Bassem Boukhebouz
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Papers
1
Total Citations
5
H-Index
1
About
Bassem Boukhebouz is a robotics researcher whose work focuses on the identification and control of complex robotic systems, particularly those with flexible joints. His key research areas include nonlinear system identification, robot dynamics, and the modeling of friction and transmission nonlinearities. Boukhebouz’s major contribution lies in applying nonparametric methods—specifically the Best Linear Approximation (BLA) approach—to identify the dynamic behavior of flexible-joint robots in closed-loop setups. His 2020 paper, “Identification of single flexible-joint robot dynamics: a nonparametric approach,” has garnered 5 citations and stands out for addressing the challenging interplay between joint flexibility and nonlinear friction, offering a practical framework for improving robot model accuracy without relying on rigid assumptions. This work is notable for its potential to enhance the performance of robots in precision tasks, such as manufacturing and service robotics. Boukhebouz’s research bridges theoretical system identification with real-world robotic applications, making his contributions valuable for engineers and researchers seeking to advance robot control and design.
Research Focus
Key Achievements
Top Papers
- 1