A. H. Chebbi

University of Monastir, University of Bologna

Papers

4

Total Citations

23

H-Index

3

About

A. H. Chebbi is a robotics and mechanical engineering researcher whose work centers on the analysis, modeling, and optimization of parallel robotic manipulators. With a sustained focus on translational parallel robots — particularly the 3-UPU and related three-degree-of-freedom (3-DoF) configurations — Chebbi has made meaningful contributions to understanding how design imperfections and mechanical tolerances affect robot accuracy and reliability. Among Chebbi's most significant contributions is the development of analytical frameworks for error estimation and sensitivity analysis of parallel manipulators. By applying interval analysis methods and Newton–Euler formalism, Chebbi's 2018 study on the 3-UPU robot introduced a novel algorithm capable of quantifying the influence of design parameter uncertainties on robot performance, validated through ADAMS simulation software (8 citations). A complementary 2016 paper extended this approach to orientation error prediction in three-translational parallel manipulators, linking accuracy directly to joint clearances and nominal pose conditions (8 citations). A 2022 comparative study further advanced the field by benchmarking two distinct 3-DoF translational manipulators against one another, offering practical guidance for precision-oriented design decisions (4 citations). Earlier foundational work on kinetostatic and singularity analyses (2009) rounds out a research profile that is both theoretically rigorous and practically relevant to the design of high-precision robotic systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Error estimation and sensitivity analysis of the 3-UPU translational parallel robot due to design parameter uncertainties
8 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Monastir, University of Bologna

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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