and deep learning applications in healthcare. Dr. Shankar’s most impactful contribution is his pioneering work on dynamic obstacle avoidance for multi-robot flocks, where he developed an improved artificial potential field algorithm that ensures predictable, high-security navigation in complex environments—a critical advancement for industrial and defense applications. This work has garnered 26 citations, underscoring its influence on safe multi-robot coordination. He has also made significant strides in Industry 5.0 by integrating supervised learning into robotic monitoring systems, achieving 12 citations for a framework that enhances real-time operational verification. More recently, Dr. Shankar has applied deep residual networks to diabetic retinopathy detection, demonstrating AI’s transformative potential in medical imaging. His research not only advances theoretical foundations but also delivers practical, high-impact solutions for smart manufacturing and healthcare, establishing him as a versatile innovator in modern engineering.
Research Focus
Key Achievements
Top Papers
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