Bhupesh Pandey

University of Petroleum and Energy Studies

Papers

Total Citations

H-Index

About

Bhupesh Pandey is a robotics researcher whose work centers on mobile robot localization, control systems, and kinematic optimization. His most cited paper, "Investigation on optimized relative localization of a mobile robot using regression analysis" (2016), tackles a fundamental challenge in autonomous navigation: improving the accuracy of odometry for differential drive wheel robots. By applying regression analysis to kinematic parameter identification, Pandey developed a method to reconstruct relative positioning with greater precision, addressing a core issue in versatile robotic mobility. Though his citation count—3 for this key work—reflects a niche but focused impact, his contribution lies in advancing practical solutions for real-world robot localization, a critical component for applications in industrial automation and service robotics. Pandey’s research bridges theoretical kinematics and applied regression techniques, offering a systematic approach to reducing error in mobile robot trajectory estimation. His work serves as a stepping stone for students and researchers exploring sensor fusion and optimization in autonomous systems, demonstrating how targeted statistical methods can enhance robotic performance without reliance on expensive hardware.