Fahri Ali Rahman
Papers
1
Total Citations
4
H-Index
1
About
Fahri Ali Rahman is a robotics researcher whose work centers on autonomous navigation, motion planning, and multi-robot coordination in highly dynamic environments. His primary research areas include kinodynamic motion planning, real-time obstacle avoidance, and the application of sampling-based algorithms like Rapidly-Exploring Random Trees (RRT) to mobile robot systems. Rahman’s most cited paper, “Real-Time Kinodynamic Motion Planning for Omnidirectional Mobile Robot Soccer using Rapidly-Exploring Random Tree in Dynamic Environment with Moving Obstacles” (2019, 4 citations), addresses the challenges of navigating omnidirectional robots in adversarial, fast-paced settings such as RoboCup Middle Size League (MSL) competitions. This work contributes to the broader field of robot soccer, which serves as a standardized testbed for advancing mobile robot navigation, multi-robot cooperation, communication, and system integration. By focusing on real-time motion planning amidst moving obstacles, Rahman’s research helps bridge the gap between theoretical algorithms and practical deployment in unpredictable environments. His achievements highlight the importance of robust, adaptive planning for autonomous systems operating in competitive and collaborative scenarios, making his work relevant for students and researchers interested in robotics, AI, and real-time control.
Research Focus
Key Achievements
Top Papers
- 1