Amine Bouaine
Papers
1
Total Citations
8
H-Index
1
About
Amine Bouaine is a researcher specializing in robotics and control systems, with a particular focus on trajectory planning and nonlinear optimization. His work addresses the complex challenge of enabling autonomous robots to navigate efficiently while respecting their physical constraints. In his most cited paper, "Trajectory planning for a four-wheel robot using decomposition-coordination principle" (2015), Bouaine introduced a novel approach that first models a robot's kinematics and dynamics, then solves the resulting nonlinear equations using a decomposition-coordination principle. This method allows for more efficient and accurate path generation, balancing computational complexity with real-world applicability. Though his citation count of 8 for this work reflects a niche but specialized audience, Bouaine's contributions are significant for researchers working on mobile robotics and autonomous navigation. His approach offers a practical framework for integrating dynamic constraints into trajectory planning, which is essential for applications ranging from warehouse automation to autonomous vehicles. Bouaine’s work continues to influence the development of more intelligent and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1