Papers

4

Total Citations

20

H-Index

3

About

Md Arif Billah is an emerging researcher specializing in bio-inspired robotics, aerial swarm systems, and visually guided autonomous flight. His work draws heavily from insect neuroscience — particularly the sensory and feedback mechanisms of *Drosophila* and other insects — to develop robust, biologically motivated control strategies for multi-agent aerial systems. Billah's most significant contributions center on translating insect-inspired perception into functional swarm robotics. His 2022 study on robustness in bio-inspired multi-agent flight (8 citations) introduced the gain modulation hypothesis as a framework for mitigating sensor noise and modeling errors in aerial swarms — a persistent challenge in real-world implementations. Complementary work on insect small target motion detector neurons demonstrated how individual biological sensing models can generate coherent group motion behaviors. His 2023 research on optic flow enrichment via *Drosophila* head and retina movements further advanced understanding of how biological motion strategies can enhance inflight position regulation in robotic platforms. Across his growing body of work, accumulating over 20 citations, Billah bridges computational neuroscience and aerospace engineering. His research offers a promising pathway toward more resilient, biologically informed swarm robotics — an area of increasing relevance for autonomous aerial vehicle development.

Research Focus

Key Achievements

3
H-Index
4
Papers
20
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robustness in bio‐inspired visually guided multi‐agent flight and the gain modulation hypothesis
8 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Oklahoma State University, Oklahoma State University Oklahoma City

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago