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Geometric Programming for Nonlinear Satellite Buffer Networks With Time Delays under L_(1)-Gain Performance

IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 554-556页

作者： Yukang Cui Yihui Huang Michael V.Basin Zongze Wu College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Shenzhen University Shenzhen 518060China Peng Cheng Laboratory Shenzhen 518060China Robotics Institute Ningbo University of TechnologyNingbo 315211China Autonomous University of Nuevo Leon Nuevo Leon 66455Mexico

Dear Editor,This letter concerns the parameter tuning problem for nonlinear satellite buffer networks with communication delays, aiming to optimize their stability properties under L_(1)-gain. We first model the satellite buffer networks by a nonlinear time-delay positive system and propose a novel characterization under which the nonlinear system is asymptotically stable with a prescribed L_(1)-induced performance.

关键词： nonlinear system prescribed

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Design and Analysis of a Piezo-based Decoupled 3-DOF (XY?) Micropositioner with Large Workspace 26

Design and Analysis of a Piezo-based Decoupled 3-DOF (XY?) M...

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26th International Conference on Computer and Information Technology, ICCIT 2023

作者： Das, Tilok Kumar Shahrear, Rifat Shirinzadeh, Bijan Dept. of Mechanical Engineering Chattogram Bangladesh Monash University Robotics and Mechatronics Research Laboratory Dept. of Mechanical and Aerospace Engineering Melbourne Australia

ISBN: (纸本)9798350359015

This paper presents a piezo-based compliant planer 3-DOF micropositioning stage for decoupled large workspace of the platform. Three piezoelectric actuators inside three double-stairs bridge-type mechanisms were used to drive the output platform in XY? directions. A-3PPR type kinematic chain has been oriented parallelly in such a way to have a rotational symmetry about the centroid. Two different types of prismatic flexure joints with a passive rotary flexure joint were utilized in each kinematic chain. The proposed design focused on the redundancy of the cross-axis coupling effect from the other axes during directional movements. To evaluate the performance, Finite Element Analysis (FEA) has been conducted. The decoupled 3-DOF micropositioning stage is able to maintain the maximum parasitic motion of 0.05% and 1.95 % in the Y and ? directions of their respective directional working range. So, the effect of cross-coupling motion during directional movement can be presumed to be less in this case. Further, the FEA results show that the micropositioning stage has a large work envelope of ±271.1 µm × 235 µm × ± 6.0352 mrad. Moreover, the evaluation of the dynamic characteristics predicts that out-of-plane motion will be less likely to occur. Thus, the 3-DOF micropositioning stage can provide a unidirectional decoupled large range of motions. © 2023 IEEE.

关键词： Compliant mechanism Cross-coupling effect Decoupling Finite Element Analysis (FEA) Planer motion

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Upper limb exoskeleton for neurorehabilitation with control via brain-computer interface 6

Upper limb exoskeleton for neurorehabilitation with control ...

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6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

作者： Antipov, Vladimir Innopolis University Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia

ISBN: (数字)9781665461740

ISBN: (纸本)9781665461740

This paper describes the results of developing control methods for an active exoskeleton for rehabilitation of human upper limb motor activity. The experimental setup, real-time software implementation of the control system, and also the developed software environment for stimulation of the subject during the neurophysiological experiment are described. The research object of the above system is the processes of activation of brain areas in terms of analysis of bioelectrical electroencephalographic signals registered during a motor activity, suitable for use in the tasks of motor rehabilitation. The purpose of this work is to develop a hardware-software part of the experiment to study real-time algorithms for control of the upper limb exoskeleton for rehabilitation and education tasks using 'brain-computer' interfaces. © 2022 IEEE.

关键词： Brain computer interface

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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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New Approaches and Recent Applications of Tensegrity Structures

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Journal of Engineering Science and Technology Review 2023年第5期16卷 1-12页

作者： Guacheta-Alba, Juan C. Valencia-Castaneda, Angie J. Dutra, Max Suell Aviles, Oscar F. Mauledoux, Mauricio Robotics Laboratory Mechanical Engineering Department Universidade Federal do Rio de Janeiro Rio de Janeiro21941-914 Brazil Davinci Research Group Mechatronics Engineering Department Universidad Militar Nueva Granada Bogotá111071 Colombia

Tensegrity is composed of structures that are characterized by compressive elements (bars) and tension elements (cables) that work together to transmit and/or withstand forces in an efficient and balanced manner. Their kinetic analysis, design, and control are study topics with various methods still being explored. Furthermore, research and development have been conducted in different areas such as architecture, engineering, biomechanics and robotics, exploring lightweight and resilient tensegrity structures for more flexible and adaptable movements. Tensegrity is a structure increasingly used and studied in different areas, thanks to its ability to transmit forces efficiently and its versatility in the application of designs and solutions in different areas. So, this review presents initial definitions of this area, as well as recent methods and applications that have been developed and are the focus of study for future advances. © 2023 School of Science, IHU. All Rights Reserved.

关键词： Deployable structures Flexible mechanisms Structural analysis Tensegrity Topology

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Lower Limb Joint Torque Estimation via Bayesian Regularized Backpropagation Neural Networks 2

Lower Limb Joint Torque Estimation via Bayesian Regularized ...

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2nd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Narayan, Jyotindra Gritli, Hassène Dwivedy, Santosha K. Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India National Engineering School of Tunis Le Belvédère Tunis1002 Tunisia

ISBN: (纸本)9798350360523

Prior gait analysis has played a crucial role in assessing overall health and well-being, particularly in individuals of different age groups. Nevertheless, acquiring gait data has necessitated the in-person presence of participants, incurring potential expenses. We introduce a deep learning technique called Bayesian regularized backpropagation neural network (BR-BPNN) to estimate joint torques in lower-limb motion based on anthropometric data and joint movements. The study collects joint movement data from 40 healthy participants (25 males and 15 females) spanning ages 7 to 65, utilizing an established motion-capture system. The input data encompassed various parameters such as age, gender, total body mass, height, thigh length, calf length, ankle-foot length, thigh mass, calf mass, ankle mass, and joint angles for the hip, knee, and ankle. The output data included joint torques calculated for a simplified leg model using the inverse dynamics method derived from the Euler-Lagrangian principle. We presented the conceptual details of the proposed BR-BPNN model and contrast model named Levenberg-Marquardt-based BPNN (LM-BPNN). Performing a comparative analysis, the results revealed that the BR-BPNN model (Rtrain = 0.985, Rtest = 0.955) excelled in accurately estimating joint torques compared to the LM-BPNN model (Rtrain = 0.973, Rtest = 0.924). Furthermore, the BR-BPNN model is found to be effective by 87.19%, 77.87%, and 72.73% in estimating hip, knee, and ankle joint torques for a 51-year-old male subject from the testing dataset. © 2024 IEEE.

关键词： Neural network models

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Synchronous Control Method and Simulation Research of Multi-degree of Freedom Humanoid Space Manipulator 2

Synchronous Control Method and Simulation Research of Multi-...

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2nd International Conference on Service robotics, ICoSR 2023

作者： Yang, Tao Xu, Fang Du, Baosen Ni, Yongjian Yu, Chao Shi, Yan Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Beijing China Beijing Institute of Precision Mechatronics and Controls Laboratory of Aerospace Servo Actuation and Transmission China Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China

ISBN: (纸本)9798350304688

The high-precision multi-joint synchronous control problem of the 7 DOF humanoid manipulator is studied. The control system uses a distributed control architecture based on EtherCAT. synchronization error causes tracking error between the end trajectory of the manipulator with theoretical trajectory. In order to achieve the purpose of high-precision synchronous control of manipulators, the kinematics model of manipulators is analyzed, and the method of network distributed clock control mode based on EtherCAT is proposed. Firstly, according to the source of synchronous error of the manipulator, the distributed network clock is used to calibrate the controller master station and the servo slave station to reduce the sampling and control synchronization error of each joint, and then improve the real-time performance of the main station Linux operating system. The station position command synchronization error is calibrated. Finally, the semi-physical simulation system of the joint and manipulator controller in the ring is designed. The simulation experiment analysis of the humanoid manipulator in the joint space and Cartesian space is carried out. The results show that the clock is distributed based on the EtherCAT network. The multi-joint synchronization control method can realize high-precision position control of the humanoid manipulator. © 2023 IEEE.

关键词： Manipulators

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Representing Objects in Map Building Using A Semantic SLAM Scheme

Representing Objects in Map Building Using A Semantic SLAM S...

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2022 Chinese Automation Congress, CAC 2022

作者： Yang, Yu Wang, Di Zheng, Weiqi Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronics Engineering and Automation Shanghai China

ISBN: (纸本)9781665465335

In order to make the robot understand the scene better and the human-robot interaction more friendly, a lightweight semantic SLAM system is proposed in this paper. Our system uses a LIDAR combined with a camera to obtain object location in SLAM and determines object information such as category with a CNN-based object detector. The object identities are represented in the form of joint probability distributions that are updated by Bayes' theorem. The FPA algorithm is used to obtain parameter valuation with maximum posterior probability so as to determine the modeling feature parameters of objects on the map. The similarity between objects is measured with the Bhattacharyya coefficient to avoid duplicate modeling of identified objects in map updating. The proposed system is simulated in Gazebo and an effective scheme balancing accuracy and computation cost is obtained. Finally, experiments on a small indoor robot demonstrate the effectiveness of our method. © 2022 IEEE.

关键词： Semantics

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Experimental and numerical study of deposition mechanisms for cold spray additive manufacturing process

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Chinese Journal of Aeronautics 2022年第2期35卷 276-290页

作者： Tianyu YU Mingjun CHEN Zhuoru WU State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Department of Mechanical Engineering Iowa State UniversityAmes 50011USA

Cold spray is an attractive and rapidly developing process for additive manufacturing with high efficiency and precision,repairing and coating,especially in aircraft and aerospace *** spray additive manufacturing deposits micro-particles with large plastic deformation below their melting point,eliminating heat effect zone which could deteriorate the quality of repairing *** particle deposition in cold spray is a complex process which involves high strain rate,high contact pressure and high *** we develop,utilize and validate a thermomechanical model to provide a definitive way to predict deposition mechanics and surface deformation evolution for particle deposition process in cold spray additive *** a single particle and dual particles models were developed to investigate the contact interaction between particle/substrate and particle/*** combinations of particle/substrate materials(Cu/Cu,Al/Al,steel/steel,and nickel/nickel)and process parameters were considered in this *** experimental study was conducted to validate simulation results,providing useful information for understanding the limitations and challenges associated with cold spray additive *** framework provides insights into improving the quality and precision of stress/strain formation,particle interactions and particle deposition in cold spray additive manufacturing process.

关键词： Additive manufacturing Cold spray Finite element analysis Residual stresses Surface morphology

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Kirigami-inspired continuum soft arm with embedded sensing for non-destructive inspection and sorting

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Science China Materials 2025年第2期68卷 552-560页

作者： Jinsui Xu Boyi Xu Honghao Yue Yifan Lu Zheping Wang Zongquan Deng Fei Yang State Key Laboratory of Robotics and System School of Mechatronics EngineeringHarbin Institute of TechnologyHarbin 150001China Wu Xianming School of Intelligent Engineering South China University of TechnologyGuangzhou 510641China

The sensing capabilities of a soft arm are ofparamount importance to its overall performance as they allow precise control of the soft arm and enhance its interactionwith the surrounding environment. However, the actuationand sensing of a soft arm are not typically integrated into amonolithic structure, which would impede the arm’s movement and restrict its performance and application scope. Toaddress this limitation, this study proposes an innovativemethod for the integrated design of actuator structures andsensing. The proposed method combines the art of kirigamiwith soft robotics technology. In the proposed method, sensorsare embedded in the form of kirigami structures into actuatorsusing laser cutting technology, achieving seamless integrationwith a soft arm. Compared to the traditional amanogawakirigami and fractal-cut kirigami structures, the proposedmiddle-cut kirigami (MCK) structure does not buckle duringstretching and exhibits superior tensile performance. Based onthe MCK structure, an advanced interdigitated capacitivesensor with a high degree of linearity, which can significantlyoutperform traditional kirigami sensors, is developed. Theexperimental results validate the effectiveness of the proposedsoft arm design in actual logistics sorting tasks, demonstratingthat it is capable of accurately sorting objects based on sensorsignals. In addition, the results indicate that the developedcontinuum soft arm and its embedded kirigami sensors havegreat potential in the field of logistics automation *** work provides a promising solution for high-precisionclosed-loop feedback control and environmental interaction ofsoft arms.

关键词： kirigami embedded sensing continuous soft arm non-destructive inspection

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