Bottom-level motion control for robotic fish to swim in groups: modeling and experiments.

Moving in groups is one of the amazing spectacles of collective behaviour in fish and has attracted great interests from many fields including biology, physics and engineering. Although robotic fish has been well studied including algorithms to simulate group swimming, experiments that demonstrate multiple robotic fish swimming as a group stably is yet to be achieved. One of the challenges is the lack of robust bottom-level motion control system for the robotic fish platforms. Here we seek to overcome this challenge by focusing on the design and implementation of a motion controller for robotic fish that can enable multiple individuals to swim in groups. As direction control is essential in motion control, we first propose a high accuracy controller which can control a sub-carangiform robotic fish from one arbitrary position/pose (position and direction) to another. We then develop a hydrodynamic-model-based simulation platform to expedite the process of the parameter tuning of the controller. The accuracy of the simulation platform was assessed by comparing with the results from experiments on a robotic fish using speeding and turning tests. Subsequently, extensive simulations and experiments with the robotic fish were used to verify the accuracy and robustness of the bottom level motion control. Finally, we demonstrate the efficacy of our controller by implementing group swimming using three robotic fish swimming freely in prescribed trajectories. Although the fluid environment can be complex during group swimming, our bottom-level motion control remained nominally accurate and robust. This motion control strategy lays a solid foundation for further studies of group swimming with multiple robotic fish.