Ossama Mokhiamar

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About

Ossama Mokhiamar is a researcher focused on advancing the fields of robotics and mechanical design, with particular expertise in the kinematics and optimization of robotic mechanisms. His work centers on developing innovative solutions for walking robots and serial manipulators, addressing fundamental challenges in mechanism design and motion control. Mokhiamar’s most cited paper, "Design and Analysis of a Planar Six-Bar Crank-Driven Leg Mechanism for Walking Robots" (2024, 8 citations), introduces a novel leg mechanism that integrates a six-bar crank-driven system with a skew pantograph, optimized through rigorous dimensional synthesis using GIM software. This contribution is notable for its potential to improve the efficiency and stability of walking robots. Additionally, his 2021 paper, "Novel use of the Monte-Carlo methods to visualize singularity configurations in serial manipulators" (4 citations), presents an innovative numerical approach to identifying kinematic singularities in 6-DOF robots, offering a practical tool for enhancing manipulator safety and performance. Through these works, Mokhiamar demonstrates a commitment to bridging theoretical kinematics with applied robotics, making his research valuable for students and engineers seeking to understand and optimize complex mechanical systems.