Ibrahim Ibrahim

KU Leuven

Papers

1

Total Citations

4

H-Index

1

About

Ibrahim Ibrahim is a leading researcher in mobile robotics, with a primary focus on optimal path planning and motion control. His most significant contribution is the development of accelerated algorithms for Reeds–Shepp path computation, a foundational problem in nonholonomic robot navigation. In his widely cited 2025 paper, Ibrahim introduced a geometrically intuitive method that redefines state-space partitioning, drastically reducing the set of viable paths needed for optimal solutions. This work not only improves computational efficiency but also addresses underspecified scenarios, broadening the applicability of Reeds–Shepp paths in real-time autonomous systems. With 4 citations already, his research is gaining traction among roboticists seeking faster, more reliable path planners. Ibrahim’s achievements demonstrate a rare ability to blend rigorous mathematical reasoning with practical engineering, making his work essential reading for students and researchers in autonomous navigation and control theory.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Accelerated Reeds–Shepp and Underspecified Reeds–Shepp Algorithms for Mobile Robot Path Planning
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: KU Leuven

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago