Nilotpala Bej

Papers

Total Citations

H-Index

About

Nilotpala Bej is a robotics researcher whose work focuses on intelligent motion planning and control for wheeled mobile robots operating in complex, dynamic environments. Her key research areas include bio-inspired optimization algorithms, fuzzy logic control, and autonomous navigation in both stationary and non-stationary settings. Bej’s major contributions lie in developing novel path-planning strategies that enhance robot adaptability and efficiency. Her most cited work, "Optimum Navigation of Four-Wheeled Ground Robot in Stationary and Non-stationary Environments Using Wind-Driven Optimization Algorithm" (2020), with 10 citations, demonstrates how wind-driven optimization can achieve superior trajectory planning compared to conventional methods. Another influential paper, "Type-2 Fuzzy Controller (T2FC) Based Motion Planning of Differential-Drive Pioneer P3-DX Wheeled Robot in V-REP Software Platform" (2020, 8 citations), showcases her expertise in applying advanced fuzzy logic to real-time control, validated through simulation. By integrating optimization algorithms with robust control frameworks, Bej’s research addresses critical challenges in autonomous robotics, offering practical solutions for safer and more reliable robot navigation. Her work is particularly valuable for students and researchers exploring the intersection of computational intelligence and mobile robotics.