Mustapha Temmar
Papers
5
Total Citations
25
H-Index
3
About
Mustapha Temmar is a robotics researcher whose work focuses on bio-inspired locomotion and the dynamic modeling of robotic systems. His primary research areas include bipedal walking robots, human-inspired muscle mechanics, and the simulation of serial manipulators. Temmar’s major contribution lies in integrating passive spring elements that mimic mono- and biarticular muscles—such as the rectus femoris, biceps femoris, gastrocnemius, and tibialis anterior—into bipedal robot designs. This approach aims to replicate human-like walking stability and reduce joint fatigue, addressing key challenges in legged robotics. His most cited paper, “Toward a dynamic analysis of bipedal robots inspired by human leg muscles” (2018, 9 citations), demonstrates how adding these bio-inspired springs can achieve stable gait patterns. In related work, he has explored the effect of biarticular muscle placement on walking fatigue and the dynamic behavior of SCARA robots using Newton-Euler methods and SolidWorks/Matlab verification. Temmar’s research bridges mechanical design and biological inspiration, offering practical insights for developing more efficient, human-like robotic systems.
Research Focus
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