Papers

10

Total Citations

100

H-Index

6

About

Raz Leib is a sensorimotor neuroscientist and human-robot interaction researcher whose work sits at the intersection of motor control, haptic perception, and physical collaboration. His research has made significant strides in understanding how the brain plans and executes movement, most notably through his bang-bang control model, which elegantly explains the triphasic muscle activation patterns observed during hand reaching movements — a question that had puzzled motor control researchers for decades (22 citations). Leib has also been a leading voice in exploring how sensory delays — particularly in haptic and visual feedback — reshape both our perception of mechanical properties like stiffness and our underlying motor strategies, including control of unstable systems such as inverted pendulums. His work on skin-stretch illusions reveals how tactile cues powerfully modulate grip force and stiffness perception, independent of kinesthetic input. In more applied domains, his research on physical human-robot interaction demonstrates that haptic communication channels significantly improve dyadic coordination, particularly when humans assume a follower role (16 citations). Collectively accumulating over 100 citations, Leib's contributions offer foundational insights for designing intuitive robotic collaborators and deepening our understanding of human sensorimotor integration.

Research Focus

Key Achievements

6
H-Index
10
Papers
100
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A bang-bang control model predicts the triphasic muscles activity during hand reaching
22 citations · 2020
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Ben-Gurion University of the Negev, Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago