Joshua P. Martin
Papers
6
Total Citations
77
H-Index
4
About
Joshua P. Martin is a pioneering researcher in the field of biorobotics and computational neuroscience, with a primary focus on understanding the neural control of complex, visually guided behaviors in insects. His most significant contribution is the development of **MantisBot**, a 28-degree-of-freedom hexapod robot that serves as a high-fidelity, real-time neural simulation of the praying mantis. This platform, detailed in his most-cited work (35 citations), uniquely bridges biology and engineering by replicating animal postures and directed behaviors—such as prey tracking and striking—using biological neural models. Martin’s research demonstrates how minimal descending commands can enable a robot to pursue prey, mirroring observations in the mantis species *Tenodera sinensis*. Beyond mantises, his work on cockroach exploration (2 citations) reveals how animals exploit tactile boundaries to find shelter, offering algorithms for robotic navigation. By creating a physical model that tests neural hypotheses in real time, Martin provides an invaluable tool for studying leg multifunctionality and sensorimotor integration, with profound implications for both evolutionary biology and the design of agile, autonomous robots.
Research Focus
Key Achievements
Top Papers
- 1Mantisbot is a robotic model of visually guided motion in the praying mantis35 citations · 2017
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- 5How cockroaches exploit tactile boundaries to find new shelters2 citations · 2015
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