In this paper, a three-axis 6-degree-of-freedom ship stabilization platform is proposed and a fuzzy adaptive proportional–integral–derivative (PID) controller is designed. Comparison with the PID controller shows that the regulation time of PID and fuzzy PID is 7 s and 3.5 s, respectively.  The fuzzy adaptive PID controller has high tracking accuracy and stability. Finally, the control user interface of the ship stabilization platform is designed based on Qt Creator.

Soft continuum manipulators show great promise in minimal invasive surgery (MIS) due to their excellent adaptability and contact safety. In our recent work,  a novel braided manipulator based on fibrous materials is developed which features a thin-walled structure and a linear actuation response, enhancing its suitability for surgical environments. This paper studies effects of design parameters on its kinematical behaviors, which can provide a foundation for an optimized skeleton design.

To address the problems relating to the low efficiency and high labor intensity of manual operation in transplanting potted flower plug seedlings, an automatic bowl-clamping-type transplanting mechanism with a planetary gear train based on incomplete non-circular gear transmission is proposed.The design of the mechanism combines forward parameter modification (guiding optimization design) and reverse design, providing a reference for solving practical problems in flower seedling transplanting.

The robot assisting the affected side for mirror trajectory tracking, due to unidirectional transmission of movement information, might result in excessive movement range on the affected side, potentially increasing the risk of secondary injury as the unaffected side cannot perceive the movement status of the affected side. Therefore, this paper proposes a force feedback mirror-assisted strategy based on adaptive impedance control.

An autonomous launch and recovery (LAR) system is essential for the deployment and retrieval of uncrewed surface vehicles (USVs). Traditional crane-like LAR systems are typically designed to handle only the deployment and recovery of a single USV. In this paper, we propose a novel crane-like LAR system for multiple USVs, which includes the mechanism design, control strategy, and experimental validation. This research provides a reliable and innovative solution for the LAR of multiple USVs.

The frame is a key component of a small electric vehicle. As the main load-bearing body, lightweight design of the frame can meet its strength and deformation requirements while avoiding resonance with road excitation, which can reduce vehicle costs while meeting performance requirements.

In this paper, the dynamic performance of large parabolic antenna support structures is thoroughly studied, a multi-component modular dynamic assembly method is proposed, and a module is established to solve the high-dimensional differential equations by modular coalescence and a recursive algorithm, which is of great reference value for this kind of expandable truss antenna with multiple identical sub-rings.

We establish a size optimization model of the Watt-II six-bar mechanism combined with the particle swarm algorithm and then complete the size optimization of the Watt-II six-bar mechanism. After analyzing the optimization effect, the results show that the mechanism after size optimization could effectively improve the output efficiency and capacity.

This study proposed an analytical model of a fixed-rotation constrained-arc segment. Based on this, a novel two-stage constant-torque bending hinge is designed, and an optimization study is carried out. Finally, the feasibility of the design scheme is verified by theoretical analysis, finite-element analysis, and experiments. The new bending hinge provides a proficient solution for the design of fixtures, joint rehabilitation devices, and human activity assistive devices.

The fuzzy proportional–integral–derivative controller optimized by the particle swarm optimization algorithm eliminates steady-state error, improves response speed, and enhances both system adaptability and disturbance resistance. This approach effectively addresses the inherent uncertainties and nonlinear variations in bolt tightening processes. The average deviation between the tightening torque and target torque measures 0.108 N m, achieving a control accuracy of 0.9%.