Yahya Tashtoush

Jordan University of Science and Technology

Papers

Total Citations

H-Index

About

Yahya Tashtoush is a researcher specializing in robotics and intelligent systems, with a primary focus on mobile robot navigation in unknown and static environments. His work bridges artificial intelligence and control systems, particularly through the application of fuzzy logic to enhance autonomous decision-making. In his most cited paper (2021, 7 citations), Tashtoush introduced a novel algorithm for detecting and resolving local minima in robot navigation within Internet of Things (IoT) indoor systems, comparing five innovative approaches against the traditional wall-following method. Earlier foundational contributions include a 2007 study (6 citations) that modeled robot navigation on human driving behaviors—such as goal seeking, obstacle avoidance, and deadlock resolution—using fuzzy logic. He further advanced the field with a 2013 paper (2 citations) proposing a fuzzy speed controller that dynamically adjusts robot velocity in unknown static settings. While his citation counts are modest, Tashtoush’s work represents incremental yet practical steps toward more adaptive and human-like robotic movement, offering valuable insights for students and researchers in autonomous systems and IoT-integrated robotics.