Ibrahim Khalil Kabir
Papers
2
Total Citations
17
H-Index
2
About
Ibrahim Khalil Kabir is a rising researcher in autonomous mobile robotics, with a focus on path planning and socially aware navigation. His most-cited work, a comprehensive 2025 review of classical and heuristic path planning techniques for autonomous mobile robots (AMRs), has already garnered 14 citations, establishing a foundational resource for researchers tackling the core challenge of optimal, collision-free route generation in logistics, healthcare, and transportation. Building on this, his 2026 survey on socially aware navigation explores how deep reinforcement learning can enable robots to move safely and intuitively among humans, addressing a critical gap in real-world deployment. Through these contributions, Kabir bridges traditional planning algorithms with modern AI-driven approaches, offering both a synthesis of established methods and a forward-looking perspective on human-robot interaction. His work is particularly valuable for students and engineers seeking to understand the evolution from classical path planning to adaptive, context-aware navigation systems.
Research Focus
Key Achievements
Top Papers
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- 2