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Recent advances in photopolymerization 3D printing of alumina-ceramic

Progress in Natural Science:Materials International 2025年第1期35卷 1-30页

作者： M.Irfan Hussain Min Xia XiaoNa Ren Zhen Shen Muhammad Jamil Changchun Ge Institute of Powder Metallurgy and Advanced Ceramics School of Material Science and Engineering University of Science and Technology Beijing State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics

Digital light processing(DLP) 3D printing has a huge potential for manufacturing intricate and customized ceramic parts with high precision and cost-effectiveness. Research in this field contributes to material innovation,opening the avenues for new process designs in both scientific and industrial sectors. However, the implementation of DLP 3D printing technology in ceramic research has not yet reached the maturity level as that in polymer and tissue engineering. Necessarily, a holistic in-depth literature reporting the successful integration of alumina ceramics within DLP 3D printing technology is urgently needed. This review, systematic examines recent progress in DLP technology, focusing on photopolymer resins that incorporate UV-sensitive monomers, photoinitiators, and dispersants, as well as their synergistic effects on achieving high-quality printing, desirable material properties, and enhanced performance. Further, the review discusses key factors including post-processing characteristics such as debinding and sintering, which influence microstructure, and defect formation including microcracks, porosity and voids. Finally, the challenges associated with printing and sintering are highlighted,aiming to identify focused focused development pathways and potential solution to optimize outcomes. This analysis clarifies existing challenges and also propsoes future applications for DLP technology in the aluminaceramic field.

关键词： Al2O3 ceramics Applications Digital light processing (DLP) Post-processing Resin

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Digital CEOs in Digital Enterprises:Automating,Augmenting,and Parallel in Metaverse/CPSS/TAOs

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 820-823页

作者： Juanjuan Li Rui Qin Sangtian Guan Xiao Xue Peng Zhu Fei-Yue Wang with State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the College of Intelligence and Computing Tianjin UniversityTianjin 300072China School of Economics and Management Nanjing University of Science and TechnologyNanjing 210094China the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

BIG models or foundation models are rapidly emerging as a key force in advancing intelligent societies[1]–[3]Their significance stems not only from their exceptional ability to process complex data and simulate advan... 详细信息

关键词： exceptional Auto advancing

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SADNet: Generating immersive virtual reality avatars by real-time monocular pose estimation

SADNet: Generating immersive virtual reality avatars by real...

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作者： Jiang, Ling Xiong, Yuan Wang, Qianqian Chen, Tong Wu, Wei Zhou, Zhong State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Zhongguancun Laboratory Beijing China

Generating immersive virtual reality avatars is a challenging task in VR/AR applications, which maps physical human body poses to avatars in virtual scenes for an immersive user experience. However, most existing work is time-consuming and limited by datasets, which does not satisfy immersive and real-time requirements of VR systems. In this paper, we aim to generate 3D real-time virtual reality avatars based on a monocular camera to solve these problems. Specifically, we first design a self-attention distillation network (SADNet) for effective human pose estimation, which is guided by a pre-trained teacher. Secondly, we propose a lightweight pose mapping method for human avatars that utilizes the camera model to map 2D poses to 3D avatar keypoints, generating real-time human avatars with pose consistency. Finally, we integrate our framework into a VR system, displaying generated 3D pose-driven avatars on Helmet-Mounted Display devices for an immersive user experience. We evaluate SADNet on two publicly available datasets. Experimental results show that SADNet achieves a state-of-the-art trade-off between speed and accuracy. In addition, we conducted a user experience study on the performance and immersion of virtual reality avatars. Results show that pose-driven 3D human avatars generated by our method are smooth and attractive. © 2024 John Wiley & Sons Ltd.

关键词： Distillation

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Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks

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Journal of Modern Power systems and Clean Energy 2023年第3期11卷 1014-1019页

作者： Yue Yang Yue Wang Wenchuan Wu School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009Chinaand he is also with the State Key Laboratory of Power SystemsDepartment of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Maanshan Power Supply Company Maanshan 243000China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Virtual power plants(VPPs)including distributed generation,energy storage,and elastic load are emerging in distribution *** VPPs can participate in electricity market as an aggregated entity and effective cost allocation mechanism among VPPs is a crucial *** paper focuses on allocating ex-post cost of VPPs incurred by deviation between actual power and ex-ante schedule in a two-settlement electricity *** obtain approximate quadratic formulation of ex-post deviation cost considering network loss and develop an analytical cost allocation algorithm based on cooperative game *** allocated cost is consistent with cost causation principle and provides VPPs with incentive for *** proposed allocation method and relevant theoretical result are evaluated and verified by numerical tests.

关键词： Renewable energy virtual power plant(VPP) cost allocation distribution network electricity market

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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance

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IEEE Transactions on Intelligent Transportation systems 2024年第5期25卷 4552-4564页

作者： Qu, Jingxiang Liu, Ryan Wen Zhao, Chenjie Guo, Yu Xu, Sendren Sheng-Dong Zhu, Fenghua Lv, Yisheng Wuhan University of Technology Hubei Key Laboratory of Inland Shipping Technology School of Navigation Wuhan430063 China State Key Laboratory of Maritime Technology and Safety Wuhan430063 China National Taiwan University of Science and Technology Graduate Institute of Automation and Control and the Advanced Manufacturing Research Center Taipei10617 Taiwan Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China

The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vessel is normally loaded or overloaded. The computer vision technique with an excellent price-to-performance ratio has become a popular medium to estimate vessel draft depth. However, the traditional estimation methods easily suffer from several limitations, such as sensitivity to low-quality images, high computational cost, etc. In this work, we propose a multi-task learning-enabled computational method (termed MTL-VDR) for generating highly reliable VDR. In particular, our MTL-VDR mainly consists of four components, i.e., draft mark detection, draft scale recognition, vessel/water segmentation, and final draft depth estimation. We first construct a benchmark dataset related to draft mark detection and employ a powerful and efficient convolutional neural network to accurately perform the detection task. The multi-task learning method is then proposed for simultaneous draft scale recognition and vessel/water segmentation. To obtain more robust VDR under complex conditions (e.g., damaged and stained scales, etc.), the accurate draft scales are generated by an automatic correction method, which is presented based on the spatial distribution rules of draft scales. Finally, an adaptive computational method is exploited to yield an accurate and robust draft depth. Extensive experiments have been implemented on the realistic dataset to compare our MTL-VDR with state-of-the-art methods. The results have demonstrated its superior performance in terms of accuracy, robustness, and efficiency. The computational speed exceeds 40 FPS, which satisfies the requirements of real-time maritime surveillance to guarantee vessel traffic safety. © 2000-2011 IEEE.

关键词： Real time systems

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Local Path Planning of Unmanned Surface Vehicle Based on Improved DWA Algorithm

Local Path Planning of Unmanned Surface Vehicle Based on Imp...

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International Conference on Guidance, Navigation and Control, ICGNC 2024

作者： Ji, Chenjia Zhang, Lanyong College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9789819622351

An improved dynamic window method is proposed to solve the obstacle avoidance problem of intelligent ships in offshore waters that cannot effectively avoid when encountering unknown dynamic obstacles. Firstly, an autonomous collision avoidance decision-making model was constructed to judge whether the unmanned boat had a collision hazard, and the encounter situation was reclassified. To ensure that the USV can safely pass through the moving obstacle vessel, a collision risk assessment function considering the velocity of dynamic obstacles is introduced. Moreover, a collision avoidance rule function is incorporated into the evaluation function of the collision avoidance algorithm to ensure that the USV adheres to collision avoidance regulations. Ultimately, the simulation results confirm that the enhanced dynamic window method can safely avoid collisions while adhering to collision avoidance rules. This paper proposes an effective solution for collision avoidance behavior of intelligent vessels in near shore waters when facing unknown dynamic obstacles, providing insightful recommendations for subsequent research in maritime sectors. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Unmanned surface vehicles

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A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV

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Chinese Journal of Aeronautics 2022年第1期35卷 19-30,I0001页

作者： Hangxuan HE Haibin DUAN State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China Peng Cheng Laboratory Shenzhen 518000China

In this *** Disturbance Rejection Control(ADRC)is utilized in the pitch control of a vertical take-off and landing fixed-wing Unmanned Aerial Vehicle(UAV)to address the problem of height fluctuation during the transition from hover to level *** the difficulty of parameter tuning of ADRC as well as the requirement of accuracy and rapidity of the controller,a Multi-Strategy Pigeon-Inspired Optimization(MSPIO)algorithm is *** Swarm Optimization(PSO),Genetic Algorithm(GA),the basic Pigeon-Inspired Optimization(PIO),and an improved PIO algorithm CMPIO are *** addition,the optimized ADRC control system is compared with the pure Proportional-Integral-Derivative(PID)control system and the non-optimized ADRC control *** effectiveness of the designed control strategy for forward transition is verified and the faster convergence speed and better exploitation ability of the proposed MSPIO algorithm are confirmed by simulation results.

关键词： Active Disturbance Rejection Control(ADRC) Pigeon-inspired optimization algorithm Transition mode Unmanned Aerial Vehicle(UAV) Vertical take-off and landing

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Electro-humidity responsive soft actuators based on cellulose nanofibers-nanocrystals for bioinspired applications

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Science China Technological Sciences 2025年

作者： Fan WANG Ruibin QI Yujiao WU Qinchuan LI Junhui ZHANG Sukho PARK School of Mechanical Engineering Zhejiang Sci-Tech University State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Multifunctional responsive actuators have garnered considerable attention for their potential applications in soft robots, wearable devices, smart displays, environmental sensing, and biomimetic systems. Herein, we present a multifunctional color-changing ionic soft actuator that integrates electrical actuation and humidity-induced color-changing functionalities,fabricated using carboxylated cellulose nanofibers, ionic liquids, polyvinyl alcohol, cellulose nanocrystals, and poly(ethylene glycol) diacrylate. The electro-humidity responsive actuator exhibited remarkable actuation performance, including a maximum tip displacement(10.2 mm), low driving voltage(as low as 1.0 V), high operational stability(95.2% reliability after 2000actuation cycles), broad working frequency range(0.2–3.0 Hz), and exceptional tolerance to humid environments(90% relative humidity). In addition, the actuator showcased reversible and integrated color-changing capabilities. These features enabled the design of innovative devices, such as biomimetic flowers and smart color-changing windows with tunable optical ***, this multifunctional actuator provides a promising platform for applications in soft robots, optical anti-counterfeiting systems, information storage materials, and intelligent home technologies.

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Magnetic-Field-Assisted LCD Stereolithography for Centipede-Inspired Magnetic Soft Robot

Magnetic-Field-Assisted LCD Stereolithography for Centipede-...

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IEEE International Conference on robotics and Biomimetics

作者： Jinrong Wang Ruixuan Li Yaoyuan Xu Shishi Li Xianghe Meng Hui Xie State key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

This paper presents a novel magnetic-field-assisted LCD stereolithography technique for fabricating centipede-inspired magnetic soft robots. Unlike previous DLP-based methods, our approach leverages Liquid Crystal Display (LCD) technology, offering a simpler optical path, comparable resolution, and cost-effectiveness. The method integrates LCD photo-polymerization with a permanent magnet orienting system possessing 5-DOF in motion, enabling precise control over the direction of magnetization patterns during manufacturing. We demonstrate the technique by designing and fabricating a biomimetic centipede robot with programmable deformation capabilities. Finite element analysis was used to simulate the robot's deformation behavior, which was subsequently validated through experimental locomotion tests. The fabricated robot exhibited complex deformation and efficient locomotion in response to external magnetic fields. This approach advances the creation of intricate magnetic arrangements for planar soft robots, potentially expanding their application in fields such as biomedicine and microfluidics. The proposed method provides a new pathway for manufacturing biologically inspired magnetic soft robots with complex programmable behaviors.

关键词： Temperature sensors Deformation Magnetization Soft robotics Liquid crystal displays Permanent magnets Stereolithography Finite element analysis Magnetic fields Soft magnetic materials

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Research on Robust Current Control Algorithm for Permanent Magnet Synchronous Motor Based on Extended state Observer 20

Research on Robust Current Control Algorithm for Permanent M...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Ding, Xiaofei Qi, Bin Zhang, Bowen Shahzad, Khuram Zhang, Songyuan Harbin Institute of Technology State Key Laboratory of Robotics and System 92 Xidazhi Street Harbin China

ISBN: (纸本)9798350320831

High-performance servo joints are the basis for quadruped robots to have excellent motion performance. The current loop is the innermost loop of the servo system, and its control effect on torque directly determines the control effect of the entire servo system. This paper proposes a robust current control algorithm for permanent magnet synchronous motors (PMSM) based on the extended state observer (ESO) to improve the performance of the current loop. Traditional predictive current control relies more on the accuracy of model parameters. This paper uses ESO to obtain unknown disturbances to reduce the dependence of control effects on model parameters. Simulation and experiments show that predictive current control has more excellent dynamic performance than PI control. After adding the ESO compensation link, the static error and oscillation of current caused by controller model parameter error are effectively eliminated, significantly reducing the dependence on model parameters and improving the robustness of the current loop in the servo system. © 2023 IEEE.

关键词： Error compensation

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