This research takes the fixed displacement pump-variable displacement motor hydraulic transmission system of offshore hydraulic wind turbine (HWT) as the research object, to solve the parameter uncertainly problem of maximum power point tracking (MPPT) control of HWT. The feedback linearization method is used to deal with the nonlinear state space model of the system. Aiming at the problem that the feedback linearization method needs an accurate mathematical model and the hydraulic transmission system of the HWT has the characteristics of parameter uncertainly, the RBF neural network adaptive control theory is used to deduce the control strategy. Taking the pump speed and power as the output respectively, the MPPT control strategy is realized. The theory proposed above is verified by Matlab/Simulink. The simulation results show that the control strategy with pump power as output is more smooth than that with speed as output, which is friendly to the grid. The simulation results under fluctuating wind speed show that the MPPT control strategy has good robustness. By comparing the simulation results, the control strategy proposed in this research solves the problem of parameter uncertainty, and does not cause the system out of control like only using feedback linearization.

Bionic robotics and actuators have made dramatic advancements in structural design, material preparation, and application owing to the richness of nature and innovative material design. Appropriate and ingenious sources of bio‐inspiration can stimulate a large number of different bionic systems. After millennia of survival and evolutionary exploration, the mere existence of life confirms that nature is constantly moving in an evolutionary direction of optimization and improvement. To this end, bio‐inspired robots and actuators can be constructed for the completion of a variety of artificial design instructions and requirements. In this article, the advances in bio‐inspired materials for robotics and actuators with the sources of bio‐inspiration are reviewed. The specific sources of inspiration in bionic systems and corresponding bio‐inspired applications are summarized first. Then the basic functions of materials in bio‐inspired robots and actuators is discussed. Moreover, a principle of matching biomaterials is creatively suggested. Furthermore, the implementation of biological information extraction is discussed, and the preparation methods of bionic materials are reclassified. Finally, the challenges and potential opportunities involved in finding sources of bio‐inspiration and materials for robotics and actuators in the future is discussed.

In marine biological sampling, the noncontact polyhedral gripper is initially developed for the purpose of capturing brittle animals and delicate soft‐bodied organisms. However, the auxiliary driving rods of earlier polyhedral grippers make their structure complex, and the unidirectional surrounding capture process makes it simple to generate water flow with less capture effect. Herein, an origami polyhedral gripper for midwater sampling is introduced, along with its fabrication, analysis, material selection, and size parameter calculation process. The capture process is designed to be omnidirectional surrounding; therefore, the generated water flow can be reduced. And the whole mechanism is bi‐stable and only needs one actuator to operate. Capture experiments on pet fish with fragile tails were conducted on a remotely operated vehicle (ROV) and on simply constructing artificial arms to prove its feasibility and high adaptability. Overall, the unit mechanism of this gripper is analyzed using the Screw theory to show how it has a bistate feature. And using the same origami‐structural unit, additional foldable polyhedral structures with the same folding modes are also introduced.