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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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DGConv: A Novel Convolutional Neural Network Approach for Weld Seam Depth Image Detection

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Computers, Materials & Continua 2024年第2期78卷 1755-1771页

作者： Pengchao Li Fang Xu Jintao Wang Haibing Guo Mingmin Liu Zhenjun Du State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China University of Chinese Academy of Sciences Beijing100049China Shenyang SIASUN Robot&Automation Co. Ltd.Shenyang110168China

We propose a novel image segmentation algorithm to tackle the challenge of limited recognition and segmentation performance in identifying welding seam images during robotic intelligent ***,to enhance the capability of deep neural networks in extracting geometric attributes from depth images,we developed a novel deep geometric convolution operator(DGConv).DGConv is utilized to construct a deep local geometric feature extraction module,facilitating a more comprehensive exploration of the intrinsic geometric information within depth ***,we integrate the newly proposed deep geometric feature module with the Fully Convolutional Network(FCN8)to establish a high-performance deep neural network algorithm tailored for depth image ***,we enhance the FCN8 detection head by separating the segmentation and classification *** enhancement significantly boosts the network’s overall detection ***,for a comprehensive assessment of our proposed algorithm and its applicability in real-world industrial settings,we curated a line-scan image dataset featuring weld *** dataset,named the Standardized Linear Depth Profile(SLDP)dataset,was collected from actual industrial sites where autonomous robots are in ***,we conducted experiments utilizing the SLDP dataset,achieving an average accuracy of 92.7%.Our proposed approach exhibited a remarkable performance improvement over the prior method on the identical ***,we have successfully deployed the proposed algorithm in genuine industrial environments,fulfilling the prerequisites of unmanned robot operations.

关键词： Weld image detection deep learning semantic segmentation depth map geometric feature extraction

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Dynamic Analysis and Parametric Optimization of Telescopic Tubular Mast Applied on Solar Sail

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Chinese Journal of Mechanical Engineering 2023年第2期36卷 279-290页

作者： Chenyang Ji Jinguo Liu Chenchen Wu Pengyuan Zhao Keli Chen State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of ScienceShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China University of Chinese Academy of Sciences Beijing 100049China

Large-scale solar sails can provide power to spacecraft for deep space exploration.A new type of telescopic tubular mast(TTM)driven by a bistable carbon fiber-reinforced polymer tube was designed in this study to solve the problem of contact between the sail membrane and the spacecraft under light *** with the traditional TTM,it has a small size,light weight,high extension ratio,and simple *** anti-blossoming and self-unlocking structure of the proposed TTM was *** aimed to simplify the TTM with a complex structure into a beam model with equal linear mass density,and the simulation results showed good *** dynamic equation was derived based on the equivalent model,and the effects of different factors on the vibration characteristics of the TTM were *** performance parameters were optimized based on a multiobjective genetic algorithm,and prototype production and load experiments were *** results show that the advantages of the new TTM can complete the deployment of large-scale solar sails,which is valuable for future deep space exploration.

关键词： Telescopic tubular mast Solar sail Genetic algorithm Modal analysis Optimization

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Development of a cable-driven redundant space manipulator with large bending angle by combining quaternion joints and segmented coupled linkages mechanism

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Chinese Journal of Aeronautics 2023年第11期36卷 483-499页

作者： Taiwei YANG Jian HUANG Wenfu XU Ke SHAO Bin LIANG School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Department of Automation Tsinghua UniversityBeijing 100854China

A cable-driven redundant manipulator has significant potential in confined space applications, such as environmental exploration, equipment monitoring, or maintenance. A traditional design requires 3N driving motors/cables to supply 2N degrees of freedom(DOF) movement *** number of motors is 1.5 times that of the joints’ DOF, increasing the hardware cost and the complexity of the kinematics, dynamics, and control. This study develops a novel redundant space manipulator with decoupled cable-driven joints and segmented linkages. It is a 1680 mm continuum manipulator with eight DOF, consisting of four segmented linkages driven by eight motors/pairs of cables. Each segment has two equivalent DOF, which are realized by four quaternion joints synchronously driven by two linkage cables. The linkage cables of adjacent joints are symmetrically decoupled and offset at 180°. This design allows equal-angle movement of all the joints of each segment. Moreover, each decoupling driving mechanism is designed based on a pulley block composed of two fixed and movable pulleys. The two movable pulleys realize the opposite but equidistant motions of the two driving cables, i.e., pulling and loosening, assuring symmetrical movements of the two driving cables of each segment. Consequently, the equivalent 2N-DOF joints are driven only by 2N motors, significantly reducing the hardware cost and simplifying the mapping relationship between the motor angle/cable length and the joint angle. Furthermore, the bending range of each segment could reach 360°, which is three times that of a traditional design. Finally, a prototype has been developed and experimented with to verify the performance of the proposed mechanism and the corresponding algorithms.

关键词： Cable-driven Mechanism design Redundant manipulators Segmented linkages Kinematics

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Robotic Sensorized Gastroendoscopy with Wireless Single-Hand Control

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Current Directions in Biomedical Engineering 2022年第1期8卷 66-69页

作者： García, Gabriela Fischer, Nikola Marzi, Christian Mathis-Ullrich, Franziska Health Robotics and Automation Laboratory Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe 76131 Germany

The manipulation of flexible endoscopes is a procedure that requires great dexterity since it requires the synchronization and use of both hands in parallel. Imprecise handling during gastroendoscopy could harm the digestive tract. Our solution allows the physician to use only one hand to wirelessly control the forward, backward, and tip bending motion. The proposed system provides endoscopic vision and tactile impact force sensing at the tip to detect the force applied to tissue and thus avoid damage. We experimentally evaluate the handling of the robotic system in open space and inside a medical phantom. The results revealed a training effect with less time demand for task completion and reduction of average impact force after only 5 runs. The proposed system was successfully controlled using one hand and, together with the force information, could enhance the physician's experience during endoscopy. Future work will address axial control and an intensive user study with clinical experts. © 2022 by Walter de Gruyter Berlin/Boston.

关键词： robotics

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SGT-Net: A Transformer-Based Stratified Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

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Computers, Materials & Continua 2024年第6期79卷 4471-4489页

作者： Suyi Liu Jianning Chi Chengdong Wu Fang Xu Xiaosheng Yu Faculty of Robot Science and Engineering Northeastern UniversityShenyang110167China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China SIASUN Robot&Automation Co. Ltd.Shenyang110169China

In recent years,semantic segmentation on 3D point cloud data has attracted much *** 2D images where pixels distribute regularly in the image domain,3D point clouds in non-Euclidean space are irregular and inherently ***,it is very difficult to extract long-range contexts and effectively aggregate local features for semantic segmentation in 3D point cloud *** current methods either focus on local feature aggregation or long-range context dependency,but fail to directly establish a global-local feature extractor to complete the point cloud semantic segmentation *** this paper,we propose a Transformer-based stratified graph convolutional network(SGT-Net),which enlarges the effective receptive field and builds direct long-range ***,we first propose a novel dense-sparse sampling strategy that provides dense local vertices and sparse long-distance vertices for subsequent graph convolutional network(GCN).Secondly,we propose a multi-key self-attention mechanism based on the Transformer to further weight augmentation for crucial neighboring relationships and enlarge the effective receptive *** addition,to further improve the efficiency of the network,we propose a similarity measurement module to determine whether the neighborhood near the center point is *** demonstrate the validity and superiority of our method on the S3DIS and ShapeNet *** ablation experiments and segmentation visualization,we verify that the SGT model can improve the performance of the point cloud semantic segmentation.

关键词： 3D point cloud semantic segmentation long-range contexts global-local feature graph convolutional network dense-sparse sampling strategy

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Analysis of Rock-climbing Fish Swimming and Design of a Novel Wire-driven Propeller

Analysis of Rock-climbing Fish Swimming and Design of a Nove...

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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Qin, Hengshen Zhang, Chuang Tan, Wenjun Yang, Lianchao Wang, Ruiqian Zhang, Yiwei Liu, Lianqing State Key Laboratory of Robotics Shenyang Institute of Automation Institutes for Robotics and Intelligent Manufacturing China University of Chinese Academy of Sciences China State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China

ISBN: (纸本)9798350325706

The rock-climbing fish "glides"on the underwater wall at a maximum speed of 16 BL/s. Meanwhile, they are also sucker creatures that firmly attach themselves to the underwater wall under the impact of water currents. Previous studies have shown that the integration of suction-climbing functionality in these fish is mainly derived from the microstructure around the suction cups. In this paper, we found that the coordinated deformation of the full body of the rock-climbing fish has a positive effect on the motion of the suction-climbing mode by performing finite element method simulations of the airfoil of the rock-climbing fish in a fluid environment. We then present a novel single-motor-based design of a wire-driven robotic fish for bionic rock-climbing fish swimming, which is capable of realizing different propulsive states of the rock-climbing fish. Our findings provide support for the development of underwater suction-climbing robots based on the bionic rock-climbing fish design, encouraging further research in this area. © 2023 IEEE.

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An Untethered Bionic Soft Robotic Vehicle With Magnetic Actuation and Control for Multi-Scenario Applications

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IEEE robotics and automation Letters 2025年第6期10卷 5289-5296页

作者： Yang, Wenguang Qiao, Zezheng Gao, Zhizheng Yu, Haibo Yantai University School of Electromechanical and Automotive Engineering Yantai264005 China Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China

In this study, a bionic soft robotic vehicle is designed with overall dimensions of 22.7 mm in length and 22 mm in width and weighs just 1.69 g. The robotic vehicle can realize precise motion control through a rotating magnetic field generated by Helmholtz coils. In the rotating magnetic field environment, by changing the parameters of the input current waveform, the vehicle can perform a variety of modes of motion, such as forward, backward, steering, and more. Furthermore, the robotic vehicle exhibits excellent motion performance. It is capable of moving stably on a variety of surfaces, including glass, wooden board, frosted board, and sandy soil, and can even successfully climb over obstacles as high as 30°. In particular, it can climb over a 20° barrier at 11.87 mm/s when loaded with three times its own weight (5 g). At the functional level, the robotic vehicle showcases its capabilities in obstacle clearance, path planning, and detection, underscoring its potential for performing complex tasks. © 2016 IEEE.

关键词： Motion planning

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A Programmable Inchworm-Inspired Soft Robot Powered by a Rotating Magnetic Field

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Journal of Bionic Engineering 2023年第2期20卷 506-514页

作者： Honglin Shen Shuxiang Cai Zhen Wang Zheng Yuan Haibo Yu Wenguang Yang School of Electromechanical and Automotive Engineering Yantai UniversityYantai264005China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China

With the growing demand for miniaturized workspaces,the demand for microrobots has been increasing in robotics *** to traditional rigid robots,soft robots have better robustness and *** a flexible structure,soft robots can undergo large deformations and achieve a variety of motion *** are working to design and fabricate flexible robots based on biomimetic principles,using magnetic fields for cable-free *** this study,we propose an inchworm-shaped soft robot driven by a magnetic ***,a robot is designed and fabricated and force analysis is ***,factors affecting the soft robot’s motion speed are examined,including the spacing between the magnets and the strength and frequency of the magnetic *** this basis,the motion characteristics of the robot in different shapes are explored,and its motion modes such as climbing are experimentally *** results show that the motion of the robot can be controlled in a two-dimensional plane,and its movement speed can be controlled by adjusting the strength of the magnetic field and other *** proposed soft robot is expected to find extensive applications in various fields.

关键词： Soft robot Bio-inspired soft robot Magnetic actuation

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Direct Ink Writing Method of Fractal Wearable Flexible Sensor Based on Conductive Graphene/Polydimethylsiloxane Ink

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 18-26页

作者： CHEN Junling GAO Feiyang ZHANG Liming ZHENG Xiongfei State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China School of Mechanical Engineering Shenyang Ligong UniversityShenyang110159China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China

Flexible electronic technology has laid the foundation for complex human-computer interaction system,and has attracted great attention in the field of human motion detection and soft *** has received an extensive attention due to its excellent electrical conductivity;however,how to use it to fabricate wearable flexible sensors with complex structures remains *** this study,we studied the rheological behavior of graphene/polydimethylsiloxane ink and proposed an optimal graphene ratio,which makes the ink have an good printability and conductivity at the same ***,based on the theory of Peano fractal layout,we proposed a two-dimensional structure that can withstand multi-directional tension by replacing the traditional arris structure with the arc *** that,we manufactured circular arc fractal structure sensor by adjusting ink composition and printing structure through direct ink writing ***,we evaluated the detection performance and repeatability of the *** method provides a simple and effective solution for fabricating wearable flexible sensors and exhibits the potential to fabricate 3D complex flexible electronic devices.

关键词： direct ink writing conductive graphene ink wearable flexible sensor strain sensing fractal structure

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