El‐Hassane Aglzim
Centre Hospitalier de l'Agglomération de Nevers, Université de Bourgogne
Papers
3
Total Citations
72
H-Index
3
About
El-Hassane Aglzim is a researcher specializing in autonomous systems, mobile robotics, and intelligent transportation, with a particular focus on the critical challenges of path planning, navigation, and obstacle avoidance for autonomous vehicles and robots. His work sits at the intersection of control theory, robotics, and advanced driving assistance systems (ADAS), addressing some of the most pressing safety concerns in the development of fully autonomous platforms. Aglzim's most impactful contribution is his comprehensive 2022 review of safe control techniques for autonomous vehicles, which has garnered 64 citations and serves as a valuable reference for researchers navigating the rapidly evolving landscape of path planning methodologies. Beyond survey work, he has made original technical contributions through the development of the Parallel Elliptic Limit-Cycle approach, a novel mathematical framework enabling autonomous robots to navigate around both static and dynamic obstacles with greater precision and reliability. His research demonstrates a progressive deepening of expertise, moving from broad analytical reviews to targeted algorithmic solutions. For students and engineers working in autonomous systems, Aglzim's work offers both a strong theoretical foundation and practical strategies for building safer, smarter robotic vehicles capable of operating in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
Key Collaborators
Related papers
- Dynamic and Static Obstacles Avoidance Strategies Using Parallel Elliptic Limit-Cycle Approach for Autonomous Robots
- Static Obstacles Avoidance of Autonomous Mobile Robots Based on Limit Cycle Approach
- Obstacle avoidance using limit cycles
- Thorough Review Analysis of Safe Control of Autonomous Vehicles: Path Planning and Navigation Techniques
- Socially-Aware Reactive Obstacle Avoidance Strategy Based on Limit Cycle
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