Embedded fuzzy logic controller for positive and negative pressure control in pneumatic soft robotsOguntosin, V., Nasuto, S. and Hayashi, Y. ORCID: https://orcid.org/0000-0002-9207-6322 (2018) Embedded fuzzy logic controller for positive and negative pressure control in pneumatic soft robots. In: 2017 UKSim-AMSS 19th International Conference on Modelling & Simulation, 5-7 April 2017, Cambridge, U.K..
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: https://doi.org/10.1109/UKSim.2017.41 Abstract/SummaryA key challenge in soft robotics is controlling the large deformation experienced as a result of high compliance nature of soft robots. In this work, a software control strategy for regulating the amount of internal positive and negative air pressure inside pneumatic soft robots is presented. Since the air pressure has a direct effect on the amount of deformation, the position of the robot is controlled. Pressure control was implemented with a fuzzy logic controller, which is described with its performance shown. The approach can be integrated into any specified soft robotic actuator requiring pneumatic actuation e.g. bending, triangular and muscle actuators.
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