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.

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.

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.

A deformable wheel mechanism with a single-degree-of-freedom drive is proposed for improved obstacle crossing in emergency operations. Its kinematics and performance, including its stiffness and expansion ratio, are analyzed and verified through simulations. A lightweight, stable resin prototype enhances expansion and stiffness, showing high adaptability and effectiveness for special vehicle wheels.

The two-span three-support rotor is a typical structure of rotating machinery such as steam turbine units, compressor units, and water pumps. When the elevation of the sliding bearing changes, the misalignment excitation of the coupling and the stiffness damping of the bearing will change accordingly, which will affect the vibration characteristics of the rotor. This paper can provide theoretical guidance and data support for the structural design and fault diagnosis of the two-span three-support rotor.

In this work, firstly, a 3D model of a loading and unloading industrial robot was established. Then, kinematics and dynamics analyses were conducted. Subsequently, based on the results of the dynamics analysis, transient dynamics simulations were carried out to verify the strength and stiffness of the industrial robot, laying a solid foundation for subsequent optimization.

A special deformation prediction model for titanium alloy in thin wall machining is established and calibrated by micromilling experiments. The model has been successfully evaluated by micromilling experiments. It shows that the dimensional errors of the thin wall made of Ti-6Al-4V are significantly reduced after on-machine radial cutting depth compensations. The relative errors have been reduced from 16.5 % to 3.9 %.

The gear system with backlash is a strongly nonlinear system, and the widely used harmonic balance method cannot meet the requirements. Additionally, the quasi-periodic and unstable periodic motion analytical solutions may be derived, and the principle of chaos generation can be further explained. Therefore, the effect of the generalized harmonic balance method DTE (dynamic transmission error) on system bifurcation and stability is studied.

In this paper, kurtosis-based improved particle swarm optimization (IPSO) is proposed to optimize the number of penalty factors and decomposition levels in variational mode decomposition (VMD). A method for fusing time domain metrics with entropy features and extracting their streamline features by principal component analysis (PCA) is also proposed. Experimental data validation shows that the method not only reduces the training time of the classification model but also improves the classification accuracy.

In this paper, an obstacle avoidance grasping path planning method based on monocular vision is proposed. This approach achieves 99.50 % recognition accuracy in complex scenes, and the smoothness and motion efficiency of the optimized trajectory are improved by about 60 % and 10 %, respectively.