Rajanikanth Aluvalu

Chaitanya Bharathi Institute of Technology

Papers

Total Citations

280

H-Index

About

Rajanikanth Aluvalu is at the forefront of intelligent automation, seamlessly blending artificial intelligence, robotics, and quantum computing to drive the next wave of digital transformation. His primary research areas include autonomous systems, intelligent automation in transportation, and the emerging intersection of quantum machine learning with optoelectronic robotics. Aluvalu’s most impactful contribution is his comprehensive survey on autonomous vehicles and intelligent automation, which has garnered 276 citations. This work systematically explores how robotic process automation and AI can replace human drivers, promising enhanced safety and intelligent vehicle movement—a cornerstone reference in the field. He has also advanced underwater robotics by developing a fuzzy clustering membership correlation approach to diagnose structural issues in robotic inundated systems, addressing critical connectivity gaps. Most recently, Aluvalu is pioneering the integration of quantum machine learning into optoelectronic robotic systems, aiming for unprecedented precision in automation. His work consistently bridges theoretical innovation with practical application, making him a key voice in the evolution of autonomous and intelligent robotic systems.