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Flexible electronics and micro/nanomanufacturing

National Science Open 2025年第2期4卷 4-6页

作者： Zhouping Yin Jinyou Shao State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Frontier Institute of Science and Technology (FIST) Xi'an Jiaotong University

Flexible electronics is an emerging technology, which breaks through the constraints of traditional rigid electronics, enabling electronic devices to adapt to various complex application scenarios. Meanwhile, a variety of functions including sensing, actuation and energy harvesting, promote flexible electronics to be widely used in healthcare, robotics, Internet of Things, and so on.

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Improving aircraft nose wheel steering stability based on control continuation method

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Science China(Technological Sciences) 2025年第3期68卷 258-277页

作者： Qiaozhi YIN Dexu KONG Jiawei WANG Hong NIE Xiaohui WEI National Key Laboratory of Helicopter Aeromechanics Nanjing210016China State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing210016China Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing210016China AVIC Nanjing Engineering Institute of Aircraft Systems Nanjing211106China

Aircraft steering instability during the taxiing process sometimes occurs resulting from the unstable bifurcation phenomena of the nonlinear steering dynamic system,which may lead to severe *** this study,the control parameter design of an aircraft nose wheel steering control system based on the control continuation method is proposed to reduce the number of unstable bifurcation points and enlarge the system stable region area in a certain parameter ***,the aircraft turning performance can be improved ***,a nonlinear aircraft rollout dynamic model is constructed,and the aircraft ground steering bifurcation characteristics are obtained under the open-loop steering control ***,the bifurcation performances under three closed-loop nose wheel steering controllers based on the feedback control method are compared,and the control parameter of the quadratic nonlinear controller with a better bifurcation control effect is selected as a second bifurcation parameter to analyze the directional system stability via two-parameter bifurcation ***,the influence of a crosswind on the aircraft ground steering bifurcation performance is studied for various control parameter ***,the control effects of a traditional proportional-integral-derivative(PID)nose wheel steering control law and the designed feedback controller are compared and ***,a semi-physical experiment of the aircraft nose wheel steering system is carried out,and different control parameter values are selected for test verification,which can further verify the control effect of the designed nonlinear feedback *** results indicate that the feedback control method is unable to vary the system bifurcation types,but appropriate control parameter design can effectively shrink the system instability region and even eliminate the unstable Hopf bifurcation points under some specific working conditions,improving the aircraft ground turning stability re

关键词： aircraft taxiing dynamics and stability nose wheel steering control system control continuation steering bifurcation characteristics quadratic feedback control

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Adaptive multi-segment pseudospectral sequential convex programming for satellite cluster reconfiguration trajectory optimization

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Advances in Space Research 2025年第8期75卷 6317-6341页

作者： Wang, Lixiang Ye, Dong Kong, Xianren Xiao, Yan Research Center of Satellite Technology Harbin Institute of Technology Harbin150001 China State Key Laboratory of Micro-Spacecraft Rapid Design and Intelligent Cluster Harbin Institute of Technology Harbin150001 China

This paper presents an adaptive pseudospectral sequential convex programming method aimed at enhancing computational efficiency and safety in large-scale satellite cluster reconfiguration trajectory optimization. First, a multi-segment pseudospectral discretization technique is combined with successive linearization to transform the nonconvex optimal control problem into a series of convex subproblems. Second, an adaptive segmentation strategy based on collision warnings divides the entire orbital transfer process into collision-warning and non-collision-warning phases, with varying grid densities applied. This strategy improves satellite safety without increasing the total number of discretization points. Third, a filtering strategy is introduced to accurately identify the collision avoidance objects and periods, eliminating a large number of inactive collision avoidance constraints. This reduces the complexity of the convex subproblems and alleviates the computational burden. Finally, numerical simulation results demonstrate that the proposed method outperforms the traditional sequential convex programming and GPOPS methods in terms of efficiency, accuracy, and safety in scenarios involving 2 to 100 satellites. For the 8-satellite case, the proposed method improves computational efficiency by 99% over GPOPS and 65% over trapezoidal discretization sequential convex programming. © 2025 COSPAR

关键词： Orbital transfer

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A trajectory-level robot skill learning method based on fuzzy systems

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Science China(Information Sciences) 2025年第5期68卷 38-52页

作者： Chao ZENG Zhen DENG Boyang TI Yongsheng GAO Department of Computer Science University of Liverpool School of Mechanical Engineering and Automation Fuzhou University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences State Key Laboratory of Robotics and System Harbin Institute of Technology

Learning from demonstration(LfD) allows for the effective transfer of human manipulation skills to a robot by building a model that represents these skills based on a limited number of demonstrated ***,a skilllearning model that can comprehensively satisfy multiple requirements,such as computational complexity,modeling accuracy,trajectory smoothness,and robustness,is still ***,this work aims to provide such a model by employing fuzzy ***,we introduce an LfD model named Takagi-Sugeno-Kang fuzzy system-based movement primitives(TSKFMPs),which exploits the advantages of the fuzzy theory for effective robotic imitation learning of human *** work formulates the TSK fuzzy system and gradient descent(GD) as imitation learning models,leveraging recent advancements in GD-based optimization for fuzzy *** study takes a two-step strategy.(ⅰ) The input-output relationships of the model are established using TSK fuzzy systems based on demonstration *** this way,the skill is encoded by the model parameter in the latent space.(ⅱ) GD is used to optimize the model parameter to increase the modeling accuracy and trajectory *** further explain how learned trajectories are adapted to new task scenarios through local *** conduct multiple tests using an open dataset to validate our method,and the results demonstrate performance comparable with those of other ***,we implement it in a real-world case study.

关键词： robot skill learning movement primitives TSK fuzzy systems gradient descent robotics

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PwP: Permutating with Probability for Efficient Group Selection in VR

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IEEE Transactions on Visualization and Computer Graphics 2025年第5期31卷 2384-2394页

作者： Wu, Jian Zhang, Weicheng Chen, Handong Lin, Wei Shi, Xuehuai Wang, Lili Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Nanjing University of Posts and Telecommunications China Peng Cheng Laboratory Shenzhen China

Group selection in virtual reality is an important means of multi-object selection, which allows users to quickly group multiple objects and can significantly improve the operation efficiency of multiple types of objects. In this paper, we propose a group selection method based on multiple rounds of probability permutation, in which the efficiency of group selection is substantially improved by making the object layout of the next round easier to be batch-selected through interactive selection, object grouping probability computation, and position rearrangement in each round of the selection process. We conducted ablation experiments to determine the algorithm coefficients and validate the effectiveness of the algorithm. In addition, an empirical user study was conducted to evaluate the ability of our method to significantly improve the efficiency of the group selection task in an immersive virtual reality environment. The reduced operations also indirectly reduce the user task load and improve usability. © 1995-2012 IEEE.

关键词： Virtual environments

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Fov-GS: Foveated 3D Gaussian Splatting for Dynamic Scenes

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IEEE Transactions on Visualization and Computer Graphics 2025年第5期31卷 2975-2985页

作者： Fan, Runze Wu, Jian Shi, Xuehuai Zhao, Lizhi Ma, Qixiang Wang, Lili Nanjing University of Posts and Telecommunications China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Peng Cheng Laboratory Shenzhen China

Rendering quality and performance greatly affect the user's immersion in VR experiences. 3D Gaussian Splatting-based methods can achieve photo-realistic rendering with speeds of over 100 fps in static scenes, but the speed drops below 10 fps in monocular dynamic scenes. Foveated rendering provides a possible solution to accelerate rendering without compromising visual perceptual quality. However, 3DGS and foveated rendering are not compatible. In this paper, we propose Fov-GS, a foveated 3D Gaussian splatting method for rendering dynamic scenes in real time. We introduce a 3D Gaussian forest representation that represents the scene as a forest. To construct the 3D Gaussian forest, we propose a 3D Gaussian forest initialization method based on dynamic-static separation. Subsequently, we propose a 3D Gaussian forest optimization method based on deformation field and Gaussian decomposition to optimize the forest and deformation field. To achieve real-time dynamic scene rendering, we present a 3D Gaussian forest rendering method based on HVS models. Experiments demonstrate that our method not only achieves higher rendering quality in the foveal and salient regions compared to the SOTA methods but also dramatically improves rendering performance, achieving up to 11.33X speedup. We also conducted a user study, and the results prove that the perceptual quality of our method has a high visual similarity with the ground truth. © 1995-2012 IEEE.

关键词： Digital elevation model

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YOPR: A Reliable Personnel Detection Method for Occluded Small-Scale Targets in Dock Environments

YOPR: A Reliable Personnel Detection Method for Occluded Sma...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Zhe, Kang Feng, Ma Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan430063 China State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan430063 China

ISBN: (纸本)9789819639649

To address the prevalent challenges of small target scales and occlusions encountered in port and ship operations scenarios, this work proposes the YOPR algorithm, which builds upon the YOLO framework. To tackle the aforementioned practical constraints, the following enhancements were introduced. Firstly, the feature extraction network was augmented with multiple ParNet Attention mechanisms. This improvement serves to optimize the deep convolutional layers’ capability to extract features from small-scale targets. Secondly, during the feature fusion process, the high-level convolutional outputs were replaced with those from shallower convolutions, enabling the retention of higher-resolution feature maps and thus more effective features for small targets. Evaluated on the self-constructed Person3100 dataset, the YOPR algorithm demonstrated satisfactory adaptability and robustness compared to other models, while meeting the real-time computational requirements of actual port monitoring systems. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Extraction

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Forming limit and failure behavior of fiber metal laminates under low-constraint conditions

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Chinese Journal of Aeronautics 2025年第1期38卷 638-653页

作者： Yao WANG Feng DING Yong LI Yunhua ZHANG Sifa ZHENG Libin ZHAO Ning HU School of Mechanical Engineering Hebei University of TechnologyTianjin 300401China Suzhou Automotive Research Institute(Xiangcheng) Tsinghua UniversitySuzhou 215134China State Key Laboratory of Reliability and Intelligence Electrical Equipment Hebei University of TechnologyTianjin 300130China School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Henan Benjie Technology Co. Ltd.Zhengzhou 450003China Key Laboratory of Advanced Intelligent Protective Equipment Technology Ministry of EducationTianjin 300401China Key Laboratory of Hebei Province on Scale-span Intelligent Equipment Technology Hebei University of TechnologyTianjin 300401China

Fiber Metal Laminates(FMLs),as high-performance composite materials,demonstrate exceptional potential in a wide range of applications,such as aeronautical and astronautical ***,the traditional cured FMLs possess complex interlayer stresses and low forming limits,restricting further promotion and application of ***-constraint FMLs exhibit a lower forming resistance and better formability due to no curing during the forming process;however,the formation mechanism and response are not *** paper presents the Forming Limit Diagram(FLD)of low-constraint GLARE(glass fiber reinforced aluminum laminates)based on the forming limit test,and compares it with the conventionally cured laminates to evaluate the differences in the forming *** addition,combined with the analysis of failure mechanism and micro-deformation mechanism of specimens,the influence of different temperatures(20–80℃)and forming states(width)on the deformation performance of laminates is further *** results reveal that the forming limit curve of low-constraint laminates shifts up with the increase of temperature,the forming limit initially increases with the increase of width,then followed by a gradual decrease,and the maximum principal strain of low-constraint laminates is increased by 29% at 80℃ compared to 20℃.The cured laminate has a principal strain range of 0–0.02,while the low-constraint laminates have a principal strain range of 0.03–*** with cured laminates,low-constraint laminates possess a higher forming limit due to the improvement in deformable degree between layers by resin flow and fiber slippage,which enhances their *** study is expected to serve as a reference for establishing forming limit criteria and optimizing forming schemes for low-constraint laminates.

关键词： Fiber Metal Laminates(FMLs) GLARE Low-constraint state Forming limit Failure mechanism

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Edge-Cloud Cooperation-Driven intelligent Sustainability Evaluation Strategy Based on IoT and CPS for Energy-Intensive Manufacturing Industries

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IEEE Internet of Things Journal 2025年第9期12卷 12287-12297页

作者： Ma, Shuaiyin Huang, Yuming Chen, Yanping Xiao, Qinge Xu, Jun Leng, Jiewu Xi’an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an Key Laboratory of Big Data and Intelligent Computing School of Computer Science and Technology Xi’an710121 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Xidian University Advanced Manufacturing Technology Innovation Center Guangzhou Institute of Technology Guangzhou510555 China Guangdong University of Technology Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangzhou510006 China

The advancement of the Industry 5.0 in information technology has led to increased interest in integrating edge-cloud cooperation with Internet of Things (IoT) and cyber-physical system (CPS) designs. This integration effectively reduces service delays and provides real-time analysis feedback to physical spaces, attracting attention from both academia and industry. These advanced technologies enhance production system intelligence, their alignment with circular economy principles for promoting sustainability has been overlooked. To address this gap, this article proposes an intelligent sustainability evaluation strategy driven by edge-cloud cooperation, IoT, and CPS. The proposed approach aims to enhance production sustainability and intelligence through circular economy perspectives. It introduces improved gray relation analysis and deep clustering network techniques to extract meaningful insights from diverse indicators within the evaluation system. By analyzing relationships between different equipment and workshops, it provides an analytical method that enhances production efficiency while reducing energy consumption and resource waste. To further validate the proposed method, an illustrative example using a partner company’s production data demonstrates its accuracy. © 2014 IEEE.

关键词： Circular economy

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Data-Driven Tracking Control of a Cushion Robot with Safe Autonomous Motion Considering Human-Machine Interaction Environment

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Journal of Dynamic systems, Measurement and Control 2025年第4期147卷 041003页

作者： Sun, Ping Shan, Rui Chang, Hongbin Wang, Shuoyu School of Artificial Intelligence Shenyang University of Technology Shenyang110870 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Department of Intelligent Mechanical Systems Engineering Kochi University of Technology Kochi7828502 Japan

This study proposes a data-driven safety controller with velocity constraints for a cushion robot. We constructed a mathematical description of the human-machine interaction environment by decomposing the generalized input force and coefficient matrix in the dynamic model. We established a new equivalent data model, which considered various human-machine interaction environments using a pseudo-Jacobian matrix. A stochastic configuration network (SCN) estimation method for variations in the human-machine interaction environment was proposed, with hidden layer nodes added at random. We designed a safe autonomous navigation path and proposed a data-driven control method that limited the actual velocity while stabilizing the tracking error system. In addition, the desired motion velocity of the robot was designed. This approach has the advantage of ensuring safety at a specified velocity. We also demonstrated and validated the effectiveness of the proposed data-driven algorithm using simulation-based comparative analysis and an experimental study. Copyright © 2024 by ASME.

关键词： Stochastic systems

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