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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wu, Yihang Qu, Ziyao Chang, Xiaocong Hu, Zhijian Yang, Rongni Ma, Renjie Harbin Institute of Technology State Key Laboratory of Robotics and Systems Harbin China School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9798350331820

Microrobots can work in small, enclosed spaces and complete complex tasks. It has potential applications in the field of biomedical and life sciences. This paper focuses on investigating robust dynamic tracking for electromagnetic-actuated microrobot via sliding mode control. First, we generalize the planar motion to the case of spatial trajectory tracking and then establish the three-dimensional tracking error model of microrobot. Then, we deploy a novel sliding control strategy and ensure the stability of sliding mode dynamics, once the robotic state reaches the sliding surface and sustains there in the sequel. Finally, the numerical simulation is conducted, compared to the traditional proportion-integration-differentiation control strategy, to verify the effectiveness and advantages of our proposed control scheme. © 2023 IEEE.

关键词： Sliding mode control

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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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SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting

arXiv

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arXiv 2025年

作者： Yang, Linqi Zhao, Xiongwei Sun, Qihao Wang, Ke Chen, Ao Kang, Peng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150006 China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou450000 China Shenzhen518071 China Jianghuai Advance Technology Center Hefei230000 China

6-DoF pose estimation is a fundamental task in computer vision with wide-ranging applications in augmented reality and robotics. Existing single RGB-based methods often compromise accuracy due to their reliance on initial pose estimates and susceptibility to rotational ambiguity, while approaches requiring depth sensors or multi-view setups incur significant deployment costs. To address these limitations, we introduce SplatPose, a novel framework that synergizes 3D Gaussian Splatting (3DGS) with a dual-branch neural architecture to achieve high-precision pose estimation using only a single RGB image. Central to our approach is the Dual-Attention Ray Scoring Network (DARS-Net), which innovatively decouples positional and angular alignment through geometry-domain attention mechanisms, explicitly modeling directional dependencies to mitigate rotational ambiguity. Additionally, a coarse-to-fine optimization pipeline progressively refines pose estimates by aligning dense 2D features between query images and 3DGS-synthesized views, effectively correcting feature misalignment and depth errors from sparse ray sampling. Experiments on three benchmark datasets demonstrate that SplatPose achieves state-of-the-art 6-DoF pose estimation accuracy in single RGB settings, rivaling approaches that depend on depth or multi-view images. Copyright © 2025, The Authors. All rights reserved.

关键词： Gaussian distribution

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A Cross-Level Vibration Prediction Method of Ultrasonic Motor Stator Component Under Electron Radiation for Transmission Mechanism

SSRN

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SSRN 2024年

作者： Guo, Zhibin Yan, Jihong Cao, Liyong Chen, Huazhi State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin150001 China Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology Harbin150001 China

In deep space exploration, spacecrafts are exposed to electron radiation for a long mission period, which brings a more prominent effect on the performance of their moving components. However, the current experiment and numerical methods struggle to address the issue owing to accuracy and efficiency limitations, because such influences involve the multi-scale change from material properties to component characteristics. In this paper, the ultrasonic motor stator is selected as the typical component to investigate its vibration characteristics under electron radiation. A cross-level vibration prediction method based on the edge-based smoothed finite element method (ES-FEM) is proposed through constructing the cross-scale change of material property. The cross-scale degeneration model of material mechanical property is established by constructing the correlation between the degradation of molecular chains and mechanical property for exploring the material property. By introducing the gradient smoothing technique, the ES-FEM is developed to investigate the vibration characteristics considering the material property change, offering superior accuracy and efficiency. The experiments of 1.2MeV electron radiation under different electron fluence are carried out, which can be verified for the cross-level transmission of vibration. And the numerical examples also demonstrate that the present method can achieve higher accuracy and efficiency than the traditional ones, while aligning closely with experiment results. © 2024, The Authors. All rights reserved.

关键词： Numerical methods

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Human-Robot Collaborative Decision Method of Hexapod Robot Based on Prior Knowledge and Negotiation Strategy

SSRN

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SSRN 2024年

作者： You, Bo Chen, Xiaolei Li, Jiayu Ding, Liang Dong, Zheng The Key Laboratory of Intelligent Technology for Cutting and Manufacturing Ministry of Education Harbin University of Science and Technology Harbin150080 China The Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration Harbin University of Science and Technology Harbin150080 China The Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

Against the unstructured terrain environment, human drivers often rely on remote operating patterns to accomplish tasks with robots. With the gradual improvement in robot intelligence, a key problem that urgently requires attention is how to bridge cognitive and perceptual differences between human and robot in collaborative decision-making processes. Particularly effective resolution of differences in decision outcomes is crucial. Therefore, this paper utilizes the decision logic process and prior knowledge model of human drivers to form robot’s decision framework, narrowing the cognitive differences between human and robot. Besides, embedding the human-robot-environment features that affect the decision-making process as prior knowledge into the robot’s decision-making system can effectively reduce perceptual gaps. Under the same decision framework, a negotiation strategy is proposed for forming a unified decision outcome between human and robot by finding an optimal concession rate. This study utilizes a hexapod robot simulated driving platform to gather experimental data and develop prior knowledge for robots. It also leverages virtual reality equipment and visual augmentation technologies to establish a remote human-robot collaborative decision-making experimental system. The experimental results conducted in complex obstacle terrain demonstrate the effectiveness of adopting the negotiation strategy for human-robot collaborative decision-making. Compared with the individual human or robot decision, the human-robot collaborative decision method significantly enhances robot stability, reduces energy consumption, and minimizes collisions. © 2024, The Authors. All rights reserved.

关键词： Decision making

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Study on the Shock Resistance of Double-Layer Vibration Isolation system for Ship Power Equipment

Study on the Shock Resistance of Double-Layer Vibration Isol...

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China Instrument and Control Society (ACCIS), Academic Conference of

作者： Zhongyi Cheng Junning Cui Xinbin Zhang Yizhong Zhuang Bo Kang Yamin Zhao Center of Ultra-precision Optoelectronic Instrument Engineering Harbin Institute of Technology Harbin China Key Lab of Ultra-precision Intelligent Instrumentation Harbin Institute of Technology (Harbin Institute of Technology) Ministry of Industry and Information Technology Harbin China Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

Given the problem that the influences of different vibration isolation parameters on the dynamic characteristics of isolated equipment in the double-layer vibration isolation system of ship power equipment is still unclear, a double-layer vibration isolation model for ship power equipment is established to study the time-domain response characteristics of the isolated equipment under the action of a half-sine wave shock. The dimensionless differential equations of system motion are derived using dimensional analysis, and the numerical simulation based on the fourth-order Runge-Kutta method is used to analyze the influences of vibration isolation parameters on shock resistance performance of the system, which provides a theoretical basis for the shock resistance design of the double-layer vibration isolation system of ship power equipment and is of significant instruction to the practice.

关键词： Vibrations Resistance Damping Isolators Electric shock Numerical simulation Shock absorbers Numerical models Marine vehicles Time-domain analysis

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IMPROVING LATERAL SAFETY DISTANCE-BASED ON FEATURE DETECTION AND PRM FOR UNMANNED VEHICLE PATH PLANNING

IMPROVING LATERAL SAFETY DISTANCE-BASED ON FEATURE DETECTION...

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2022 International Conference on Computer, Artificial Intelligence, and Control Engineering, CAICE 2022

作者： Wang, Boqian Wang, Jianfeng Li, Wenxuan Liu, Yiqun Yang, Na Wang, Quanqing Yao, Xinyue School of Automotive Engineering Harbin Institute of Technology Shandong Weihai264209 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Weihai Guangtai Airport Equipment Co. Ltd. Weihai264200 China

ISBN: (纸本)9781510655942

Most of the existing path-planning algorithms do not consider lateral safe distance requirements in practical applications. Hence, in this study, a new path point selection algorithm is proposed for path planning. The algorithm first used the Harris and Line Segment Detector(LSD) algorithms to detect and obtain the corner and edge information of obstacles. A vertical line was provided to the edge of the surrounding obstacles along each corner successively. In this process, the narrow impassable area in the map was filtered and removed by setting a safety threshold, and the foot of the vertical coordinates were simultaneously obtained. The corresponding midpoint coordinates were solved by using the corner coordinates and the foot of the corresponding perpendicular coordinates. The midpoint coordinates were used as candidate points to generate path points. These candidate points are screened and relaxed using the Probabilistic Roadmaps(PRM) algorithm to obtain the series of path points required. Finally, the path was planned according to these path points and smoothed using the Quadratic polynomial interpolation method(QPMI). Through simulation experiments, the method proposed in this study can solve a unique path without randomness under given conditions, and the probability of a collision in practical applications was reduced. © 2022 SPIE.

关键词： Motion planning

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Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks with Tree Topologies

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2354-2369页

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Northwest A and F University College of Information Engineering Yangling712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

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Influences of the ambient humidity and temperature on the material removal and wear behaviors on the soft-brittle KDP optics lithographed by the AFM probes

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Wear 2025年 571卷

作者： Chen, Guang Cheng, Jian Zhao, Linjie Chen, Mingjun Ding, Wenyu Lei, Hongqin Liu, Qi State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Zhengzhou Research Institute Harbin Institute of Technology Zhengzhou450000 China Centre for Precision Manufacturing DMEM University of Strathclyde GlasgowG1 1XJ United Kingdom

KDP (K2HPO4) crystals possess excellent nonlinear electro-optical properties and are often employed as Pockels cells and frequency converters. Ink-free DPN (IF-DPN) provides a promising method to lithograph surface nano-patterns in KDP optics to improve their laser damage resistances. However, material removal and wear behaviors are greatly affected by humidity and temperature. In this work, theoretical analyses at atomic- and electronic-scales are performed based on molecular dynamics and ab initio to study lithography behaviors (indentation and scratching) for IF-DPN. Lithography experiments with different humidity and temperatures are also executed on KDP substrate, which align well with theoretical results. During indentation processes, surface materials are squeezed into substrate, leading to deep subsurface damages and significant material recoveries. While the scratching processes would cause intense surface material stripping, and sharp-edge of AFM probe facilitates this process. Numerous K-related chemical structure defects would emerge during the lithography processes, which is the predisposition of microstructure change inside KDP crystal. The binding processes of AFM probe, water, and KDP crystal are spontaneous exothermic reactions. Bonding reactions of Si-O, Si-H, and O-H covalent bonds would expedite the wear of AFM probe and KDP crystal. The humidity affects lithography behaviors mainly through chemical dissolution actions, reducing surface integrity and structural strength of KDP crystal and facilitating material stripping. The high humidity would intensify the hydroxylation reaction occurring on AFM probe and KDP crystal surfaces, enhancing their hydrophilicity. The high temperature would result in a reduction of the condensed water meniscus and adsorbed water film, weakening chemical actions of IF-DPN. But it is beneficial for the penetration of AFM probe into KDP crystal surface, material stripping, and minimization of subsurface damages. The hig

关键词： Molecular dynamics

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S2H-GNN: Learning Soft to Hard Feature Matching with Sparsified Graph Neural Network

S2H-GNN: Learning Soft to Hard Feature Matching with Sparsif...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Tao Xie Ruifeng Li Zhiqiang Jiang Kun Dai Ke Wang Lijun Zhao Shuozhan Li State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology Quanzhou China

In this work, we introduce a soft-to-hard network (S2H-GNN) for precise local feature matching between image pairs. The core of S2H-GNN is a weighted context aggregation algorithm that enables nodes to receive information from their neighbors in order to form a more global understanding. S2HGNN leverages a sparsified graph neural network to enhance the features, consisting of the following modules alternately: (1) Inducing Point Initial Module that uses cosine correlation to identify highly scored keypoints as Inducing points. (2) Message Passing Module that integrates the features of original keypoints into those of Inducing points, which are further leveraged to exchange messages through self attention and cross attention. (3) Attention Upsample Module that propagates the feature of Inducing points to that of original keypoints, obtaining discriminative feature representation. Additionally, we propose an assignment layer to obtain a soft assignment matrix, which views feature matching as a graphy matching problem. Finally, we introduce a novel gap loss to guide S2H-GNN in learning a discriminative cognition of matching and non-matching keypoints, ultimately obtaining the hard assignment matrix. Experimental results demonstrate that S2H-GNN achieves comparable or higher performance in image matching and homography estimation tasks.

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