Vindhya Devalla

University of Petroleum and Energy Studies

Papers

Total Citations

H-Index

About

Vindhya Devalla is a robotics researcher whose work bridges automation and real-world industrial applications. Her primary research areas include object recognition, robotic manipulation, and autonomous underwater navigation. Devalla’s most cited paper, “Design and Development of Object Recognition and Sorting Robot for Material Handling in Packaging and Logistic Industries” (2012, 8 citations), introduces a vision-based sorting system that uses color as a distinguishing feature to identify, track, and sort objects. This work directly addresses efficiency challenges in logistics and packaging, demonstrating how camera-equipped robots can streamline material handling. Her second notable contribution, “Underwater Navigation Systems for Autonomous Underwater Vehicle” (2018, 4 citations), explores navigation strategies for AUVs, expanding her expertise into marine robotics. Though her citation counts are modest, Devalla’s work is significant for its practical focus—offering scalable solutions for industrial automation and underwater exploration. Her research reflects a commitment to developing robust, application-driven robotic systems, making her a valuable contributor to the fields of computer vision, autonomous systems, and industrial robotics.