Papers
4
Total Citations
79
H-Index
4
About
Yohann Chemtob is a leading researcher at the intersection of robotics, ethology, and bio-inspired engineering, whose work explores how biomimetic robots can be used to study and modulate collective animal behavior. His primary research focuses on designing robotic fish that can socially integrate into living groups of zebrafish—a challenge that requires real-time calibration of behavioral models and closed-loop control systems. Chemtob’s most cited paper (2017, 34 citations) investigates how mimetic a robotic fish must be to achieve social acceptance, laying the groundwork for using robots as calibrated social stimuli in behavioral studies. His subsequent work (2018, 17 citations) refines this by developing multi-level behavioral models for real-time blending into fish groups. In a notable 2020 study (12 citations), Chemtob demonstrated strategies to modulate zebrafish collective dynamics using a closed-loop biomimetic system, drawing inspiration from sheepdog-like robotic behavior. With over 80 total citations across his key publications, Chemtob’s contributions are pioneering the use of socially integrated robots as tools for probing animal cognition and collective behavior, offering transformative potential for both fundamental biology and bio-inspired robotics.
Research Focus
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