Praveen Kumar Shukla

Babu Banarasi Das University, Manipal University Jaipur

Papers

Total Citations

H-Index

About

Praveen Kumar Shukla is an emerging researcher at the intersection of computer vision and robotics, with a focused body of work exploring how intelligent systems can perceive and interact with the physical world. His research consistently bridges theoretical frameworks with practical engineering solutions, making meaningful contributions to the field of autonomous and intelligent robotic systems. Shukla's most recognized contribution lies in his repeated engagement with computer vision and robotics, a research thread that has garnered 16 citations across publications in 2022 and 2023, reflecting growing interest in his foundational perspectives. His more recent work demonstrates an impressive integration of modern deep learning architectures with classical control theory. Notably, his 2024 paper on an intelligent self-balancing robot showcases his ability to combine MobileNetV2-based object detection with PID control mechanisms to create robots capable of identifying hazardous household objects while maintaining dynamic stability — a technically sophisticated achievement that addresses real-world safety challenges. Though early in his citation trajectory, Shukla represents a promising voice in applied robotics research, particularly for students and engineers interested in the practical deployment of computer vision systems within autonomous platforms. His work signals a researcher committed to making intelligent robotics both functional and contextually aware.