Jatin Upadhyay

Institute of Infrastructure Technology Research and Management

Papers

Total Citations

H-Index

About

Jatin Upadhyay is a robotics and embedded systems researcher whose work bridges the gap between autonomous navigation and intelligent IoT applications. His primary research focuses on developing low-power, vision-based robotic systems for indoor environments where GPS signals are unreliable. In his most cited work, "An RSSI-Based Localization, Path Planning and Computer Vision-Based Decision Making Robotic System" (2020, 15 citations), Upadhyay pioneered a hybrid approach combining signal strength localization with computer vision, enabling small robots to navigate and make decisions autonomously in GPS-denied spaces. This contribution addresses critical limitations in indoor robotics, where traditional sensors often fail due to power constraints. His subsequent work, "WLAN-Based Smart Door Closer Design with Image Classification" (2021, 2 citations), extends his expertise into smart infrastructure, integrating wireless networking and image recognition for automated access control. Upadhyay’s research is particularly valuable for students and engineers working on cost-effective, energy-efficient robotic platforms and IoT devices, demonstrating how combining multiple sensing modalities can overcome the constraints of indoor navigation and automation.