Ygal Peretz

Papers

1

Total Citations

2

H-Index

1

About

Ygal Peretz is a researcher focused on advancing human-robot collaboration (HRC) in industrial settings, with a particular emphasis on designing integrated systems that enable fluent, real-time cooperation between human workers and robotic arms. His most-cited work, "Evaluation of Human-Robot Collaboration Models for Fluent Operations in Industrial Tasks" (2017), introduces a specially designed work cell where a robotic arm and a human operator collaboratively execute assembly tasks. This study, involving 80 industrial engineering participants, systematically evaluates different collaboration models to optimize workflow efficiency and safety. Peretz’s contributions lie in bridging the gap between theoretical HRC frameworks and practical industrial applications, offering empirical insights into how robots can adapt to human pace and decision-making. His work has garnered attention for its direct relevance to smart manufacturing and Industry 4.0, with citations reflecting its foundational role in shaping future collaborative robotics research. By prioritizing fluency and real-time adaptability, Peretz helps pave the way for more intuitive, productive human-robot teams in factories.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Human-Robot Collaboration Models for Fluent Operations in Industrial Tasks
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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