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International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Dai, Shijie Wu, Zhengxing Tan, Min Yu, Junzhi School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China State Key Laboratory for Turbulence and Complex System Department of Advanced Manufacturing and Robotics BIC-ESAT College of Engineering Peking University Beijing100871 China

ISBN: (纸本)9789811966125

This paper investigates the formation control problem for a multi-robotic fish system and a distributed event-triggered-based formation control framework is proposed. The framework consists of a communication topology, a distributed formation control law, and a dynamic event-triggered communication mechanism. In particular, a position-based formation control law is presented to drive the multi-robotic fish system to an anticipated configuration based on local measurements while keeping pace with a moving target. Meanwhile, a dynamic event-triggered mechanism is utilized to measure importance of the interactive information and decide the communication timing. The proposed formation control method shows its merits to greatly reduce communication consumption with a limited loss of formation control performance. Finally, simulations with quantitative comparisons are presented to verify the effectiveness of the proposed framework. This formation control framework provides a solid foundation for future marine cooperative control of the multi-robotic fish system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Trajectory Planning for Minimizing Floating Pedestal Disturbance of Spatial Dual-Arm Robots

Trajectory Planning for Minimizing Floating Pedestal Disturb...

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第43届中国控制会议

作者： Hui Zhang Xiaozhong Zuo Wei Zhang Sheng Gao College of Electrical and Control Engineering Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of Sciences China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper addresses the trajectory planning problem of a spatial dual-arm robot and proposes a method to minimize the floating pedestal perturbation using a nonlinear planning *** joint angle of the dual-arm robot is the optimization variable,and the positioning accuracy of the end-effector and the pedestal disturbance are the optimization objective and constraints,respectively.A constrained multi-objective optimization problem is formulated,and the kinematic model of the robot is established by parameterizing the joint trajectory.A penalty factor and a collision detection mechanism are applied to ensure the safety of the planning process.A nonlinear planning method is used to solve the optimization problem and obtain the optimal joint trajectory of the dual-arm *** results demonstrate that the proposed method effectively reduces the base disturbance while ensuring the positioning accuracy of the end-effector.

关键词： trajectory planning space dual-arm robot multi-objective optimization fmincon

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On Networked Dynamical Systems with Heterogeneous Constraints:Equilibrium Points and Stability 41

On Networked Dynamical Systems with Heterogeneous Constraint...

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第41届中国控制会议

作者： Qichao Ma Jiahu Qin Yu Kang Huijun Gao Department of Automation University of Science and Technology of China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Institute of Advanced Technology University of Science and Technology of China Research Institute of Intelligent Control and Systems and the State Key Laboratory of Robotics and System Harbin Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we investigate multi-agent systems with heterogeneous constraints,which can represent the heuristic beliefs of the agents towards an issue or the physical constraints of the *** typical example is a group of interacting unmanned aerial vehicles in a complex environment with multiple physical *** a result of the heterogeneity of the constraints,an equilibrium point may not exist and is presumably to be a dissensus point when it *** investigate the existence of equilibrium points from the perspective of Kakutani's fixed point theory for a set-valued *** also prove the local/global stability of certain equilibrium ***,a special case that the constraints are homogeneous is taken into *** constrains are assumed to take interval forms with nonempty *** is proved that consensus can be achieved globally and asymptotically for this *** examples are designed to illustrate our theoretical findings.

关键词： Multi-agent systems heterogeneous constraints equilibrium point and its stability constrained consensus

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Experimental Study on the Improvement of Yaw Stability by Coordination Control between the Caudal Fin and Anal Fin

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Journal of Bionic Engineering 2022年第5期19卷 1261-1271页

作者： Jiang Ding Changzhen Zheng Chaocheng Song Qiyang Zuo Yaohui Xu Bingbing Dong Jiaxu Cui Kai He Fengran Xie College of Mechanical Engineering Guangxi UniversityNanning 530004China Guangxi Key Lab of Manufacturing System and Advanced Manufacturing Technology Nanning 530004China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Shenzhen Key Laboratory of Precision Engineering Shenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China College of Mechanical Automation Wuhan University of Science and TechnologyWuhan 430000China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen 518055China

Due to the unique locomotion,the head-shaking problem of biomimetic robotic fish inevitably occurs during rectilinear locomotion,which strongly hinders its practical *** this paper,we experimentally study this problem by proposing the method of coordination control between the caudal fin and anal ***,an untethered biomimetic robotic fish,equipped with an anal fin,a caudal fin and two pectoral fins,is developed as the experimental ***,a Central Pattern Generator(CPG)-based controller is used to coordinate the motions of the anal fin and caudal ***,extensive experiments are conducted to explore different combinations of the flapping frequencies,the flapping amplitudes,and the phase differences between the anal fin and caudal ***,through proper control of the anal fin,the amplitude of the yaw motion can be as small as 4.32°,which sees a 65%improvement compared to the scenario without anal fin,and a 57%improvement compared to that with a stationary anal *** paper provides a novel way to alleviate the head-shaking problem for biomimetic robotic fish,and first test this method on an untethered,freely swimming robotic platform,which can shed light on the development of underwater robotics.

关键词： Biomimetic robotic fish Anal fin Head-shaking Yaw stability

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Adaptive Gait Training of a Lower Limb Rehabilitation Robot Based on Human–Robot Interaction Force Measurement

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Cyborg and Bionic Systems 2024年第1期5卷 271-281页

作者： Fuyang Yu Yu Liu Zhengxing Wu Min Tan Junzhi Yu School of Artificial Intelligence University of Chinese Academy of SciencesBeijingChina The Key Laboratory of Cognition and Decision Intelligence for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Mechanical Engineering&Automation Northeastern UniversityShenyangChina State Key Laboratory for Turbulence and Complex System Department of Advanced Manufacturing and RoboticsBIC-ESATCollege of EngineeringPeking UniversityBeijingChina

The existing fixed gait lower limb rehabilitation robots perform a predetermined walking trajectory for patients,ignoring their residual muscle *** enhance patient participation and safety in training,this paper aims to develop a lower limb rehabilitation robot with adaptive gait training capability relying on human–robot interaction force ***,a novel lower limb rehabilitation robot system with several active and passive driven joints is developed,and 2 face-to-face mounted cantilever beam force sensors are employed to measure the human–robot interaction ***,a dynamic model of the rehabilitation training robot is constructed to estimate the driven forces of the human lower leg in a completely passive ***,based on the theoretical moment from the dynamics and the actual joint interaction force collected by the sensors,an adaptive gait adjustment method is proposed to achieve the goal of adapting to the wearer’s movement ***,interactive experiments are carried out to validate the effectiveness of the developed rehabilitation training robot *** proposed rehabilitation training robot system with adaptive gaits offers great potential for future highquality rehabilitation training,e.g.,improving participation and safety.

关键词： active passive driven joints lower limb rehabilitation robot human robot interaction adaptive gait training human robot interaction force measurementfirstlya force measurement lower limb rehabilitation robots

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GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks

GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in D...

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IEEE International Conference on Robotic Computing (IRC)

作者： Adarsh Sehga Nicholas Ward Hung Manh La Christos Papachristos Sushil Louis Advanced Robotics and Automation (ARA) Laboratory Department of Computer Science and Engineering University of Nevada Reno NV USA

ISBN: (纸本)9781665472616

Agents can base decisions made using reinforcement learning (RL) on a reward function. The selection of values for the learning algorithm parameters can, nevertheless, have a substantial impact on the overall learning process. In order to discover values for the learning parameters that are close to optimal, we extended our previously proposed genetic algorithm-based Deep Deterministic Policy Gradient and Hindsight Experience Replay approach (referred to as GA+DDPG+HER) in this study. On the robotic manipulation tasks of FetchReach, FetchSlide, FetchPush, FetchPick&Place, and DoorOpening, we applied the GA+DDPG+HER methodology. Our technique GA+DDPG+HER was also used in the AuboReach environment with a few adjustments. Our experimental analysis demonstrates that our method produces performance that is noticeably better and occurs faster than the original algorithm. We also offer proof that GA+DDPG+HER beat the current approaches. The final results support our assertion and offer sufficient proof that automating the parameter tuning procedure is crucial and does cut down learning time by as much as 57%.

关键词： Deep learning Reinforcement learning Task analysis Robots Tuning Genetic algorithms

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A Vision-Based Two-Stage Fruit Outer Diameter Detection Method

A Vision-Based Two-Stage Fruit Outer Diameter Detection Meth...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Hao, Yifei Yan, Shuaizheng Wu, Zhengxing He, Bingwei Li, Chenghua Yu, Junzhi Fuzhou University Department of Mechanical Engineering Fuzhou350108 China Institute of Automation Chinese Academy of Sciences Laboratory of Cognitive and Decision Intelligence for Complex Systems Beijing100190 China Institute of Automation Chinese Academy of Sciences Key Laboratory of Cognition and Decision Intelligence for Complex Systems Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Guangzhou Shenghui Cleaning Service Co. Ltd. Guangzhou511436 China BIC-ESAT College of Engineering Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics Beijing100871 China

ISBN: (纸本)9781665481090

Regarding the mobile monitoring system in agricultural automation, the outer diameter monitoring of greenhouse vegetables has significant implications for accurately regulating fruit growth and cultivation plans. In this paper, a novel vision-based two-stage outer diameter detection method is proposed, including the segmentation and outer diameter calculation of greenhouse tomato images. To address the issues of multiple tomatoes in a single image and the similarity in color between tomatoes and the background, a YOLOv8 network embedded with convolutional block attention module is constructed for detection and segmentation in the first stage. Additionally, to solve the problem of inaccurate outer diameter detection caused by different tomato poses and pedicles, a defined central axis method is proposed, which can adaptively filter out the maximum outer diameter candidates and calculate accurate values utilizing depth information in the world coordinate system. The backbone network is fine-tuned on the pre-trained YOLOv8 model with 1000 tomato images. Extensive measurement experiments, involving 215 tomatoes in 80 images, is conducted to validate the effectiveness of our proposed approach. Compared to the ground truth, we obtain a measurement error of 4.27 mm, the coefficient of determination value R2 is 0.9349. © 2024 IEEE.

关键词： Fruits

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An Attention-LSTM-based Fault Diagnosis Method for Satellite Attitude Control System

An Attention-LSTM-based Fault Diagnosis Method for Satellite...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Siyuan Ma Sheng Gao Xiaozhong Zuo Zhengyang Lv Chenyang Zou State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai China College of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This study proposes a fault diagnosis method based on attention-LSTM for the satellite attitude control system. First, the hidden correlation information between high-dimensional variables is exploited through the variable attention layer. Then, deep temporal features are extracted with using the LSTM network layer. Finally, the time attention layer is introduced to increase the weight of important temporal information, effectively avoiding the problem of being forgotten due to too long input sequence and too many deep temporal features. The identification accuracy of slow fault in satellite attitude control system can be improved. The method is validated using data from the satellite semi-physical simulation platform, which demonstrates the effectiveness of this method.

关键词： Fault diagnosis Analytical models Visualization Satellites Recurrent neural networks Correlation Attitude control

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Preliminary Design of Robotic System for Closing Incision by Rotating Bandage Method∗ 5

Preliminary Design of Robotic System for Closing Incision by...

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5th World Robot Conference Symposium on advanced robotics and automation, WRC SARA 2023

作者： Chen, Anqi Ma, Xudong Sun, Yixin Liu, Wenyong Wang, Junchen Li, Changsheng Hu, Yida David Su, Bai-Quan Beijing University of Posts and Telecommunications Medical Robotics Laboratory School of Automation Beijing100876 China Beihang University Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry Beijing Advanced Innovation Centre for Biomedical Engineering School of Biological Science and Medical Engineering Beijing100083 China Beihang University School of Mechanical Engineering and Automation Beijing100083 China Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China Brigham and Women's Hospital Harvard Medical School BostonMA02115 United States

ISBN: (纸本)9798350307320

Wound treatment is routine work in hospital and bandaging of wound happens numerous even in a hospital scale. However, manual bandaging is accompanied with potential infection and it is tedious and manpower-wasting besides. This paper proposed a customized bandaging mechatronic system for avoiding bacteria from hand contact. The design of the propose bandaging system is developed and the working procedure of the by the system is given step by step. To the best knowledge of the authors, the customized mechatronic system is the first bandaging robotic system for bandaging purpose. After loading a customize bandage package, the proposed system lays a solid foundation for automatous bandaging method without human intervention during bandaging. © 2023 IEEE.

关键词： Hospitals

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A novel robotic visual perception framework for underwater operation

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Frontiers of Information Technology & Electronic Engineering 2022年第11期23卷 1602-1619页

作者： Yue LU Xingyu CHEN Zhengxing WU Junzhi YU Li WEN State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Ytech Kuaishou TechnologyBeijing 100085China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China

Underwater robotic operation usually requires visual perception(e.g.,object detection and tracking),but underwater scenes have poor visual quality and represent a special domain which can affect the accuracy of visual *** addition,detection continuity and stability are important for robotic perception,but the commonly used static accuracy based evaluation(i.e.,average precision)is insufficient to reflect detector performance across *** response to these two problems,we present a design for a novel robotic visual perception ***,we generally investigate the relationship between a quality-diverse data domain and visual restoration in detection *** a result,although domain quality has an ignorable effect on within-domain detection accuracy,visual restoration is beneficial to detection in real sea scenarios by reducing the domain ***,non-reference assessments are proposed for detection continuity and stability based on object ***,online tracklet refinement is developed to improve the temporal performance of ***,combined with visual restoration,an accurate and stable underwater robotic visual perception framework is ***-overlap suppression is proposed to extend video object detection(VID)methods to a single-object tracking task,leading to the flexibility to switch between detection and *** experiments were conducted on the ImageNet VID dataset and real-world robotic tasks to verify the correctness of our analysis and the superiority of our proposed *** codes are available at https://***/yrqs/VisPerception.

关键词： Underwater operation Robotic perception Visual restoration Video object detection

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