Journal
ADVANCED INTELLIGENT SYSTEMS
Volume 5, Issue 4, Pages -Publisher
WILEY
DOI: 10.1002/aisy.202000244
Keywords
actuators; bioinspired robots; locomotion; modeling; soft robots; soft sensors; tail
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This article presents a control method for soft robotics, using silicone channels embedded with eutectic gallium-indium for strain sensing. A data-driven lumped parameter approach is developed to design a controller, allowing accurate simulation and tuning using experimental data and genetic algorithm. The model accurately predicts the robot's behavior and an amplitude controller is prototyped and deployed to reach the setpoint of tail-beat amplitude.
Soft robotics can be used not only as a means of achieving novel, more lifelike forms of locomotion, but also as a tool to understand complex biomechanics through the use of robotic model animals. Herein, the control of the undulation mechanics of an entirely soft robotic subcarangiform fish is presented, using antagonistic fast-PneuNet actuators and hyperelastic eutectic gallium-indium (eGaIn) embedded in silicone channels for strain sensing. To design a controller, a simple, data-driven lumped parameter approach is developed, which allows accurate but lightweight simulation, tuned using experimental data and a genetic algorithm. The model accurately predicts the robot's behavior over a range of driving frequencies and a range of pressure amplitudes, including the effect of antagonistic co-contraction of the soft actuators. An amplitude controller is prototyped using the model and deployed to the robot to reach the setpoint of a tail-beat amplitude using fully soft and real-time strain sensing.
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