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Cooperative output regulation of heterogeneous directed multi-agent systems:a fully distributed model-free reinforcement learning framework

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Science China(Information Sciences) 2025年第2期68卷 170-185页

作者： Xiongtao SHI Yanjie LI Chenglong DU Huiping LI Chaoyang CHEN Weihua GUI Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and AutomationHarbin Institute of Technology (Shenzhen) School of Automation Central South University School of Marine Science and Technology Northwestern Polytechnical University School of Information and Electrical Engineering Hunan University of Science and Technology

In this paper, the cooperative output regulation(COR) problem of a class of unknown heterogeneous multi-agent systems(MASs) with directed graphs is studied via a model-free reinforcement learning(RL) based fully distributed eventtriggered control(ETC) strategy. First, we consider the scenario that the exosystem is accessible globally to all agents, an internal model-based augmented algebraic Riccati equation(AARE) is constructed, and its solution is learned by the proposed model-free RL algorithm via online input-output data. Further, for the scenario that the exosystem is accessible only to its adjacent followers, the distributed observers are designed for each agent to get the state of the exosystem, and an internal modelbased fully distributed adaptive ETC protocol is then synthesized to construct the corresponding AARE, and the feedback gain matrix is learned in a model-free fashion. The model-free RL-based control protocol proposed in this paper can not only remove the prior knowledge of agents' dynamics, but also release the dependence on global information by the adaptive event-triggered mechanism(ETM) and the new graph-based Lyapunov function. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control scheme.

关键词： model-free reinforcement learning unknown heterogeneous multi-agent systems fully distributed event-triggered control directed graph

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Vision-based docking system for an aromatic-hydrocarbon-inspired reconfigurable robot

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Science China(Technological Sciences) 2024年第6期67卷 1798-1816页

作者： XING FangYi XU Cheng LIU JinGuo XUE ZhiHui State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China School of Automation and Electrical Engineering Shenyang Ligong UniversityShenyang110158China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China University of Chinese Academy of Sciences Beijing100049China

Aromatic hydrocarbons generally refer to compounds containing benzene *** types of isomers can be formed by replacing hydrogen atoms on the benzene *** this paper,an aromatic-hydrocarbon-inspired modular robot(AHIMR)is *** robot can be reassembled into different configurations suitable for various task requirements.A vision-based docking system is designed for the *** system primarily consists of two stages:a remote guidance stage and a precise docking *** the remote guidance stage,an object module is identified using an illumination adaptive target recognition algorithm,and then the active module moves to the docking area through communication with *** the precise docking stage,the active module calculates the relative pose with the object module using a perspective-n-point method and dynamically adjusts its posture to *** this process,a Kalman filter is used to reduce target occlusion and jitter *** addition,the docking system feasibility is verified via several simulation *** module docking accuracy is controlled within 0.01 m,which meets the reconfiguration task requirements of the *** the AHIMR submodule docking experiment,the active module accurately moves to the expected position with a docking success rate of 95%.

关键词： modular robot reconfiguration aromatic hydrocarbon autonomous docking visual identification

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Construction and manipulation of origami-inspired tubular structures with controlled mechanical buckling for collection and transportation of microspheres based on optically induced electrokinetics

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Science China(Technological Sciences) 2024年第9期67卷 2954-2964页

作者： YANG WenGuang WANG WenHao TENG XiangYu QIAO ZeZheng YU HaiBo School of Electromechanical and Automotive Engineering Yantai UniversityYantai 264005China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China

The development of microengineered hydrogels has opened up unlimited possibilities for designing complex structures at the microscale. In this study, we constructed an origami-inspired tubular structure with controlled mechanical buckling based on optically induced electrokinetics(OEK). By inducing a stress gradient in the thickness, a tubular structure can be formed from a poly(ethylene glycol) diacrylate(PEGDA) hydrogel film of various shapes that have been custom fabricated. To achieve an ideal three-dimensional(3D) structure, the amplitude of the tubular structure can be controlled by adjusting the aspect ratios or polymerization time. Furthermore, the tubular structure can be manipulated for the collection and transportation of *** summary, we provide an effective method for designing 3D structures at the micro-nano scale. This forming method holds great potential for achieving various functions in tissue engineering, drug packaging, and transportation in the future.

关键词： origami-inspired tubular structures optically induced electrokinetics microfabrication mechanical buckling

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Robust control of isopropyl benzene production process using H_(∞) loop shaping control scheme

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Journal of Control and Decision 2024年第1期11卷 153-163页

作者： Vinila Mundakkal Lakshmanan Aparna Kallingal Sreepriya Sreekumar Department of Chemical Engineering National Institute of Technology CalicutKozhikodeKeralaIndia Department of Robotics and Automation Adi Shankara Institute of Engineering and TechnologyKaladyIndia

This paper discusses robust control strategy for isopropyl benzene production process using the method of loop shaping H_(∞) *** cumene production process is a part of phenol plant in HOCL,Kochi.H_(∞) control of the propylene concentration is done *** H_(∞) controller is derived from the linearised model of the *** optimal H_(∞) controller is obtained by simplifying two algebraic Riccati *** proposed PID-like H_(∞) controller provides a single tuning parameter which makes the controller design more *** proposed controller has been compared with other robust controllers like H_(2) and *** H_(∞) controller is found to be superior in a wide frequency range and has a feature of low distortion and good regulating *** reactor model has been developed in COMSOL Multiphysics with the parameters obtained from HOCL plant,*** model extracted is reduced using model order reduction for the controller design.

关键词： Cumene reactor H_(∞)loop shaping model order reduction Riccati equation PID control stability robustness

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Trash Detection in Water Bodies Using Yolo With Explainable AI Insight 6

Trash Detection in Water Bodies Using Yolo With Explainable ...

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6th International Conference on robotics and automation in Industry, ICRAI 2024

作者： Rasheed, Shafaq Mirza, Amal Saeed, Muhammad Saad Yousaf, Muhammad Haroon University of Engineering and Technology Department of Computer Engineering Taxila Pakistan National Center of Robotics and Automation Swarm Robotics Lab Taxila Pakistan

ISBN: (纸本)9798350355703

Waste disposal into water bodies is a serious concern for environmental engineers, often resulting in urban flooding, soil degradation in agricultural areas, and freshwater pollution. Additionally, trash accumulation in water bodies threatens ma-rine life by introducing contaminants through storm drains, rivers, and other channels. Furthermore, the unique character-istics of underwater environments, including high noise levels, low visibility, and color variation, pose challenges for trash detection. Thus, addressing this issue is crucial for environmental sustainability. The work focuses on both floating and submerged trash in water bodies. Typically, the detection of trash on water bodies is impacted by environmental variability, diverse appearance, and background clutter. These conditions also make usual object detection techniques less effective. Deep learning methods have shown promise in handling challenging visual tasks, therefore researchers have turned to them to get over these challenges. In this work, we focus on applying different versions of YOLO to the problem of water trash detection. To assess these models' performance, we use four different datasets: Trash Flow rate Dataset, DeepTrash, FloW, and TrashICRA. Each dataset represents various trash types under different conditions such as underwater trash and floating trash. Our study attempts to identify the best method suitable for the detection of aquatic waste. Our results highlight the effectiveness of YOLO variants in identifying the presence of trash in water ecosystems. By leveraging Grad-CAM we gain insights into the interpretability and transparency of deep learning models thus enabling Explainable AI. This approach will also contribute to the understanding and trustworthiness of artificial systems deployed for trash detection applications by providing a transparent view of decision making process of deep learning models. © 2024 IEEE.

关键词： Storm sewers

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Recent Advancement in Bioabsorbable Metals and Their Alloys for Implant Application—a Review

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Journal of The Institution of Engineers (India): Series D 2024年 1-17页

作者： Kadam, K.S. Gadakh, V.S. Department of Mechanical Engineering Dr. Vithalrao Vikhe Patil College of Engineering Ahmednagar414111 India Department of Automation and Robotics Engineering Amrutvahini College of Engineering Sangamner Ahmednagar422608 India

The emergence of bioabsorbable implant materials has generated significant enthusiasm in medical and engineering research. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. Bioabsorbable implant materials have become popular in orthopaedic and dental surgery because they enhance tissue regeneration while minimizing foreign body responses. Using bioabsorbable implant materials can lessen the requirement for implant removal operations while also improving patient outcomes. Developing bioabsorbable implant materials is a fascinating field of study with the potential to transform medical implant technology. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. The novelty of the present review is that a roadmap for future research is outlined. Thus, the present review thoroughly analyses the latest discoveries in bioabsorbable materials, providing valuable insights that could improve implant technology and significantly transform medical treatments and patient care. © The Institution of Engineers (India) 2024.

关键词： Magnesium alloys

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A Comparative Review on Design and Development of automation System for Grading of Onion 1

A Comparative Review on Design and Development of Automation...

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1st International Conference on AIML-Applications for engineering and Technology, ICAET 2025

作者： Suryawanshi, Rahul Jagtap, Jayesh Shegokar, Dnyaneshwari Jaju, Siddhesh Chandan, N.M. Badadhe, Avinash M. JSPM's Rajarshi Shahu College of Engineering Department of Automation and Robotics Pune India

ISBN: (纸本)9798350355611

Grading of onion is important for the purpose of quality as well as market value, and it has, in the past, used traditional methods. Onion grading has thus been automated, which has been a focus of numerous researchers because of the rising need for quality produce. Thus, the findings highlighted in this work show the progress and current approaches and methodologies designed for the design and implementation of automation systems for grading onions. This work outlines various methods such as image processing, gas sensor technology, Near Infra-Red (NIR) spectroscopy, X-ray imaging, Laser Doppler Vibrometry (LDV), and some artificial intelligence approaches that have been used in improving onion sorting systems. In addition, it reveals the drawbacks of these technologies, such as the realization of high image processing, the availability of small data sets, and the stability of the sortation systems. Based on the findings of this review, some recommendations for future research are suggested, such as the integration of multi-sensor systems and the enhancement of the efficiency of the automated onion grading systems using different types of algorithms. © 2025 IEEE.

关键词： Laser Doppler velocimeters

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Smart Embedded Design for Android Application Based Control of Self Balancing Robot

Smart Embedded Design for Android Application Based Control ...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Shakthi Prakash, J. Tharun, E.M. Joseph, Arun Elango, V. Madhan, M. Santhosh, S. Robotics and Automation Easwari Engineering College Chennai India

ISBN: (纸本)9798350303452

Self balancing robot is considered to be an important development in the field of mobile robot platform. This paper presents the design of smart embedded system for controlling the direction and speed of stepper motor driving the self balanced robot. The control of speed and direction of stepper motor is very critical to ensure the stability of two-wheeled robot. The stability of two-wheeled robot is ensured by maintaining the upright walking position. The proposed smart embedded system is designed to perform sensing, control and actuation. The hardware and software co-design allows the control of self-balancing robot using an Android device. © 2023 IEEE.

关键词： Microcontrollers

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Effect of Tine Shaped Furrow Opener on Dry Soil Using Discrete Element Modelling

Effect of Tine Shaped Furrow Opener on Dry Soil Using Discre...

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2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Mohiz, Abdul Nasir, Fazal E. Shah, Kamran University of Engineering & Technology Department of Mechatronics Engineering Peshawar Pakistan Advanced Robotics & Automation Lab National Center of Robotics & Automation Peshawar Pakistan

ISBN: (纸本)9781665464727

Tillage of the soil is the most important consideration when it comes to the implementation of agricultural practices. Increases in crop yield has been achieved through a variety of agricultural practices thanks to the discoveries of various agricultural experts. The planting process is the one that has the greatest impact on the crop's overall health. The hull can be more precisely prepared for the seed-planting trench with the assistance of furrows. A variety of furrow openers are currently undergoing the implantation process. Studying dynamic systems that are discontinuous in nature can be done with the help of discrete element modelling. The simulation of a tine-shaped furrow opener using the EDEM package software was carried out for three different speeds. When the speed of an object increases, so does the force it exerts on it. Additionally, the length of an object has an effect on the force it exerts. Additionally, taken into consideration were the profiles that were generated in the soil. To carry out statistical validation of the results analysis of variation (ANOVA) was done. The results provided a basis for calculating a confidence level of 95%. For the furrow openers, it was suggested that a speed of 0.495 meters per second, which is equivalent to 1.76 kilometers per hour, be used. © 2023 IEEE.

关键词： Tillage

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Characterization and Mechanical Behaviour of Nano-Al2O3 Reinforced Polymer Composites

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Journal of The Institution of Engineers (India): Series D 2024年 1-12页

作者： Mahesh, K.S. Satheesh, J. Department of Robotics & amp Automation JSS Academy of Technical Education Bengaluru India Department of Mechanical Engineering SJB Institute of Technology Bengaluru India

This study presents an experimental investigation into the mechanical behaviour and characterisation of Nano-Al2O3 reinforced polymer composites, aiming to enhance the understanding of their structural performance. The incorporation of nanoscale Al2O3 particles into polymer matrices has gained attention for its potential to improve the mechanical properties of the resulting composites. In this research, 1 wt% Nano-Al2O3 was dispersed within a polymer matrix through a systematic fabrication process. The mechanical behaviour of the developed composites was evaluated through a comprehensive set of experiments, including compression testing, flexural testing, and impact testing. The results provided insights into the effects of Nano-Al2O3 content on the strength, stiffness, and impact resistance of the composites. Microstructural characterisation using techniques such as scanning electron microscopy and X-ray diffraction were employed to analyse the dispersion of nanoparticles and the resulting changes in the composite structure. The findings from this experimental investigation contribute to the current knowledge base on Nano-Al2O3 reinforced polymer composites and offer valuable information for optimising the fabrication process to achieve desired mechanical properties. © The Institution of Engineers (India) 2024.

关键词： Compression testing

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