Leon Koren

University of Zagreb

Papers

7

Total Citations

65

H-Index

5

About

Leon Koren is at the forefront of human-robot collaboration, pioneering systems that prioritize safety, emotional intelligence, and adaptive interaction. His core research spans safe industrial robotics, multimodal emotion analysis, and embodied virtual beings. Koren’s most influential work, “Towards a Safe Human–Robot Collaboration Using Information on Human Worker Activity” (25 citations), proposes machine learning frameworks to allow robots to work alongside humans without physical barriers, addressing critical safety and flexibility challenges in manufacturing. He is also the creator of PLEA, an interactive, biomimetic robotic head that fuses acoustic, visual, and linguistic inputs to perceive and express human emotions in real time—a breakthrough for context-driven, empathetic human-robot interaction. His studies on multimodal emotion analysis, combining voice, facial expressions, and language, have garnered over 20 combined citations, laying groundwork for robots that understand nuanced human states. Koren’s work on context-driven interaction and person localization further enhances robotic adaptability in volatile environments. With a growing citation record and innovative contributions to socially aware robotics, Koren is shaping a future where machines are not just tools, but collaborative partners.

Research Focus

Key Achievements

5
H-Index
7
Papers
65
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Towards a Safe Human–Robot Collaboration Using Information on Human Worker Activity
25 citations · 2023
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Zagreb

Top Papers

  1. 1
  2. 2
    PLEA
    13 citations · 2021
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago