Papers
5
Total Citations
45
H-Index
3
About
Nadir Bendali is a robotics researcher whose work centers on the optimal trajectory planning of robotic manipulators, with a particular focus on achieving smooth, efficient, and constrained motion. His key research areas include trajectory optimization, kinematic and dynamic constraints, and the application of advanced mathematical functions to robotic control. Bendali’s major contribution is the development of novel methods using multiquadric radial basis functions (MQ-RBFs) to generate smooth joint trajectories, as demonstrated in his most-cited paper (2022, 29 citations). This work, along with his 2025 follow-up, addresses the critical challenge of minimizing time and jerk while respecting kinematic limits, offering practical solutions for industrial tasks like pick-and-place and spot welding. His earlier studies on time-jerk optimization and kino-dynamic constraints for robots like the PUMA 560 further solidify his expertise. With a total of 45 citations across his top papers, Bendali’s research is steadily gaining recognition for its potential to enhance robot performance and safety in manufacturing. His innovative use of MQ-RBFs marks a notable achievement, positioning him as a rising contributor to the field of robotic motion planning.
Research Focus
Key Achievements
Top Papers
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- 3Optimization the Trajectories of Robot Manipulators Along Specified Task6 citations · 2018
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