Papers
11
Total Citations
88
H-Index
6
About
Laredj Benchikh is a robotics and control systems researcher whose work spans mobile robot control, aerial manipulation, augmented reality interfaces, and intelligent trajectory planning. His most influential contribution, a 2016 paper on backstepping control for autonomous mobile robots (28 citations), introduced a Lyapunov-based kinematic tracking controller for unicycle-type robots, establishing a foundation he later extended through integral backstepping techniques to handle real-world disturbances more robustly. Benchikh has also made notable strides in aerial robotics, designing decoupled manipulation systems mounted on multirotors and developing novel centre-of-mass compensation mechanisms to improve stability during aerial manipulation tasks. Parallel to his control work, he has advanced human-robot interaction through augmented reality, creating distributed teleoperation architectures and AR-enhanced interfaces for teaching and programming industrial robots such as the FANUC series. His more recent research embraces soft computing and machine learning, including an LSTM-based approach for minimizing time, jerk, and energy in industrial robot trajectory planning. With over 80 cumulative citations across a decade of diverse contributions, Benchikh represents a broad and practically oriented voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Backstepping Approach for Autonomous Mobile Robot Trajectory Tracking28 citations · 2016
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- 3PD Sliding Mode Controller based Decoupled Aerial Manipulation9 citations · 2020
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- 7Trajectory reconstruction for robot programming by demonstration6 citations · 2020
- 8Integral Backstepping Approach for Mobile Robot Control6 citations · 2017
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