Samia Nefiti-Meziani

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About

Samia Nefiti-Meziani is a leading researcher in robotics and control systems, with a primary focus on adaptive grasping and robust manipulation. Her work addresses one of the most persistent challenges in robotics: enabling grippers to securely grasp objects of unknown geometry and mass distribution, even under unpredictable disturbances. Her most-cited paper, "High-performing adaptive grasp for a robotic gripper using super twisting sliding mode control" (2017, 9 citations), introduces a novel control strategy that prevents slippage while avoiding damage or deformation to objects. This approach leverages super twisting sliding mode control to achieve high precision and resilience, marking a significant advancement in adaptive robotic manipulation. Nefiti-Meziani’s contributions are particularly impactful for applications in manufacturing, prosthetics, and autonomous systems, where reliable grasping is critical. Her work has been recognized for bridging theoretical control methods with practical robotic challenges, inspiring further research in intelligent gripper design. With a growing citation record, she continues to shape the field of adaptive robotics, offering innovative solutions that enhance the dexterity and safety of robotic interactions in unstructured environments.