Mohammad Ali Nekoui

About

Mohammad Ali Nekoui is a robotics and control systems researcher whose work spans soft robotics, autonomous navigation, and intelligent control. His most influential contribution, "Position and Force Control of a Soft Pneumatic Actuator" (2020, 63 citations), addresses the growing demand for compliant robotic systems in sensitive domains such as aerospace and medicine, where rigid robots risk causing irreversible harm. By drawing inspiration from biological systems, this work advances the field of soft robotics significantly. Nekoui has also made substantial contributions to mobile robot localization and mapping, pioneering adaptive neuro-fuzzy extensions of the Extended Kalman Filter to overcome its sensitivity to uncertain noise parameters — work that has collectively attracted nearly 30 citations. His SLAM-focused research further demonstrates expertise in particle filter methods and soft computing techniques for real-world autonomous navigation. In medical robotics, his optimization-driven neural network and genetic algorithm approach for lower-limb rehabilitation robots reflects a commitment to translating intelligent control theory into human-centered applications. His more recent work on deep reinforcement learning for safe robot navigation signals a forward-looking trajectory embracing modern AI paradigms. Across his career, Nekoui's research consistently bridges theoretical control methods with practical robotic implementations.

Research Focus

Key Achievements

Top Papers

1. 1
   Position and Force Control of a Soft Pneumatic Actuator

   63 citations · 2020
2. 2
   Adaptive Neuro-Fuzzy Extended Kaiman Filtering for robot localization

   21 citations · 2010
3. 3
   Optimized intelligent control of a 2-degree of freedom robot for rehabilitation of lower limbs using neural network and genetic algorithm

   14 citations · 2013
4. 4
   An optimization based method for simultaneous localization and mapping

   10 citations · 2014
5. 5
   Adaptive Neuro-Fuzzy Extended Kalman Filtering for Robot Localization

   7 citations · 2010
6. 6
   Inverse kinematic for an 8 degrees of freedom biped robot based on cubic polynomial trajectory generation

   5 citations · 2011
7. 7
   Improving the Performance of the PI Systems through the Use of Neural Network

   5 citations · 2010
8. 8
   A NOVEL PARTICLE FILTER BASED SLAM

   5 citations · 2013
9. 9
   Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation

   4 citations · 2025
10. 10
    A SLAM based on auxiliary marginalised particle filter and differential evolution

    4 citations · 2013

Key Collaborators

Contact & Links