Mohamed Naceur Abdelkrim

About

Mohamed Naceur Abdelkrim is a leading figure in multi-robot systems and mobile robotics, whose work has fundamentally advanced the field of autonomous navigation. His primary research focuses on distributed and centralized path planning, where he has pioneered the use of artificial potential field methods to solve complex coordination problems. His most influential contribution, the 2018 paper on "Distributed path planning of a multi-robot system based on the neighborhood artificial potential field approach" (47 citations), introduced a decentralized architecture that allows each robot to independently detect and avoid collisions while maintaining group cohesion. Abdelkrim is also renowned for solving the persistent "local minimum" problem in potential field navigation, a critical bottleneck in multi-robot motion planning, detailed in his 2015 work (30 citations). Beyond path planning, he has made significant strides in fault-tolerant control for robotic manipulators and flexible joint robots, developing robust algorithms to compensate for actuator faults and uncertainties. His research, spanning over a decade, has accumulated hundreds of citations, establishing him as a key authority in both theoretical and applied robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Distributed path planning of a multi-robot system based on the neighborhood artificial potential field approach

   47 citations · 2018
2. 2
   Contribution to the path planning of a multi-robot system: centralized architecture

   44 citations · 2019
3. 3
   Local minimum solution for the potential field method in multiple robot motion planning task

   30 citations · 2015
4. 4
   Path planning of a group of robots with potential field approach: decentralized architecture

   26 citations · 2017
5. 5
   Attractive Force Based on Fractional Potential in Dynamic Motion Planning for Mobile Robot

   17 citations · 2007
6. 6
   Robust path planning for mobile robot based on fractional attractive force

   13 citations · 2009
7. 7
   Reconfigurable control of flexible joint robot with actuator fault and uncertainty

   11 citations · 2019
8. 8
   A fault tolerant control for robot manipulators against actuator fault

   10 citations · 2017
9. 9
   Fast adaptive fault estimation algorithm: Application to unicycle rOBOT

   9 citations · 2013
10. 10
    Robust path planning for dynamic environment based on fractional attractive force

    9 citations · 2009

Key Collaborators

Contact & Links