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14th IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems, CYBER 2024

作者： Zhuo, Fanbo Tang, Fengzhen Shenyang Institute of Automation The State Key Laboratory of Robotics Shenyang China The Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China The University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798331506056

This paper presents an approach for optimizing frequency bands in motor imagery (MI) classification using Particle Swarm Optimization (PSO) combined with the Generalized learning Riemannian space quantization (GLRSQ) classifier. The proposed method leverages the class distance metric to assess the distribution of EEG signals in the Symmetric Positive Definite (SPD) manifold. Experimental results on the BCI IIa dataset demonstrate improved classification accuracy and Kappa values compared to baseline method. The study highlights the effectiveness of opti-mizing frequency bands on the Riemannian manifold for enhancing MI classification performance. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Research on Multi-sensor Fusion Localization of Wheel-Legged Robots in Dynamic Scenarios 7

Research on Multi-sensor Fusion Localization of Wheel-Legged...

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7th International Conference on Automation, Control and Robots, ICACR 2023

作者： Li, Xu Fu, Yili Cheng, Zuolun Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin150001 China Zhejiang Laboratory Intelligent Robot Research Center Hangzhou311100 China

ISBN: (纸本)9798350302882

With the rapid development of human beings in motion control and localization perception, intelligent mobile robots are widely used in various scenarios, such as industrial production, medical care, logistics and distribution. Among them, wheel-legged robots have both the high mobility of wheeled robots and the high adaptability of legged robots, which can not only move fast on platform terrain, but also adapt to rugged and complex ground with the multiple degrees of freedom of their legs. Wheel-legged robots face the following main problems in high-precision robust localization in multiple scenarios: there are a lot of dynamic factors in daily indoor and outdoor scenarios, such as vehicles, pedestrians, etc., which require specific processing of dynamic environment in the visual front-end part to improve the effect of visual factor constraints;as ground mobile robots, the localization framework of visual inertial fusion (VIO) will show scale degeneration phenomenon, resulting in long-distance localization accuracy decline. In addition, as a two wheeled inverted pendulum robot, the ground constraint form will undergo corresponding changes. Aiming at the above problems, this paper takes the hydraulic-driven wheel-legged robot as the object and proposes a multi-sensor fusion localization method in dynamic scenarios. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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FluidFM for single-cell biophysics

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Nano Research 2022年第2期15卷 773-786页

作者： Mi Li Lianqing Liu Tomaso Zambelli Laboratory of Biosensors and Bioelectronics Institute for Biomedical EngineeringETH ZurichZurich 8092Switzerland State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China

Fluidic force microscopy(FluidFM),which combines atomic force microscopy(AFM)with microchanneled cantilevers connected to a pressure controller,Is a technique allowing the realization of force-sensitive nanopipette under aqueous *** has unique advantages in simultaneous three-dimensional manipulations and mechanical measurements of biological specimens at the micro-/*** the past decade,FluidFM has shown its potential in biophysical assays particularly in the investigations at single-cell level,offering novel possibilities for discovering the underlying mechanisms guiding life ***,we review the utilization of FluidFM to address biomechanical and biophysical issues in the life ***,the fundamentals of FluidFM are ***,the applications of FluidFM for biophysics at single-cell level are surveyed from several facets,including single-cell manipulations,single-cell force spectroscopy,and single-cell ***,the challenges and perspectives for future progressions are provided.

关键词： atomic force microscopy fluidic force microscopy single-cell manipulation single-cell force spectroscopy single-cell electrophysiology

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Wheel's Slip Ratio and Sinkage Estimation for Planetary Rovers Moving on Deformable Terrain

Wheel's Slip Ratio and Sinkage Estimation for Planetary Rove...

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2021 International Conference on robotics Automation and Intelligent Control, ICRAIC 2021

作者： Yang, Huaiguang Ding, Liang Gao, Haibo Deng, Zongquan State Key Laboratory of Robotics and System Harbin Institute of Technology Heilongjiang Harbin150001 China

Planetary rover plays a significant role in the lunar and Mars exploration missions and wheel's move status such as sinkage and slip ratio are the critical Factor to estimate the moving ability of the Mars rover. A method is proposed to estimate wheel's sinkage and skid angle based on terramechanic model and estimate slip ratio based on rover's dynamic model using Extended Kalman Filter algorithm. The proposed method can avoid the errors caused by Visual Odometry and improves the estimation accuracy of rover state through the fusion with other sensors' data. The effectiveness of the estimation method for planetary rovers is verified by comparing with the results obtained from dynamic simulation of Mars rovers. © 2022 institute of Physics Publishing. All rights reserved.

关键词： Rovers

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A Locust-Inspired Energy Storage Joint for Variable Jumping Trajectory Control 16th

A Locust-Inspired Energy Storage Joint for Variable Jumping ...

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

作者： Yang, Yongzun Feng, Zhiyuan Jin, Cheng Tang, Lingqi Ma, Songsong Li, Yao School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518052 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology Shenzhen518052 China

ISBN: (纸本)9789819964949

Jumping is a good solution for small robots over obstacles. Most of the current jumping robots are not energy store adjustable due to the design of the energy storage elements and structures, which limits the effective working space of the robot. The locust is good at jumping. Thanks to the excellent structure of the hind legs, the locust can change the degree of compression of the simi-lunar process (SLP) and change the energy storage while maintaining the same jumping stance. Herein, we design a locust-inspired energy storage joint and verified its function on a jumping robot. The motors and wires were used to imitate the muscles and the torsion springs were used to imitate SLP. To accurately describe the energy stored, a static model of the torsion springs was developed. Furthermore, the number of motor revolutions and the stored energy value were also calculated and could be used for subsequent precise control. Six jumping experiments with different compression angles for torsion springs proved the feasibility of the static model. This locust-inspired energy storage joint is the basis for the next robot capable of the omnidirectional, continuous autonomous jumping. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Energy storage

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基于磁驱动正交悬臂探针的三维原子力显微镜技术开发

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Engineering 2023年第5期24卷 84-93,I0002页

作者： Hao Zhang Junyuan Geng Haibo Gao Weibin Rong Hui Xie The State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150080China

本文介绍了一种基于磁驱动正交悬臂探针(magnetically driven-orthogonal cantilever probes,MDOCP)的三维原子力显微镜(three-dimensional atomic force microscopy,3D-AFM)表征方法,该方法采用两个独立的三自由度纳米扫描器,能够实现探针沿可控矢量角度跟踪扫描样品表面。该3D-AFM系统还配备了高精度旋转台,可实现360°全向成像。定制的MD-OCP包含水平悬臂、垂直悬臂和磁球三部分,其中磁球可在磁场中机械驱动OCP实现激振。垂直悬臂具有一个突出的尖端,可检测深槽和具有悬垂/凹边特征的结构。首先,对MD-OCP的设计、模拟、制造和性能分析进行了描述;其次,详细介绍了探针振幅补偿和360°旋转原点定位的方法。通过使用标准AFM阶梯光栅进行对比实验,验证了所提出方法对于陡峭侧壁和拐角处细节的表征能力,其中采用了三维地形重建方法将图像整合。通过对具有微梳结构的微机电系统(MEMS)器件进行3D表征,进一步证实了所提出基于MD-OCP的3D-AFM技术的有效性。最后,该技术被用于确定微阵列芯片的关键尺寸(critical dimensions,CD)。实验结果表明,所提出的方法可以高精度地获取三维结构的CD信息,相比于难以获得侧壁信息的二维技术,在三维微纳制造检测领域具有更好的潜力。

关键词：图像整合微阵列芯片机械驱动阶梯光栅旋转台磁驱动三维结构

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Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization

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Frontiers of Information Technology & Electronic Engineering 2023年第1期24卷 104-116页

作者： Jiaqi WANG Yongzhuo GAO Dongmei WU Wei DONG State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150001China

As a wearable robot,an exoskeleton provides a direct transfer of mechanical power to assist or augment the wearer’s movement with an anthropomorphic *** an exoskeleton is used to facilitate the wearer’s movement,a motion generation process often plays an important role in high-level *** of the main challenges in this area is to generate in real time a reference trajectory that is parallel with human intention and can adapt to different *** this paper,we first describe a novel motion modeling method based on probabilistic movement primitive(ProMP)for a lower limb exoskeleton,which is a new and powerful representative tool for generating motion *** adapt the trajectory to different situations when the exoskeleton is used by different wearers,we propose a novel motion learning scheme based on black-box optimization(BBO)PIBB combined with *** motion model is first learned by ProMP offline,which can generate reference trajectories for use by exoskeleton controllers *** is adopted to learn and update the model for online trajectory generation,which provides the capability of adaptation of the system and eliminates the effects of *** and experiments involving six subjects using the lower limb exoskeleton HEXO demonstrate the effectiveness of the proposed methods.

关键词： Lower limb exoskeleton Human-robot interaction Motion learning Trajectory generation Movement primitive Black-box optimization

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Hydrodynamics study of dolphin’s self-yaw motion realized by spanwise flexibility of caudal fin

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Journal of Ocean Engineering and Science 2022年第3期7卷 213-224页

作者： Zhihan Li Dan Xia Jiabo Cao Weishan Chen Xingsong Wang School of Mechanical Engineering Southeast UniversityNanjingJiangsu 211189China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150080China

The hydrodynamic performance of the virtual underwater vehicle under self-yaw is investigated numerically in this paper,we aim to explore the fluid laws behind this plane motion achieved by the bionic flexibility,especially the spanwise flexibility of the caudal *** kinematics of the chordwise flexible body and the spanwise flexible caudal fin are explored through dynamic mesh technology and user-defined functions(UDF).The 3-D Navier-Stokes equations are applied to simulate the viscid fluid surrounding the bionic *** study focuses on quantitative problems about the fluid dynamics behind the specific motion law,including speed of movement,energy loss and working *** current results show that the self-yaw can be composed of two motions,autonomous propulsion and active *** addition,the degree of the flexible caudal fin can produce different yaw *** chordwise phase differenceФis dominant in the propulsion function,while the spanwise phase differenceδhas a more noticeable effect on the steering *** pressure distribution on the surface of the dolphin and the wake vortex generated in the flow field reasonably reveal the evolution of *** properly turns out that the dolphin can combine the spanwise flexible caudal fin and the chordwise flexible body to achieve self-yaw motion.

关键词： Self-yaw dolphin Spanwise flexibility Caudal fin Numerical simulation Hydrodynamic performance

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SGT-Net: A Transformer-Based Stratified Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

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Computers, Materials & Continua 2024年第6期79卷 4471-4489页

作者： Suyi Liu Jianning Chi Chengdong Wu Fang Xu Xiaosheng Yu Faculty of Robot Science and Engineering Northeastern UniversityShenyang110167China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang110169China SIASUN Robot&Automation Co. Ltd.Shenyang110169China

In recent years,semantic segmentation on 3D point cloud data has attracted much *** 2D images where pixels distribute regularly in the image domain,3D point clouds in non-Euclidean space are irregular and inherently ***,it is very difficult to extract long-range contexts and effectively aggregate local features for semantic segmentation in 3D point cloud *** current methods either focus on local feature aggregation or long-range context dependency,but fail to directly establish a global-local feature extractor to complete the point cloud semantic segmentation *** this paper,we propose a Transformer-based stratified graph convolutional network(SGT-Net),which enlarges the effective receptive field and builds direct long-range ***,we first propose a novel dense-sparse sampling strategy that provides dense local vertices and sparse long-distance vertices for subsequent graph convolutional network(GCN).Secondly,we propose a multi-key self-attention mechanism based on the Transformer to further weight augmentation for crucial neighboring relationships and enlarge the effective receptive *** addition,to further improve the efficiency of the network,we propose a similarity measurement module to determine whether the neighborhood near the center point is *** demonstrate the validity and superiority of our method on the S3DIS and ShapeNet *** ablation experiments and segmentation visualization,we verify that the SGT model can improve the performance of the point cloud semantic segmentation.

关键词： 3D point cloud semantic segmentation long-range contexts global-local feature graph convolutional network dense-sparse sampling strategy

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Real-time Trajectory Planning for Redundant 7-dof Space Manipulators with Unknown Link Lengths

Real-time Trajectory Planning for Redundant 7-dof Space Mani...

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robotics, Control and Automation (ICRCA), International Conference on

作者： Jian Liu Zhiqi Li Shicai Shi Minghe Jin State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

Trajectory planning for redundant space manipulators in complex spatial environments is critical for ensuring successful on-orbit task execution, especially when the manipulator’s link lengths are unknown. Traditional algorithms struggle to establish the transformation between task space and joint space under such conditions, posing significant challenges to autonomous trajectory planning. This study proposes a novel trajectory planning method for a seven-degree-of-freedom redundant space manipulator with a shoulder-wrist offset. The method utilizes a trained pose control decision system to generate continuous, smooth, and singularity-free trajectories in real time, satisfying positional and orientational accuracy requirements for target capture. A neural network with strong nonlinear fitting capabilities is employed as the position control decision module for joints 1-4, trained using a "cautious exploration, greedy exploitation" strategy for efficient and safe trajectory optimization. For joints 5-7, an analytical orientation control decision module adjusts the end-effector’s attitude. Together, these modules form a pose control decision system that adheres to constraints on joint angular velocity, acceleration, and singularity avoidance. The proposed approach is validated through simulations in both static and dynamic scenarios, with simulation results confirming its effectiveness.

关键词： Accuracy Trajectory planning Simulation Position control Aerospace electronics Manipulators Control systems Real-time systems Angular velocity Manipulator dynamics

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