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Robot Navigation Strategy in Complex Environment Based on Episode Cognition

Journal of Bionic Engineering 2023年第1期20卷 1-15页

作者： Jinsheng Yuan Wei Guo Zhiyuan Hou Fusheng Zha Mantian Li Lining Sun Pengfei Wang State Key Laboratory of Robotics and System Harbin Institute of Technology(HIT)Harbin150001China Shenzhen Academy of Aerospace Technology Shenzhen518057China School of Mechanical and Electrical Engineering Lanzhou University of TechnologyLanzhou730050China

The hippocampal formation of the brain contains a series of nerve cells related to environmental cognition and *** cells can integrate their moment information and external perceptual information and acquire episodic cognitive *** episodic cognition and memory,organisms can achieve autonomous navigation in complex *** paper mainly studies the strategy of robot episode navigation in complex *** exploring the environment,the robot obtains subjective environmental cognition and forms a cognition *** grid cells information contained in the cognitive map can obtain the direction and distance of the target through vector calculation,which can get a shortcut through the inexperienced *** synaptic connection of place cells in the cognitive map can be used as the topological relationship between episode *** the target-oriented vector navigation encounters obstacles,the obstacles can be realized by setting closer *** on the known obstacle information obtained from boundary cells in the cognitive map,topological paths can be divided into multi-segment vector navigation to avoid encountering *** paper combines vector and topological navigation to achieve goal-oriented and robust navigation capability in a complex environment.

关键词： Bionic intelligent.Grid cell-Hippocampus-Navigation strategy Episode cognition

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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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Vision Based Surface Defect Detection of Long-Distance and Steep-Slope FAST Cable

Vision Based Surface Defect Detection of Long-Distance and S...

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International Conference on Wireless Communications, Networking and Applications (WCNA 2022)

作者： Tong, Xin Zhang, Xuehe Liu, Gangfeng Li, Changle Zhao, Jie Harbin Institute of Technology Heilongjiang Harbin15000 China State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9789819939503

Aiming at problems of long-distance and steep-slope FAST (Five-hundred-meter Aperture Spherical radio Telescope) cable detection, a set of vision system and its processing method based YOLOX are proposed. This system overcomes many difficulties such as collecting high-altitude samples and complex background environment in FAST cable detection tasks, and It achieves the accurate positioning and classification of defects. Good detection effects have been achieved for multi-morphology, multi-scale, especially small defects. The defect detection system was validated on three defect data sets which could affect the normal use of the cable, and the accuracy is 91.7%. Thus the system and method can meet the efficiency and accuracy requirements of FAST cable detection, and it can also be practically applied to other various cables. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cables

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Thermal analysis of lubricated three-dimensional contact bodies considering interface roughness

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Frontiers of Mechanical Engineering 2022年第2期17卷 177-191页

作者： Jiqiang WU Liqin WANG Zhen LI Peng LIU Chuanwei ZHANG MIIT Key Laboratory of Aerospace Bearing Technology and Equipment Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150080China

Surface roughness and thermal action are of remarkable importance in the lubrication performance of mechanical components,especially in extreme ***,available studies mainly focus on the full-film lubrication conditions without considering temperature rise and real 3D surface roughness due to the complexity of surface topography and temperature ***,studies on the interfacial thermal behaviors of 3D rough surface lubricated contact in an extended range of working conditions remain *** this paper,a deterministic mixed thermal elastohydrodynamic lubrication model considering real 3D surface roughness and thermal effects is *** this model,pressure and temperature are coupled with each other,the computation of elastic deformation is accelerated through the discrete convolution and fast Fourier transform method,the temperature field is calculated with the column sweeping technique,and the semi-system method is introduced to improve convergence and numerical stability under severe *** model is validated by comparing its results with available published numerical and experimental *** thermal behaviors of the contact interface are studied in a wide range of working *** influences of surface roughness and thermal effect on lubrication performance are *** results show that the proposed model can be used as a powerful analysis tool for lubrication performance and temperature prediction in various heavy-load,high-speed lubricated components over a wide range of lubrication conditions.

关键词： thermal elastohydrodynamic lubrication surface roughness effect thermal effect temperature characteristics severe conditions

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Shape Memory Polymer Composite Booms with Applications in Reel-Type Solar Arrays

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Chinese Journal of Mechanical Engineering 2023年第3期36卷 326-338页

作者： Hong Xiao Sijie Wu Dongdong Xie Hongwei Guo Li Ma Yuxuan Wei Rongqiang Liu State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150006China Yinhe Hangtian Internet Technology Co. Ltd.Beijing 100192China China Academy of Space Technology Beijing 100098China

Solar arrays are the primary energy source for *** traditional rigid solar arrays improve power supply,the quality increases ***,it is difficult to satisfy the requirements of high-power and low-cost space *** this study,a shape-memory polymer composite(SMPC)boom was designed,fabricated,and characterized for flexible reel-type solar *** SMPC boom was fabricated from a smart material,a shape-memory polymer composite,whose mechanical properties were ***,a mathematical model of the bending stiffness of the SMPC boom was developed,and the bending and buckling behaviors of the boom were further analyzed using the ABAQUS *** SMPC boom was fabricated to demonstrate its shape memory characteristics,and the driving force of the booms with varying geometric parameters was *** also designed and manufactured a reel-type solar array based on an SMPC boom and verified its self-deployment *** results indicated that the SMPC boom can be used as a deployable unit to roll out flexible solar arrays.

关键词： Shape memory polymer composite Reel-type solar array Deployable boom Bending behavior

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Autonomous Formation Flight Control of Large-Sized Flapping-Wing Flying Robots Based on Leader–Follower Strategy

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Journal of Bionic Engineering 2023年第6期20卷 2542-2558页

作者： Hui Xu Yuanpeng Wang Erzhen Pan Wenfu Xu Dong Xue School of Mechanical Engineering and Automation Harbin Instwitute of TechnologyShenzhen518055China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150000China School of Aeronautics Northwestern Polytechnical UniversityXi’an710072China

Birds in nature exhibit excellent long-distance flight capabilities through formation flight,which could reduce energy consumption and improve flight *** by the biological habits of birds,this paper proposes an autonomous formation flight control method for Large-sized Flapping-Wing Flying Robots(LFWFRs),which can enhance their search range and flight ***,the kinematics model for LFWFRs is ***,an autonomous flight controller based on this model is designed,which has multiple flight control modes,including attitude stabilization,course keeping,hovering,and so ***,a formation flight control method is proposed based on the leader–follower strategy and periodic characteristics of flapping-wing *** up and down fluctuation of the fuselage of each LFWFR during wing flapping is considered in the control algorithm to keep the relative distance,which overcomes the trajectory divergence caused by sensor delay and fuselage ***,typical formation flight modes are realized,including straight formation,circular formation,and switching ***,the outdoor formation flight experiment is carried out,and the proposed autonomous formation flight control method is verified in real environment.

关键词： Bionic Large-sized flapping-wing flying robot HIT-Phoenix Periodic flight characteristics Formation flight Leader follower strategy

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Integral Real-time Locomotion Mode Recognition Based on GA-CNN for Lower Limb Exoskeleton

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Journal of Bionic Engineering 2022年第5期19卷 1359-1373页

作者： Jiaqi Wang Dongmei Wu Yongzhuo Gao Xinrui Wang Xiaoqi Li Guoqiang Xu Wei Dong State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Weapon Equipment Research Institute China South Industries Group CorporationBeijing 102202China

The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled system,which conducts natural and close cooperation with the human by recognizing human locomotion *** subject-specific training is the main challenge of the existing approaches,and most methods have the problem of insufficient *** paper proposes an integral subject-adaptive real-time Locomotion Mode Recognition(LMR)method based on GA-CNN for a lower limb exoskeleton *** LMR method is a combination of Convolutional Neural Networks(CNN)and Genetic Algorithm(GA)-based multi-sensor information *** improve network performance,the hyper-parameters are optimized by Bayesian *** exoskeleton prototype system with multi-type sensors and novel sensing-shoes is used to verify the proposed *** locomotion modes,which composed an integral locomotion system for the daily application of the exoskeleton,can be recognized by the proposed *** to a series of experiments,the recognizer shows strong comprehensive abilities including high accuracy,low delay,and sufficient adaption to different subjects.

关键词： Locomotion mode recognition Gait mode detection Lower limb exoskeleton Convolutional neural network Genetic algorithm Bionic design

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Mechanical Properties Inside Origami-Inspired Structures: An Overview

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Applied Mechanics Reviews 2025年第1期77卷 011001页

作者： Yan, Peng Huang, Hailin Meloni, Marco Li, Bing Cai, Jianguo Department of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518052 China Harbin Institute of Technology Shenzhen518052 China Key Laboratory of C & PC Structures of Ministry of Education National Prestress Engineering Research Center Southeast University Nanjing211189 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology Shenzhen518052 China Key University Laboratory of Mechanism Machine Theory and Intelligent Unmanned Systems of Guangdong Habin Institute of Technology Shenzhen518052 China

In recent decades, origami has transitioned from a traditional art form into a systematic field of scientific inquiry, characterized by attributes such as high foldability, lightweight frameworks, diverse deformation modes, and limited degrees-of-freedom. Despite the abundant literature on smart materials, actuation methods, design principles, and manufacturing techniques, comprehensive reviews focusing on the mechanical properties of origami-inspired structures are relatively rare and unsystematic. This review aims to fill this void by analyzing and summarizing the significant studies conducted on the mechanical properties of origami-inspired structures from 2013 to 2023. We begin with an overview that includes essential definitions of origami, classical origami patterns, and their associated tessellated or stacked structures. Following this, we delve into the principal dynamic modeling method for origami and conduct an in-depth analysis of the key mechanical properties of origami-inspired structures. These properties include tunable stiffness, bistability and multistability, metamechanical properties demonstrated by origami-based metamaterials, and bio-inspired mechanical properties. Finally, we conclude with a comprehensive summary that discusses the current challenges and future directions in the field of origami-inspired structures. Our review provides a thorough synthesis of both the mechanical properties and practical applications of origami-inspired structures, aiming to serve as a reference and stimulate further research. © 2025 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Degrees of freedom (mechanics)

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A Legged Small Celestial Body Landing Mechanism:Landing Simulation and Experimental Test

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Space(Science & Technology) 2023年第1期3卷 453-463页

作者： Zhijun Zhao Shuang Wu Jingdong Zhao Yaobing Wang Chuncheng Zhao Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System EngineeringBeijing 100094China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150006China Department of Aerospace Science and Technology Polytechnic University of MilanMilan 20133Italy

Landing mechanism tends to rebound and turn over,and the stability time is long when landing on the small celestial *** landing performance in different conditions is necessary to be evaluated to guide the ***,landing performance evaluation is realized by *** factors affecting the landing performance including cardan element damping,foot anchors,retro-rocket thrust,landing slope angle,and landing attitude are analyzed.A microgravity platform is built to test the landing mechanism,and the consistency between the simulation and the experiment is *** the basis of simulation and experiment,some landing suggestions are proposed to improve the landing performance.

关键词： thrust mechanism landing

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High accuracy target point classification through dark-field detection of large-aperture optics surface based on machine vision

High accuracy target point classification through dark-field...

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2024 Applied Optics and Photonics China: Optical Sensing, Imaging Technology, and Applications, AOPC 2024

作者： Zhou, Shicheng Yin, Zhaoyang Wang, Bei Zhao, Linjie Cheng, Jian Chen, Mingjun School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

Surface defects on optics seriously affect their service life in high-power laser system. To address this issue, repair technologies for large-aperture optics are extensively employed. However, the operation of high-power laser system generates a large number of optics requiring repair. Currently, microscopic inspection is widely used for target points classification due to its high accuracy, but it has limitations such as small field of view and low efficiency. Utilizing the OTSU algorithm and Convolutional Neural Networks (CNN), a dark-field classification model for optical surface target points has been developed. Upon conducting experiments with several network models, the ResNet model, a probability threshold of 0.998 were determined. In conclusion, the classification accuracy for defects was 99.18% and for contaminants was 90.34%. The outcomes show that target points on the surfaces of optics can be accurately classified using this method. © 2024 SPIE.

关键词： Machine vision

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