Aiming to address the problems of the large time delay and low compliance of the system caused by the slow speed of motion intention recognition based on the force signal, this paper integrates the force signal and the surface electromyography (sEMG) signal as the input of the elbow–wrist rehabilitation robot, thereby achieving a good balance between fast response and force compliance in the control system.

Modern supply chains must coordinate customer orders, factory choices, and delivery routes while conditions change quickly. This study developed a learning-based scheduling method that breaks the whole task into connected decisions and trains them step by step. Tests in simulated networks showed faster learning, shorter completion times, and better performance in unfamiliar settings. The results suggest a practical way to improve coordination in production and delivery systems.

This study proposes a novel dual-robot system controlled by a primary–secondary strategy for accurately aligning large, flexible aircraft parts in tight spaces. The primary robot ensures precise positioning, while the secondary robot actively senses and cancels out harmful internal forces, preventing part deformation. Our simulated results show that this method achieves high alignment accuracy and reduces internal forces by over 90.03 %, offering a safe and efficient automated solution for aircraft assembly.

We developed an origami-inspired robotic gripper to solve the challenge of capturing irregular space debris. The design combines compact foldability for launch with controlled, flexible bending to adapt to different shapes. We built and tested a prototype, showing it can accurately position itself, securely wrap around various objects, and hold payloads reliably. These results confirm the gripper’s effectiveness, offering a promising new solution for safe space debris capture.

Switch rails are essential to railway turnouts, but machining burrs can cause cracks, shorten service life, and affect safety. This study developed a robot-assisted milling method that adjusts tool motion and cutting force in real time along long, complex rail edges. Simulations and experiments showed reduced force fluctuations, improved force tracking, and good surface quality. The results support safer, more consistent, and automated switch rail deburring.

Although the optimal design of various marine equipment pieces has been widely studied, the optimization of an important device – the submarine cable tray – has long been neglected. To address this issue, this study specifically focused on the structural optimization design of large-scale (400 t class) submarine cable trays.

Surface roughness has the greatest impact on the erosion wear of the rotor blade, followed by the stator blade, with the least on the guide blade. As surface roughness increases, the maximum wear rate rises and the concentrated erosion wear area expands, while its location does not shift significantly. The results can provide a basis for the erosion wear assessment of compressor blades at different service stages.  

The error model of the 5-degree-of-freedom hybrid perfusion manipulator established by the product of exponentials formula is more comprehensive and effective. Compared with the traditional inverse kinematic method, the mean pose errors of the moving platform after kinematic calibration based on the product of the exponentials method are reduced by 89.04 % and 63.79 %, respectively. The proposed modeling method is applicable to error modeling and analysis of most parallel mechanisms. 

We studied how to locate damage in metal plates when only a few sensor measurements are available. Our method first combines the limited signals in a more reliable way and then sharpens the damage image with a guided learning step. Tests using laboratory measurements and supporting simulated data showed clearer images and more accurate locations. This could make structural inspection more reliable when data are scarce.

Helicopter engines often generate rapidly changing torque under different flight conditions, which can increase vibration in the transmission system and affect reliability. This study examines how these variations influence system behavior in typical scenarios. The results show that the rate of torque change, rather than its magnitude, plays a key role. Faster changes significantly amplify vibration in critical components, providing guidance for improving system safety and durability.

This study examines deep-sea gear lubrication challenges under extreme conditions, including high pressure, with a focus on EHL (elasto-hydrodynamic lubrication) theory and interface texturing advances. Critical gaps remain in multi-physics coupling and synergistic texture-coating interactions. The paper proposes a research roadmap integrating multi-scale modelling, surface engineering optimization, experimental validation, and industrial implementation to enable robust deep-sea transmission systems.

The rod-type stirred mill is the core equipment used in the grinding of potassium feldspar. However, the grinding process involves numerous parameters that influence performance, along with various evaluation metrics and prolonged single-cycle durations – collectively making it difficult to identify optimal operating conditions. This study investigates the effects of rotational speed, grinding media size, and bar spacing on milling performance. 

This paper proposes a novel 4-degree-of-freedom parallel mechanism. Its degrees of freedom are verified by screw theory. Inverse position, velocity, and acceleration models are established. The position workspace is obtained, and singular configurations are identified. The stiffness index distribution in the workspace is visualized. The inverse dynamic model is derived using the Lagrangian method. Kinematic and dynamic simulations in Adams verify the correctness of the theoretical model.

This work presents a robotic chain that can smoothly shift from flexible to rigid using air pressure. We developed a new method that applies pressure to compact internal fibers, allowing the chain to become significantly stiffer than previous designs. Through theoretical modeling and physical testing, we demonstrated reliable and wide-ranging stiffness control. This advancement enables the creation of machines that are both safe for interaction and capable of performing demanding tasks.

Farm robots currently struggle in scattered fields due to a lack of precise map data. To solve this, we created a system using satellite imagery and AI to automatically generate accurate field boundaries. Our tests showed 93 % accuracy across different regions. This technology serves as "digital eyes" for machinery, replacing slow manual inputs with automated data. It enables robots to navigate and harvest continuously in complex smallholder farms, unlocking the full potential of smart agriculture.

The reconfigurable external fixation based on the seven-link mechanism has configurations in multiple dimensions, multiple postures, and multiple fracture scenarios, enabling rapid and stable fixation of fractures in the femur, tibia, elbow joint, knee joint, and ankle joint. It has been verified that this external fixation has stable structure and reliable fixation and significantly shortens the operation time and can be used for temporary fracture fixation in emergency medical scenarios.

This study addresses the challenges of capturing failed spacecraft and uncooperative space debris. Based on bionic principles, we propose a multi‑segment serial–parallel spatial closed‑chain capture mechanism, which can extend, envelop, and fix targets with high stability. Simulations and prototype tests demonstrate that the design increases capture range and flexibility, providing a feasible solution for space debris removal and failed satellite recovery.

To create reliable tiny threads in tough titanium for aerospace parts, this research used advanced computer simulations. We found that friction generates most of the tool stress and intense localized heat, which explains rapid tool wear. These insights help design better tools and optimize machining settings, improving manufacturing efficiency and product durability for critical engineering applications.

In this paper, an improved texture ball-end milling cutter test platform for titanium alloy milling is established by combining the prefabricated powder-feeding laser cladding process and laser micro-texture preparation technology. The milling performance of a cemented carbide texture ball-end milling cutter before and after coating treatment was studied. The results show that the coating can synergistically improve the surface wear resistance and cutting performance of the tool.

This study improves tractor ride comfort by reducing vibrations that affect operators during field work. A new adjustable suspension system and control method were developed to respond to uneven terrain and engine motion in real time. Results show significant vibration reduction compared to existing methods. This approach can help reduce fatigue, improve safety, and enhance stability in agricultural machinery.

In a 5-degree-of-freedom human-seat suspension system, an improved adaptive fuzzy sliding-mode controller is developed for the simplified model, incorporating the dynamics model of the MRF (magnetorheological fluid) damper into the control framework. This controller successfully mitigates the "chatter" issue associated with sliding-mode control, and it achieves favorable control results for the semi-active seat suspension system by utilizing the output damping force of the MRF damper.

We present a faster and more efficient vision method for detecting objects in high-speed kart racing. We developed an approach to handle blurred images and limited computing power by simplifying the model, enhancing training with realistic motion effects, and carefully removing unnecessary components. Tests show that the method is more accurate, significantly smaller, and runs faster than existing solutions, making it suitable for real-time use on smartphones and other portable devices.