Irad Ben‐Gal

Tel Aviv University

Papers

12

Total Citations

176

H-Index

7

About

Irad Ben-Gal is a leading researcher in robotics and autonomous systems, whose work bridges bio-inspired algorithms, remote learning, and quantum control. His key research areas include search and foraging theory, multi-agent coordination, and telerobotics. Ben-Gal's major contributions are exemplified by his highly cited work "Search and Foraging" (2015, 36 citations), which draws from biological principles to optimize robotic and multi-agent search strategies—a foundational benchmark for the field. He has also pioneered advancements in robotic failure management, notably through his "Backup strategy for robots’ failures in an automotive assembly system" (2009, 35 citations), enhancing industrial reliability. In education, Ben-Gal's "Remote learning for the manipulation and control of robotic cells" (2007, 23 citations) has enabled students to operate robotic cells via the internet, democratizing access to hands-on robotics training. His innovative exploration of quantum-controlled mobile robots, as seen in "Navigation of Quantum-Controlled Mobile Robots" (2011, 17 citations), integrates quantum decision-making into navigation, pushing the boundaries of autonomous systems. With over 170 citations across his top works, Ben-Gal's research has significantly impacted both theoretical foundations and practical applications in robotics, from swarm dynamics to industrial automation.

Research Focus

Key Achievements

7
H-Index
12
Papers
176
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Search and Foraging
36 citations · 2015
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Tel Aviv University

Top Papers

  1. 1
    Search and Foraging
    36 citations · 2015
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago