Muhamad Rausyan Fikri
Tokyo Institute of Technology, Tampere University, Sampoerna University
Papers
6
Total Citations
31
H-Index
3
About
Muhamad Rausyan Fikri is a researcher at the intersection of robotics, bio-inspired algorithms, and autonomous systems. His work focuses on bridging the gap between animal behavior and robotic implementation, with key contributions in adaptive behavior modeling, multi-robot coordination, and persistent monitoring. Fikri’s most cited paper, “Animal-in-the-loop system to investigate adaptive behavior” (2018, 15 citations), introduces a novel framework that integrates live animal responses into robotic control loops, enabling more realistic bio-inspired algorithms that account for dynamic robot characteristics. He has also advanced the field of robotic sensor networks, proposing a two-layer control framework for persistent monitoring of large areas (2024, 6 citations) and developing efficient multi-robot task allocation methods for nonsmooth objectives (2024). Fikri’s work extends to practical applications, including gas source localization using bio-inspired algorithms on mini flying sniffer robots (2020) and H-infinity controller design for two-wheeled mobile robots under disturbance (2021). His research on Wi-Fi communication for quadrotor flight formation (2018) further demonstrates his versatility in aerial robotics. With a growing citation record and a focus on real-world deployment, Fikri is establishing himself as a promising voice in adaptive and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Animal-in-the-loop system to investigate adaptive behavior15 citations · 2018
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