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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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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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Comprehensive Performance Optimization of a Novel Anthropomorphic Dexterous Hand

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IEEE robotics and Automation Letters 2025年第7期10卷 6816-6823页

作者： Ma, Yifan Shang, Weiwei Zhang, Fei Pang, Shunxiang Dai, Shuqing Yi, Zhengkun Li, Guotao Cong, Shuang University of Science and Technology of China Department of Automation Jinzhai Road 96 Hefei 230027 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen 518055 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing 100190 China

Grasp and in-hand manipulation of dexterous hands are essential for daily operational tasks. In this study, an optimized design method for a novel anthropomorphic dexterous hand is proposed, which improves the comprehensive performance of grasp and manipulability of the dexterous hand. The constraints of multi-fingered contact force and kinematics are established with full consideration of the applicability to the objects of different sizes and the shape characteristics of finger contact surface. The performance index of in-hand manipulation ability is proposed, and the optimization problem is constructed through the technique for order preference by similarity to ideal solution (TOPSIS) to achieve multi-objective optimization of precision grasp and in-hand manipulation. Finally, simulation and experiment verify the feasibility of our prototype and optimization method. The results show that the in-hand translation space and in-hand rotation range are increased by 20% and 8.5%, respectively. Our dexterous hand has excellent abilities of multi-fingered interaction and in-hand manipulation, which can perform 33 grasp gestures and two/three-fingered in-hand manipulation. This study provides a valuable reference for the design of dexterous hands with anthropomorphic functions. © 2016 IEEE.

关键词： design optimization Dexterous manipulation multifingered hands precision grasp

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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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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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Development of an Integrated Grapple Chain for a Simultaneous Three-Fingered End-Effector 16th

Development of an Integrated Grapple Chain for a Simultaneou...

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16th International Conference on Intelligent robotics and Applications, ICIRA 2023

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

ISBN: (纸本)9789819965007

This paper presents the development of an integrated grapple chain for a simultaneous three-fingered end-effector. The geometrical constraint with four stages is firstly defined. Then, a grapple finger is presented to fulfill the proposed four stages with an approximately straight line actuation. Then, the actuation chain of linkage is designed by modification, optimization and combination. At last, Simulation indicates that the grapple finger can conduct planar and linear motion, which contributed to restrain the target gradually. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： End effectors

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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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Target-driven Object Grasping Method for Mobile Manipulator in Clutter

Target-driven Object Grasping Method for Mobile Manipulator ...

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2022 IEEE International Conference on Unmanned systems, ICUS 2022

作者： Yu, Xinkai Gao, Yongzhuo Dong, Wei Li, Mingyang Liu, Huajian Wang, Chao Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

The demand for mobile manipulator in the military field is strong, but there is no product that can achieve autonomous grasping in a cluttered environment. In this paper, a target-driven grasp pose detection algorithm is proposed, which can be used to detect the grasp pose of a specified target object in a cluttered environment. After that, based on the lightweight requirements of the military, a mobile manipulator platform is built, and the forward and inverse kinematics model of the mobile manipulator is established. At the same time, a vehicle-arm coordination algorithm is designed to make the grasping efficiency higher. Finally, we use the mobile manipulator to perform autonomous grasping in a cluttered environment to verify the system functionality. © 2022 IEEE.

关键词： Manipulators

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