Hassan Jafarzadeh
Papers
1
Total Citations
11
H-Index
1
About
Hassan Jafarzadeh is a robotics researcher whose work centers on autonomous navigation and motion planning, with a particular focus on enabling robots to operate intelligently in unknown or dynamic environments. His most-cited paper, "A new effective algorithm for on-line robot motion planning" (2013), tackles the fundamental challenge of generating collision-free, globally optimal paths in real time—a critical problem for mobile robots that must adapt to sensor data on the fly. This sensor-based online approach has accumulated 11 citations, reflecting its practical relevance to the field. Jafarzadeh’s contributions lie at the intersection of path optimization and reactive control, offering algorithms that balance computational efficiency with safety. His work is especially valuable for applications in autonomous vehicles, service robotics, and industrial automation, where real-time decision-making is paramount. By addressing the dual demands of optimality and adaptability, Jafarzadeh has helped advance the state of the art in robot navigation, providing a foundation for further research in intelligent motion planning.
Research Focus
Key Achievements
Top Papers
- 1A new effective algorithm for on-line robot motion planning11 citations · 2013