Netta Cohen

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About

Netta Cohen is a pioneering researcher at the intersection of robotics, neuroscience, and dynamical systems, with key contributions to bio-inspired robotics and neural control. Her work is perhaps best known for developing miniaturized autonomous robots inspired by the nematode *Caenorhabditis elegans*, a model organism in neuroscience. In her most-cited paper (29 citations, 2022), she introduced a novel miniaturized mobile robot capable of autonomous navigation through unknown pipe networks—a breakthrough that overcomes the limitations of tethered systems, which are costly, restricted to large diameters, and require skilled operators. This work has significant implications for infrastructure inspection and search-and-rescue. Earlier, she pioneered a *C. elegans*-inspired micro-robot using polymeric actuators and online vision (2009, 6 citations), demonstrating how biological principles can drive robotic locomotion. Cohen also advanced theoretical frameworks, notably in her 2004 paper (6 citations) on dynamical systems analysis of neuromodulation, which provides foundational insights for evolutionary robotics and robust control system design. Her interdisciplinary approach—bridging biology, engineering, and mathematics—has established her as a leading voice in understanding how neural dynamics govern behavior, with lasting impact on both robotics and neuroscience.