Erhan Ege Keyvan

Middle East Technical University

Papers

2

Total Citations

40

H-Index

2

About

Erhan Ege Keyvan pioneers the intersection of robotics, artificial intelligence, and behavioral biology, with a focus on autonomous systems for studying social insects. His major contributions center on developing mechatronic platforms that enable long-term, non-invasive tracking and interaction with honey bee colonies. In his highly cited 2024 work (26 citations), Keyvan introduced a multi-robot system that autonomously tracks honey bee behaviors over extended periods, leveraging AI and machine learning to decode the complex self-regulation of colonies, particularly around the queen. This breakthrough allows researchers to observe natural behaviors without human interference. His 2023 paper (14 citations) further advanced the field by designing a robotic manipulator—combining micro- and macro-manipulators with bio-mimetic agents—that can physically interact with individual bees within a hive swarm. By merging mechatronics with entomology, Keyvan’s work provides unprecedented tools for studying pollination dynamics and colony health. His achievements demonstrate how cooperative robots can revolutionize behavioral science, offering scalable solutions for ecological monitoring and precision agriculture.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots
26 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Middle East Technical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago