Papers
10
Total Citations
78
H-Index
6
About
Kamel Bouzgou’s research lies at the intersection of robotics, control systems, and human-robot interaction, with a focus on geometric modeling, manipulation, and trajectory planning. His most influential work, “Geometric modeling and singularity of 6 DOF Fanuc 200IC robot” (21 citations), addresses critical challenges in kinematic modeling and Jacobian singularities that affect robot accessibility and boundaries. Expanding on this, his 2015 study on workspace analysis (12 citations) provides criteria for selecting optimal inverse geometric solutions, directly aiding motion control and redundancy management. Bouzgou has also pioneered aerial manipulation, designing a decoupled PD sliding mode controller (9 citations) and a novel aerial system with geometric center-of-mass compensation (5 citations). His innovative use of augmented reality for robot manipulation (7 citations) and soft computing for path planning (6 citations) demonstrates a commitment to accessible, intelligent robotics. More recently, his 2025 work on optimal trajectory planning using LSTM for energy modeling (2 citations) tackles industrial energy efficiency, minimizing time, jerk, and energy consumption. With over 80 total citations across these contributions, Bouzgou’s work bridges theoretical modeling and practical control, offering valuable insights for students and researchers in advanced robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Geometric modeling and singularity of 6 DOF Fanuc 200IC robot21 citations · 2014
- 2Workspace Analysis and Geometric Modeling of 6 DOF Fanuc 200IC Robot12 citations · 2015
- 3PD Sliding Mode Controller based Decoupled Aerial Manipulation9 citations · 2020
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- 6MoCap systems and hand movement reconstruction using cubic spline6 citations · 2018
- 7Integral Backstepping Approach for Mobile Robot Control6 citations · 2017
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