Samir Bendoukha

Yanbu University College, Taibah University

Papers

Total Citations

H-Index

About

Samir Bendoukha is a researcher specializing in humanoid robotics, control systems, and human-robot interaction. His work focuses on developing dynamic control strategies to enable safe and effective cooperation between humans and humanoid robots, particularly in scenarios requiring synchronized motion and fault tolerance. Bendoukha’s most cited paper, "Dynamic Control for Human-Humanoid Interaction" (2017), with 4 citations, introduces control frameworks for stable human-robot collaboration. In a related study (2019), he addresses chaos stabilization and tracking recovery in a faulty humanoid robot arm during cooperative tasks, analyzing a 4-degree-of-freedom system including shoulder and elbow joints. This work highlights his contributions to ensuring robust performance even under mechanical failures. While his citation counts are modest, Bendoukha’s research is foundational for advancing humanoid robots in assistive and industrial settings, emphasizing real-time adaptability and safety. His achievements include pioneering control methods that bridge human intent with robotic precision, offering valuable insights for students and engineers developing next-generation collaborative robots.