Idan Arye

Bar-Ilan University

Papers

2

Total Citations

45

H-Index

2

About

Idan Arye is a robotics researcher whose work bridges bio-inspired algorithms and distributed autonomous systems. His primary research areas include swarm robotics, multi-robot coordination, and online area coverage—problems where robots must efficiently explore and map unknown environments without prior knowledge. Arye’s most significant contribution is a novel bio-inspired approach that draws from the collective behaviors of ants and birds, enabling robot teams to achieve robust, decentralized coverage with minimal communication. This work, published in 2018, has garnered 14 citations and is recognized for its elegant synthesis of biological principles with practical robotic constraints. He also contributed to the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016), a key venue for the field, which has accumulated 31 citations. Arye’s research is notable for its focus on real-world applicability, addressing challenges like scalability and fault tolerance. His achievements highlight a commitment to developing autonomous systems that learn from nature, offering scalable solutions for tasks such as search-and-rescue and environmental monitoring. For students and researchers, Arye’s work exemplifies how interdisciplinary thinking can advance robotics, making complex coordination problems tractable through simple, nature-inspired rules.

Research Focus

Key Achievements

2
H-Index
2
Papers
45
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016)
31 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Bar-Ilan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago