Sanket Salvi

National Institute of Technology Karnataka

Papers

Total Citations

H-Index

About

Sanket Salvi is a researcher focused on intelligent automation and embedded systems for real-world infrastructure and service challenges. His work spans railway safety, human-robot interaction, and waste management, with a strong emphasis on integrating AI and IoT into practical, low-cost solutions. His most cited paper, "AI based Solar Powered Railway Track Crack Detection and Notification System with Chatbot Support" (2019, 13 citations), addresses a critical safety issue in India’s expanding railway network—detecting track cracks that often lead to derailments. By combining solar power, AI-based crack detection, and a chatbot interface for real-time alerts, Salvi proposed a sustainable, scalable system to prevent accidents. In "Follow Me: A Human Following Robot Using Wi-Fi Received Signal Strength Indicator" (2020, 12 citations), he explored non-visual, wireless signal-based tracking for autonomous robots, offering a novel approach to human-robot collaboration. His "Fully Automated Waste Management System Using Line Follower Robot" (2021, 2 citations) further demonstrates his commitment to automating essential services. Though early in his career, Salvi’s work is notable for its direct societal impact, targeting pressing issues in developing nations with innovative, energy-efficient, and accessible technology.