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Semi-Autonomous Navigation Based on Local Semantic Map for Mobile Robot

Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 27-33页

作者： ZHAO Yanfei XIAO Peng WANG Jingchuan GUO Rui Department of Automation Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240China State Grid Intelligence Technology Co. Ltd.Jinan250013China

Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.

关键词： semi-autonomous navigation mobile robot semantic map voice interaction

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Decentralized Robust Energy Management of Multi-area Integrated Electricity-gas systems

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Journal of Modern Power systems and Clean Energy 2021年第6期9卷 1478-1489页

作者： Nan Jia Cheng Wang Wei Wei Tianshu Bi IEEE State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Department of Electrical Engineering Tsinghua University

This paper proposes a fast and decentralized solution methodology for the robust operation of multi-area integrated electricity-gas systems(M-IEGSs).A deterministic reformulation is obtained for the two-stage robust model by applying the linear decision rule based electrical reserve utilization scheme as well as regulating the distributed gas *** linear approximations are developed for the nonconvex Weymouth equation in the gas network to determine the gas flow *** penalty convex-concave procedure(P-CCP)is then adopted to refine a feasible local optimum for the nonconvex model with an acceleration *** decentralized decision-making is enabled by the alternating direction multipliers method(ADMM).The convergence as well as computation performance of the overall solution procedure can be guaranteed as only convex optimizations are *** results validate the effectiveness of the proposed methods as well as the benefits of the proposed convex programing based solution procedure.

关键词： Convex optimization decentralized robust optimization energy management linear approximation integrated electricity-gas system

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4D printing of direct-driven deformable wheel with multiple programmable configurations

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International Journal of Extreme Manufacturing 2025年第3期7卷 369-381页

作者： Huichun Tian Guanghao Chu Bin Zhou Dekai Zhou Jing Qiao Longqiu Li State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001People’s Republic of China Avic Shenyang Aircraft Corporation Shenyang 110850People’s Republic of China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001People’s Republic of China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhouHenan 450000People’s Republic of China

Conventional deformable wheel systems in robots and other mechatronic systems face significant challenges in achieving miniaturization,intelligence,and *** address these issues,we propose a novel integrated structural design method and four-dimensional printing strategy for deformable wheels capable of shaping among multiple programmable direct-driven deformation *** load-bearing capacity of the printed wheel is strengthened by employing deformed components in various locations and actuated ***,a novel analytical design method is presented to determine the structure,actuation,and deformation parameters of each component under complex coupled *** findings reveal that the designed wheel can transform into three different configurations,exhibiting desired deformations of 12.5%in the radial direction and 19.6%in the axial *** also demonstrates robust deformation behavior and structural stability under multi-directional *** integrating a terrain sensing system,the designed wheel exhibits highly adaptive deformation capabilities on various terrains,showing great potential for exploring complex environments.

关键词： 4D printing deformable wheel continuous fiber multifunctional structure system integration

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WSC-Trans: A CNN-Transformer Structure-Based 3D Multi-Structural Automatic Segmentation Model for Temporal Bone CT

WSC-Trans: A CNN-Transformer Structure-Based 3D Multi-Struct...

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2024 ieee International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Hua, Xin Ma, Jixin Yu, Hongjian Du, Zhijiang Zheng, Fanjun Zhang, Chen Lu, Qiaohui Zhao, Hui Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China The 6th Medical Center Chinese Pla General Hospital Senior Department of Otolaryngology Head and Neck Surgery Beijing China

ISBN: (纸本)9798350386226

Cochlear implantation is the most effective treatment for severe deafness, which requires accurate localization of temporal bone anatomy. Preoperative CT image segmentation is an essential technique to determine the location of relevant tissues in the temporal bone. However, manual segmentation is usually time-consuming and suffers from low accuracy due to the complex and small structures of these tissues in temporal bone CT. To address this issue, we proposed a CNN-Transformer structure-based 3D multi-structured model for the automatic segmentation of fine and complex tissues such as the cochlea, facial nerve, ossicles, vestibule and semicircular canal in the temporal bone CT. Our model adopts a new Transformer deformation structure, which effectively utilizes the spatial attention mechanism to capture feature dependencies, and uses the channel attention mechanism to fuse different channel semantic representations to improve segmentation accuracy. Extensive experiments on a private temporal bone CT dataset show that our model achieves higher DSS and JSS scores, and lower HD95 and ASSD scores for all targets compared with other existing segmentation methods, demonstrating its superior performance. © 2024 ieee.

关键词： Computerized tomography

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A Collision Avoidance Path Planning Method for 7-DOF Space Manipulator

A Collision Avoidance Path Planning Method for 7-DOF Space M...

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2023 ieee International Conference on robotics and Biomimetics, ROBIO 2023

作者： Han, Xu Yang, Guocai Jin, Minghe Wang, Qi Harbin Institute of Technology State Key Laboratory of Robotics and System Heilong Jiang Harbin China Military Representative Office of the Equipment Department of the Aerospace Systems Department Changchun China

ISBN: (纸本)9798350325706

This paper proposes a collision avoidance path planning approach for redundant robotic arms based on the RRT algorithm. The study focuses on a 7-DOF robotic arm with an SSRMS configuration. The method involves improved RRT-based path planning in configuration space (C-space) and collision detection in Cartesian space. The results of collision detection are employed to guide the path planning process. Emulating the SSRMS configuration robotic arm, a kinematic model is established. By enhancing the RRT algorithm with the following points: probabilistic sampling towards the target configuration, guided exploration near existing tree nodes, parent node reassignment for new nodes, and the adoption of a bidirectional searching tree, the randomness of sampling is reduced and the planning process is accelerated. By continuously mapping points on the surface of the arm to both the base coordinate system and the self-collision coordinate system, collision detection and self-collision detection are performed in the Cartesian space using a combination of surface equations and projection methods. Finally, a series of simulation experiments were conducted to analyze the impact of various parameters, different obstacles and different methods on the planning process. This validation confirmed the feasibility and effectiveness of the approach. © 2023 ieee.

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Improved Capon Estimator for High-Resolution DOA Estimation and Its Statistical Analysis

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ieee/CAA Journal of Automatica Sinica 2023年第8期10卷 1716-1729页

作者： Weiliang Zuo Jingmin Xin Changnong Liu Nanning Zheng Akira Sano IEEE the National Key Laboratory of Human-Machine Hybrid Augmented Intelligence the National Engineering Research Center for Visual Information and Applicationsand the Institute of Artificial Intelligence and RoboticsXi’an Jiaotong UniversityXi’an 710049China the Data Center China Construction BankBeijing 100033China the Department of System Design Engineering Keio UniversityYokohama 223-8522Japan

Despite some efforts and attempts have been made to improve the direction-of-arrival(DOA)estimation performance of the standard Capon beamformer(SCB)in array processing,rigorous statistical performance analyses of these modified Capon estimators are still *** paper studies an improved Capon estimator(ICE)for estimating the DOAs of multiple uncorrelated narrowband signals,where the higherorder inverse(sample)array covariance matrix is used in the Capon-like cost *** establishing the relationship between this nonparametric estimator and the parametric and classic subspace-based MUSIC(multiple signal classification),it is clarified that as long as the power order of the inverse covariance matrix is increased to reduce the influence of signal subspace components in the ICE,the estimation performance of the ICE becomes equivalent to that of the MUSIC regardless of the signal-to-noise ratio(SNR).Furthermore the statistical performance of the ICE is analyzed,and the large-sample mean-squared-error(MSE)expression of the estimated DOA is *** the effectiveness and the theoretical analysis of the ICE are substantiated through numerical examples,where the Cramer-Rao lower bound(CRB)is used to evaluate the validity of the derived asymptotic MSE expression.

关键词： Capon beamformer direction-of-arrival(DOA)estimation large-sample mean-squared-error(MSE) subspace-based methods uniform linear array

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MRI Super-Resolution via Hybrid Information Enhancement Network based on Multi-Attention and Adaptive Convolution

MRI Super-Resolution via Hybrid Information Enhancement Netw...

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2024 ieee International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Ma, Jixin Yu, Hongjian Du, Zhijiang Hua, Xin Li, Zibo Zhao, Hui Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China The 6th Medical Center Chinese Pla General Hospital Senior Department of Otolaryngology Head and Neck Surgery Beijing China

ISBN: (纸本)9798350386226

Deep learning-based super-resolution (SR) reconstruction is a critical approach which is used to generate high-resolution images from corresponding low-resolution images. However, the CNN-based methods are ineffective in capturing global information, whereas the Transformer-based methods have limited ability to model long-range dependencies caused by window self-attention. Besides, it is a challenging task to recover lost high-frequency information from downsampled images. In this paper, a Hybrid Information Enhanced Network (HIEN) is proposed for MRI super-resolution task. Specifically, we propose a Spatial-Channel Hybrid Attention (SCHA) to enhance specific semantics representation by combining spatial and channel self-attention together. To recover more high-frequency components, we propose a Dynamic High-Frequency Pass Filter (DHPF) to preserve high-frequency information adaptively in pixel-wise. The results of our extensive experiments indicate that HIEN outperforms other state-of-the-art methods. © 2024 ieee.

关键词： Image reconstruction

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Data-Driven Robust Model Predictive Control for Pose Tracking of Redundant Manipulators

Data-Driven Robust Model Predictive Control for Pose Trackin...

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ieee International Conference on robotics and Biomimetics

作者： Zhaoyang Chen Fenglei Ni Kang Min Hong Liu State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang Province China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

In this paper, we present a data-driven robust model predictive control (DD-RMPC) method for pose tracking of redundant manipulators. Firstly, a MPC-based trajectory tracking framework is established, in which the joint limits at three different levels (angle, velocity, and acceleration) are satisfied. Secondly, to deal with the system model's uncertainty, accelerate the error convergence speed, and reduce tracking errors, a novel data-driven RMPC is proposed, in which the system's input-output data are used to compensate for the conservatism of the system. Finally, the simulation results on a seven degrees of freedoms (DOFs) redundant manipulator show that DD-RMPC provides a faster error convergence rate and achieves smaller pose tracking errors than that of the comparison methods.

关键词： Jacobian matrices Uncertainty Trajectory tracking Simulation Biomimetics Predictive models Manipulators Data models Convergence Predictive control

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Piezoelectric inertial robot for operating in small pipelines based on stick-slip mechanism:modeling and experiment

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Frontiers of Mechanical Engineering 2022年第3期17卷 109-124页

作者： Jichun XING Chao NING Yingxiang LIU Ian HOWARD School of Mechanical Engineering Yanshan UniversityQinhuangdao066004China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150001China School of Civil and Mechanical Engineering Curtin UniversityPerth6001Australia

Small pipes exist in industrial and biomedical fields,and require microrobots with high operational precision and large load capacity to inspect or perform functional tasks.A piezoelectric inertial pipeline robot using a“stick-slip”mechanism was proposed to address this *** this study,the driving principle of the proposed robot was analyzed,and the strategy of the design scheme was presented.A dynamics model of the stick-slip system was established by combining the dynamics model of the driving foot system and the LuGre friction model,and the simulation analysis of the effect of system parameters on the operating trajectory was *** experimental system was established to examine the output characteristics of the proposed *** results show that the proposed pipeline robot with inertial stick-slip mechanism has a great load capacity of carrying 4.6 times(70 g)its own mass and high positioning *** speed of the pipeline robot can reach up to 3.5 mm/s(3 mm/s)in the forward(backward)direction,with a minimum step distance of 4µ*** potential application for fine operation in the pipe is exhibited by a demonstration of contactless transport.

关键词： pipeline robot piezoelectric inertial drive stick-slip large load capacity dynamics model small pipeline

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Active Complaint Control for Smooth and Quick Connector Assembly

Active Complaint Control for Smooth and Quick Connector Asse...

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2023 ieee International Conference on robotics and Biomimetics, ROBIO 2023

作者： Wu, Jun He, Yu Wang, He Wang, Qiyu Fan, Shaowei University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu611731 China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin150001 China

ISBN: (纸本)9798350325706

This paper presents an active complaint control for smooth and quick connector assembly. The application requirement of an end-effector with simultaneous connecters is firstly defined. Then, the hybrid impedance control provides the foundation for active search and passive assembly. After that, a resolution-variant Lissajous search is proposed for smooth motion and earlier connection. At last, simulations and experiments indicate that the proposed controller can guarantee smooth and quick search for connector assembly. © 2023 ieee.

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