To solve the flutter identification problem in the machining process of thin-walled parts, an online monitoring method based on continuous wavelet transform (CWT) and convolutional neural network–vision transformer (CNN-ViT) is proposed. First, the CNN model is utilized to extract local features from the image obtained after CWT. Then, the self-attention mechanism of the ViT model is employed to capture the global features of the feature map, and, finally, the classification results are output.

This article presents novel rehabilitation training by combining virtual reality technology and a rehabilitation robot. The goal is to provide multiple-information feedback for activities of daily living training. The rehabilitation robot receives data from virtual scenes to provide force feedback, creating a sense of presence. This approach is expected to help patients in the later stages of a stroke to improve their muscle strength and regain their upper-limb motor function.

This paper presents a novel 6-degree-of-freedom (6-DOF) compliant parallel manipulator, designed with a 6-PSS configuration and leaf spring compliant joints, together with manufacture error identification techniques. These innovations enhance motion accuracy, range and dynamic performance. This manipulator holds promise for applications like optical guidance and chip packaging.

This paper focuses on vibration suppression and trajectory planning for a two-link flexible manipulator and proposes a novel control method that integrates a modified adaptive particle swarm optimization algorithm (MAPSO) with fuzzy proportional–derivative (PD) control to achieve effective trajectory tracking.

We developed an advanced control system to enhance the comfort of vehicle seats by reducing vibrations. This innovative system combines an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC) to effectively manage the magnetorheological (MR) damper. Our research showed significant improvements in reducing seat vibrations. Moreover, the system's performance has been demonstrated to exceed that of conventional controls.

This paper develops a 4SRRR quadruped wall-climbing robot for demanding on-site work in shipyards and steel-structure manufacturing. A dynamic analytical model is established, replacing Euler–Bernoulli beam elements with Timoshenko beam elements to analyze natural frequencies. Results show that with single-element rods, the error in the first three natural frequencies is under 3.5 %. These findings validate the model's accuracy and support real-world applications. 

A trajectory prediction model based on Transfomer has been proposed to address the issue of long-term prediction accuracy in complex traffic environments. Optimizing multi-head attention based on knowledge of the scene context and vehicle position generates interactions between maps and agents, as well as between agents themselves. Its effectiveness has been evaluated on the basis of the outdoor dataset, and higher precision was achieved.

During the construction of a power transmission line, the cross frame is required to protect the existing facilities under the line from a possible tension failure accident. Because of its light weight, low cost, and short construction period, the new type of flexible nylon rope mesh has recently been widely used. This paper introduces dynamic modeling and analysis methods for wire impact flexible cable networks and verifies the effectiveness of the methods through experiments.

This paper proposes a novel dual-tunnel soft pneumatic origami actuator to provide a large maximum shrinkage rate for reciprocating motion. A programmed design method is proposed based on the geometric parameter model and stiffness model of the actuator. In comparison to other actuators, this actuator weighs only 5 g, and the force-to-weight ratio is 600. The maximum shrinkage rate of the actuator is 61 %, increasing the potential for lightweight and compact devices.

This paper focuses on the PRC method for unknown Euler–Lagrange systems with actuator faults and any bounded initial value. The attitude adjustment mechanism of the self-designed spraying robot is equivalent to a two-joint cooperative robot system. The convergence speed was improved to be within 1s. By comparing with traditional control methods, the improvement in control accuracy and convergence speed has been verified.

The current closed-loop control of pneumatic systems relies on electronic sensors and controllers. In this work, we have developed an airflow-sensing device and applied it to a pneumatic gripping system. The gripper can automatically sense the distance to objects and achieve active grasping. Our research results provide new solutions for intelligent control of pneumatic systems, freeing them from dependence on electronic devices.

This paper presents a ring four-array rolling mechanism consisting of four anti-parallelogram mechanisms with revolute joints. The mechanism is connected by four anti-parallelograms in a looped configuration and has a not-totally-closed ring shape. The mechanism has planar and spherical patterns of locomotion: the planar pattern locomotion includes the parallelogram rolling gait and the anti-parallelogram tumbling gait and the spherical pattern locomotion includes the spherical rolling gait.

In this paper, a fusion of the improved particle swarm algorithm and proportional–integral–derivative control algorithm in path tracking is investigated to improve the accuracy and robustness of path tracking of automated guided trolleys in complex environments. A robot operating system is introduced to provide a modular solution for the automated guided trolley system, which simplifies the integration of system components and provides a framework for system upgrading and expansion.