Boumedyen Boussaid
Papers
13
Total Citations
165
H-Index
5
About
Dr. Boumedyen Boussaid is a leading researcher in multi-robot systems, specializing in path planning, fault detection, and fault-tolerant control. His work addresses critical challenges in coordinating wheeled mobile robots, particularly in distributed and centralized architectures. Dr. Boussaid’s most influential contribution is the “Distributed path planning of a multi-robot system based on the neighborhood artificial potential field approach” (2018, 47 citations), which introduced a novel method for collision avoidance in multi-robot teams. He also made significant strides in solving the local minimum problem in potential field methods (2015, 30 citations), a common issue in multi-robot navigation. His research extends to fault diagnosis, with notable works on fast adaptive fault estimation (2013, 9 citations) and fault detection using machine learning (2022, 5 citations). Dr. Boussaid’s work on finite-time consensus for multi-tricycle systems (2020, 4 citations) and fault-tolerant control (2015, 3 citations) further demonstrates his impact on ensuring robust and reliable multi-robot operations. With over 150 total citations, his contributions are essential for advancing autonomous robotic systems in complex environments.
Research Focus
Key Achievements
Top Papers
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- 4Fast adaptive fault estimation algorithm: Application to unicycle rOBOT9 citations · 2013
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- 6Fault detection in wheeled mobile robot based Machine Learning5 citations · 2022
- 7Robust Unknown Input Observer-Based Fast Adaptive Fault Estimation5 citations · 2015
- 8Fault Detection of Multi-Wheeled Robot Consensus Based on EKF4 citations · 2024
- 9Finite time consensus for multi-tricycle systems under graph theory4 citations · 2020
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