Samir Rebai
Papers
1
Total Citations
8
H-Index
1
About
Samir Rebai is a robotics researcher whose work focuses on optimal motion planning for robotic manipulators, particularly in the context of dynamic and constrained environments. His most notable contribution, the 2006 paper "A Stochastic Off Line Planner of Optimal Dynamic Motions for Robotic Manipulators," introduces a general and computationally efficient method for solving free (or point-to-point) motion planning problems for both redundant and non-redundant serial robots. This approach addresses the critical challenge of linking two points in operational space while respecting constraints on joint torques, jerks, accelerations, velocities, and positions—a problem central to industrial and service robotics. With 8 citations, this work has provided a foundational framework for researchers seeking to optimize robot trajectories under real-world physical limits. Rebai’s research is particularly valuable for students and engineers working on advanced robotic control, as it offers a practical, stochastic solution to a traditionally complex optimization problem. His contributions underscore the importance of balancing computational simplicity with rigorous constraint handling in robotic motion planning.
Research Focus
Key Achievements
Top Papers
- 1