Mourad Hebali

Université Mustapha Stambouli de Mascara

Papers

Total Citations

H-Index

About

Mourad Hebali is a robotics researcher focused on advancing the safety and efficiency of human–robot collaboration and industrial automation. His key research areas include collision detection for physical human–robot interaction, optimal trajectory planning, and energy-efficient robotic control. Hebali’s major contributions include the development of a sensorless robot collision detection method based on a fuzzy momentum observer, which enhances safety during physical interactions without requiring additional sensors—a critical step toward safer collaborative robots. He has also pioneered an optimal trajectory planning approach for industrial robots that minimizes time, jerk, and energy consumption by leveraging Long Short-Term Memory (LSTM) networks for energy profile modeling, addressing the growing demand for energy conservation in modern industry. His most-cited works, published in 2024 and 2025, have already garnered early citations, reflecting the timeliness and relevance of his research. Hebali’s work stands at the intersection of safety, efficiency, and intelligent control, offering practical solutions for next-generation robotic systems in manufacturing and collaborative environments.