Muhammad Aria Rajasa Pohan
Bandung Institute of Technology, Universitas Komputer Indonesia
Papers
2
Total Citations
46
H-Index
2
About
Muhammad Aria Rajasa Pohan is a robotics researcher specializing in path planning algorithms for mobile robots operating in complex and dynamic environments. His work focuses on enhancing the efficiency and optimality of autonomous navigation by hybridizing classical sampling-based methods with bio-inspired optimization techniques. In his most-cited paper (34 citations), Pohan introduced a novel hybridization of the Rapidly-exploring Random Tree (RRT) and Ant Colony System (ACS) algorithms, addressing RRT’s tendency to produce suboptimal paths by leveraging ACS’s ability to converge on optimal solutions. This work has become a reference point for researchers seeking to balance computational speed with path quality. More recently, his 2023 study (12 citations) extended these ideas to dynamic environments, proposing an efficient RRT-based method that integrates rule-template sets for rapid initial path planning and re-planning—a critical capability for real-world robotics. Pohan’s contributions are notable for their practical applicability, offering scalable solutions that improve robot autonomy in unpredictable settings. His research continues to influence the development of adaptive, real-time navigation systems, making him a rising figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 2