Farshid Entesari

Papers

Total Citations

H-Index

About

Farshid Entesari is a robotics researcher whose work focuses on intelligent navigation for mobile robots operating in uncertain, dynamic environments. His most-cited contribution, “Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment” (2013, 28 citations), introduces a modified sensor-based online method that integrates velocity obstacle avoidance with a guidance-based tracking algorithm. A key innovation in this work is the fuzzy decision maker, which enables the robot to adapt its path in real time, balancing safety and efficiency amid unpredictable obstacles. This research addresses a fundamental challenge in autonomous robotics: ensuring reliable navigation when the environment is not fully known or static. Entesari’s approach has been influential in the development of more responsive and robust robotic systems, particularly in applications requiring real-time collision avoidance. His work demonstrates a strong command of control theory, fuzzy logic, and sensor integration, and it provides a practical framework for engineers designing autonomous vehicles or service robots. With 28 citations, this paper remains a relevant reference for researchers exploring adaptive navigation strategies in complex, real-world settings.