Abstract
This paper discusses the design decisions, process, and results for a set of robotic rat hindlimbs scaled up to 2.5 times the size of the rat. The design is inspired by a previous model from within our lab, but includes a variety of improvements to further the utility and biological accuracy of the model. The robot is comprised of two legs with four motors each to actuate sagittal rotations of the hip, knee, and ankle joints as well as an internal hip rotation. The motor’s torque, inertial, viscous, and stiffness properties are characterized for dynamic scaling to be properly implemented in the future control scheme. With direct position commands, the robot’s joint movements are able to reflect those of the rat, proving its validity as a test bed for the implementation of future neural control schemes.
This work was supported by NSF RI 1704436 and also DFG FI 410/16-1 and NSF DBI 2015317 as part of the NSF/CIHR/DFG/FRQ/UKRI-MRC Next Generation Networks for Neuroscience Program.
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Acknowledgements
We would like to thank Emmett Donnelly-Power for his help in understanding the design philosophy behind his previous rat hindlimb robot. We would also like to thank Fletcher Young for providing data used for the scaling analysis.
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Aronhalt, E. et al. (2023). Development of a Robotic Rat Hindlimb Model. In: Meder, F., Hunt, A., Margheri, L., Mura, A., Mazzolai, B. (eds) Biomimetic and Biohybrid Systems. Living Machines 2023. Lecture Notes in Computer Science(), vol 14158. Springer, Cham. https://doi.org/10.1007/978-3-031-39504-8_8
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