Raihan Kabir
Papers
8
Total Citations
96
H-Index
4
About
Raihan Kabir is a robotics researcher whose work centers on intelligent path planning, multi-robot coordination, and human-robot interaction. His most impactful contribution is the development of an enhanced A-Star algorithm for robotic path planning, which optimizes search nodes, path cost, and time complexity—a paper that has already garnered 42 citations since 2024. Kabir also pioneered a cloud-based multi-robot framework using one-class Support Vector Machines for unknown object detection (20 citations), addressing critical challenges in inter-robot communication and computational load. His research extends to non-touch HRI interfaces through dynamic hand gesture recognition (15 citations) and multi-robot collaboration for disaster rescue operations. Notably, his 2025 survey on Advanced Data Science Platforms for Cyber-Physical Systems, Digital Twins, and Robotics demonstrates his forward-looking perspective on integrating robotics with data-driven technologies. Kabir’s work consistently tackles real-world deployment challenges—from tunnel disaster rescue to cloud-robot system management—making his research highly relevant for autonomous systems operating in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Enhanced Robot Motion Block of A-Star Algorithm for Robotic Path Planning42 citations · 2024
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- 7An Efficient Cloud Framework for Multi-Robot System Management3 citations · 2021
- 8A Novel Task Assignment Strategy for Multi-robot System1 citations · 2025