Pranshu Shukla

National Institute of Technology Karnataka

Papers

Total Citations

H-Index

About

Pranshu Shukla is a robotics researcher whose work lies at the intersection of autonomous navigation, computer vision, and real-time perception systems. His most-cited paper, "Simulation of Indoor Localization and Navigation of Turtlebot 3 using Real Time Object Detection" (2021, 9 citations), introduces a novel method enabling a Turtlebot 3 to identify its indoor environment by recognizing fixed objects through real-time object detection. This approach allows the robot to determine its location and navigate autonomously without relying on traditional mapping techniques, demonstrating a practical fusion of deep learning and mobile robotics. Shukla’s contributions advance the field of indoor robot localization, offering a scalable solution for service robots in dynamic environments. His work has been cited by researchers exploring low-cost autonomous systems and object-aware navigation, highlighting its relevance in educational and prototyping contexts. By integrating YOLO-based detection with ROS-based control, Shukla showcases how accessible hardware and software can achieve sophisticated spatial reasoning. His research continues to inspire students and engineers working on intelligent, vision-guided robots for real-world indoor applications.