-
An ultrawide field-of-view pinhole compound eye using hemispherical nanowire array for robot vision Sci. Robot. (IF 25.0) Pub Date : 2024-05-15 Yu Zhou, Zhibo Sun, Yucheng Ding, Zhengnan Yuan, Xiao Qiu, Yang Bryan Cao, Zhu’an Wan, Zhenghao Long, Swapnadeep Poddar, Shivam Kumar, Wenhao Ye, Chak Lam Jonathan Chan, Daquan Zhang, Beitao Ren, Qianpeng Zhang, Hoi-Sing Kwok, Mitch Guijun Li, Zhiyong Fan
Garnering inspiration from biological compound eyes, artificial vision systems boasting a vivid range of diverse visual functional traits have come to the fore recently. However, most of these artificial systems rely on transformable electronics, which suffer from the complexity and constrained geometry of global deformation, as well as potential mismatches between optical and detector units. Here
-
What to give your robot mother on Mother’s Day Sci. Robot. (IF 25.0) Pub Date : 2024-05-15 Robin R. Murphy
Jung_E , the 2023 science-fiction movie from South Korea, suggests that a novel leg-wheel hybrid for robot locomotion might be appreciated.
-
Stereoscopic artificial compound eyes for spatiotemporal perception in three-dimensional space Sci. Robot. (IF 25.0) Pub Date : 2024-05-15 Byungjoon Bae, Doeon Lee, Minseong Park, Yujia Mu, Yongmin Baek, Inbo Sim, Cong Shen, Kyusang Lee
Arthropods’ eyes are effective biological vision systems for object tracking and wide field of view because of their structural uniqueness; however, unlike mammalian eyes, they can hardly acquire the depth information of a static object because of their monocular cues. Therefore, most arthropods rely on motion parallax to track the object in three-dimensional (3D) space. Uniquely, the praying mantis
-
Fully neuromorphic vision and control for autonomous drone flight Sci. Robot. (IF 25.0) Pub Date : 2024-05-15 F. Paredes-Vallés, J. J. Hagenaars, J. Dupeyroux, S. Stroobants, Y. Xu, G. C. H. E. de Croon
Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar characteristics. However, robotic implementations have been limited to basic tasks with low-dimensional sensory inputs and motor actions because of the restricted
-
Quantifying the Risk of Unmapped Associations for Mobile Robot Localization Safety IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-15 Yihe Chen, Boris Pervan, Matthew Spenko
-
Dynamic Modeling Incorporating Water Damping for a Fiber-Reinforced Soft Actuator Based on Euler–Bernoulli and Cosserat Rod Theories IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-15 Shengkai Liu, Jian Jiao, Ning Ding, Tao Mei
-
In-process 4D reconstruction in robotic additive manufacturing Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-05-14 Sun Yeang Chew, Ehsan Asadi, Alejandro Vargas-Uscategui, Peter King, Subash Gautam, Alireza Bab-Hadiashar, Ivan Cole
Robotic additive manufacturing using a cold spray deposition head attached to a robotic arm can deposit material in a solid state with deposition rates in kilogrammes per hour. Under such a high deposition rate, the complicated interplay between the robot’s motion, gun standoff distance, spray angle, overlapping, and the interaction of supersonic powder particles with a growing structure could cause
-
Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-05-14 Youjie Yao, Lin Gui, Xinyu Li, Liang Gao
-
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Yunpeng Liu, Hongkai Jiang, Renhe Yao, Tao Zeng
-
Sound field control of duct noise with two sensorless adjustable impedance units Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Zhijun Yu, Daoqing Chang, Yongyuan Zhang, Xiaobin Cheng
This study investigates the sound insulation capabilities of two electromagnetic induction membranes controlled by shunt circuits in the duct sound field. The real and imaginary parts of the diaphragm acoustic impedance can be precisely decoupled and regulated through the operational amplifiers and adjustable resistors in the shunt circuits. The parameter indicators and are also presented to evaluate
-
Adaptive filter based anti-strong transient impact method for vortex flowmeter Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Chun-Li Shao, Shi-Wei Wang, Shuang-Long Yang, Ke-Jun Xu, Ze-Xia Huang
The vortex flowmeter is widely used for fluid flow measurement in industrial pipelines. However, the industrial sites may have complex situations, when pipelines are exposed to high-intensity or high-frequency transient impacts, the interference energy will surpass that of the vortex signal, leading to measurement errors in frequency estimation methods relying on the maximum spectrum peak. To address
-
Numerical and experimental study on the novel active aerostatic bearings with the controllable throttling effect for obtaining high static stiffness Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Wenjun Li, Shenling Cai, Pengfei Zhang, Yuan Ping, Kai Feng
-
Comparison of nonlinear vibration responses induced by edge crack and surface crack of compressor blades Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Hong Guan, Qian Xiong, Hui Ma, Weiwei Wang, Kaixuan Ni, Zhiyuan Wu, Xunmin Yin, Songtao Zhao, Xiaoxu Zhang
-
Modal parameter estimation of turbomachinery in operation taking into account friction damping Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-14 Mona Amer, Carlos E. Ventura, Niklas Maroldt, Joerg R. Seume, Joerg Wallaschek
-
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
-
Keypoint-Guided Efficient Pose Estimation and Domain Adaptation for Micro Aerial Vehicles IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Ye Zheng, Canlun Zheng, Jiahao Shen, Peidong Liu, Shiyu Zhao
-
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
-
Variable Wheelbase Control of Wheeled Mobile Robots With Worm-Inspired Creeping Gait Strategy IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Huanan Qi, Liang Ding, Miao Zheng, Lan Huang, Haibo Gao, Guangjun Liu, Zongquan Deng
-
MS-VRO: A Multi-Stage Visual-Millimeter Wave Radar Fusion Odometry IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Yuwei Cheng, Mengxin Jiang, Yimin Liu
-
Smooth Distances for Second Order Kinematic Robot Control IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Vinicius Mariano Gonçalves, Anthony Tzes, Farshad Khorrami, Philippe Fraisse
-
Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Yunho Kim, Hyunsik Oh, Jeonghyun Lee, Jinhyeok Choi, Gwanghyeon Ji, Moonkyu Jung, Donghoon Youm, Jemin Hwangbo
-
Safe set-based trajectory planning for robotic manipulators IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Ryan McGovern, Nikolaos Athanasopoulos, Seán McLoone
-
Dynamic Adaptive Dynamic Window Approach IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Matej Dobrevski, Danijel Skočaj
-
Autonomous Drone Racing: A Survey IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
-
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Arthur Zhang, Chaitanya Eranki, Christina Zhang, Ji-Hwan Park, Raymond Hong, Pranav Kalyani, Lochana Kalyanaraman, Arsh Gamare, Arnav Bagad, Maria Esteva, Joydeep Biswas
-
Distributed Control of Unmanned Marine Vehicles for Target Circumnavigation in Communication-Denied Environments IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Zhiyu Yan, Huarong Zheng, Zixiang Jiang, Wen Xu
-
SGS-Planner: A Skeleton-Guided Spatiotemporal Motion Planner for Flight in Constrained Space IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Tianyi Li, Shiyong Zhang, Xuebo Zhang, Qianli Dong, Junsheng Huang
-
A Novel Asymmetric Multi-Magnetic-Circuit Variable Flux Memory Machine With Magnetic-Field-Shifting Effect for Electric Vehicle Applications IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Wei Liu, Chi Zhang, Xindong Shu, Jinhua Chen, Hui Yang
-
Stabilization Controller Design of Flapping Wing Aircraft Considering the Unique Periodic Characteristics IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Liang Wang, Wuyao Jiang, Longfei Zhao, Zongxia Jiao
-
A whole-path posture optimization method of robotic grinding based on multi-performance evaluation indices Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-05-13 Bing Chen, Yanan Wang, Shuhang Hu, Zhijian Tao, Junde Qi
-
A framework for human–robot collaboration enhanced by preference learning and ergonomics Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-05-13 Matteo Meregalli Falerni, Vincenzo Pomponi, Hamid Reza Karimi, Matteo Lavit Nicora, Le Anh Dao, Matteo Malosio, Loris Roveda
Industry 5.0 aims to prioritize human operators, focusing on their well-being and capabilities, while promoting collaboration between humans and robots to enhance efficiency and productivity. The integration of collaborative robots must ensure the health and well-being of human operators. Indeed, this paper addresses the need for a human-centered framework proposing a preference-based optimization
-
Improving processing stability of thin-walled casing workpieces by sucker-mounted TMD: Optimization, design, and implementation Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-13 Wenshuo Ma, Yiqing Yang, Jingjun Yu, Guoqing Yang
Passive chatter suppression by addition of tuned mass dampers has proven effective in enhancing machining stability of thin-walled workpieces. However, the damper installed on a fixed position may fail to offer effective and robust chatter suppression, as the cutting position varies during machining. This challenge is compounded by the steep dynamics variation of the workpiece along the radial direction
-
A relative path based virtual sensing method for the active feedback headrest system Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-13 Chunyu Liu, Chuang Shi, Yujie Fu, Huiyong Li, Ce Zhu
Virtual sensing methods (VS) enable an active noise control (ANC) system to achieve noise reduction at a target control point, but impractical to place an error microphone for an extended period of time. This is realized by employing remote monitoring microphones. This paper introduces the relative path based VS (RP-VS) method for feedback ANC systems and compares it to existing VS methods, including
-
A new approach for sparse optimization with Moreau envelope to extract bearing fault feature Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-13 Tianxu Qiu, Weiguo Huang, Zhichao Zhang, Jun Wang, Zhongkui Zhu
The bearing fault feature detection and extraction from vibration signals are of great significance in mechanical fault diagnosis and machine condition monitoring. Sparse optimization focusing on different domains is one effective tool to extract weak fault feature from strong background noise. To unbiasedly detect fault features, one sparse model is constructed on the time–frequency domain, and Minimax
-
Multi-iteration Frequency-domain Synthetic Aperture Focusing Technique (MIF-SAFT) in multi-mode laser ultrasound for image quality improvement Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-13 Kai-Ning Ying, Chen-Yin Ni, Lu-Nan Dai, Wen-Xi Cao, Zhi Yang, Ling Yuan, Wei-Wei Kan, Zhong-Hua Shen
-
A Pneumatic-Actuated Flexible Robotic Arm With Rigid Backbone for High-Precision and Safe Manipulation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Xuanyi Zhou, Changqu Wu, Shibo Cai, Guanjun Bao
-
Design and Control of the Rotor-Assisted Planar Folding-Leg Robot KOU IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Xianwu Zeng, Guoteng Zhang, Xin Ma, Anhuan Xie, Yibin Li
-
HyExo: A Novel Quasi-Passive Hydraulic Exoskeleton for Load-Carrying Augmentation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Wu Fan, Zhe Dai, Bin Zhang, Long He, Min Pan, Jingang Yi, Tao Liu
-
Development and Control of a Dual-Mode Magnetic Intravascular Ultrasound Robot for Imaging in Tortuous Blood Vessels IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Zhengxin Yang, Lihao Liu, Xinze Li, Jiaqi Li, Yang Jiao, Yaoyao Cui
-
Barrier Lyapunov Function-Based Fuzzy Adaptive Admittance Control of an Upper Limb Exoskeleton Using RBFNN Compensation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Qingcong Wu, Zhijie Wang, Ying Chen, Hongtao Wu
-
A Bioinspired Paddle-Wheeled Leg Amphibious Robot With Environment-Adaptive Autonomously IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 He Zhang, Yue Zhu, Jiahui Yang, Chen Yang, Jie Zhao
-
Compensation Modulation for Tracking Accuracy in Free Motion and Compliance During Interaction IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Dongwoo Ko, Donghyeon Lee, Woongyong Lee, Keehoon Kim, Wan Kyun Chung
-
Establishment and Application of a Semianalytical Model of Ultrasonic Power Transfer IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Jingpin Jiao, Zhiyan Qiao, Boya Liu, Jinyu Yang, Xiang Gao
-
Modeling and Torque Control Against Rate-Dependent Hysteresis of a Magnetorheological Fluid Dual Clutch in an Electric Vehicle Transmission System IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Jin Zhao, Lei Deng, Donghong Ning, Huan Zhang, Shuaishuai Sun, Weihua Li, Haiping Du
-
A novel locally resonance metamaterial cylindrical shell with tower-shaped lattice for broadband vibration suppression Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Shaoke Wan, Lele Li, Gang Wang, Xiaohu Li, Jun Hong
Vibration issues in cylindrical shells are prevalent in engineering applications and can significantly impact the operational performance of systems. To address these challenges, this paper designs a novel local resonance tower structure, and establishes an analytical model to investigate vibration characteristics of the metamaterial cylindrical shell. Based on the model, a gradient design strategy
-
An ultrafast and robust structural damage identification framework enabled by an optimized extreme learning machine Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Xinwei Wang, Yinghao Zhao, Zhihao Wang, Nan Hu
Artificial intelligence (AI) has recently been implemented in structural health monitoring (SHM) systems for damage detection and identification. However, existing AI methods often involve a high number of parameters, resulting in the laborious workload during model training and implementation. In this study, we develop a lightweight damage identification framework embedded with an optimized extreme
-
Nonlinear dynamic modeling and analysis of the fluid-transporting cracked pipe using the hybrid semi-analytical and finite element method Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Wenhao Ji, Hongwei Ma, Wei Sun, Fangming Liu
The fatigue cracks may develop in the pipe systems due to long-term cyclic loading, which may cause catastrophic accidents. The finite element method (FEM) is usually adopted to simulate the stress singularity and breathing effect, resulting in expensive computational costs. Therefore, in this paper, an efficient hybrid semi-analytical and finite element (SA-FE) method is proposed to study the nonlinear
-
Intelligent in-process enhancement technique for machining efficiency in CNC machine tools based on spindle power Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Yeming Jiang, Kuo Liu, Jiadong Huang, Di Zhao, Wei Yang, Yongqing Wang
In the realm of mechanical machining, adaptive machining techniques offer an efficient method. However, existing adaptive machining technologies cannot automatically identify the type of workpiece to be machined, nor can they set different control targets based on tool load-bearing capacity. This often requires manual and cumbersome operations, making the application of adaptive machining technology
-
An online chatter detection and recognition method for camshaft non-circular contour high-speed grinding based on improved LMD and GAPSO-ABC-SVM Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Rongjin Zhuo, Zhaohui Deng, Yiwen Li, Tao Liu, Jimin Ge, Lishu Lv, Wei Liu
-
Unsupervised complex semi-binary matrix factorization for activation sequence recovery of quasi-stationary sources Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-11 Romain Delabeye, Martin Ghienne, Olivia Penas, Jean-Luc Dion
-
Anomaly detection in structural dynamic systems via nonlinearity occurrence analysis using video data Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Sifan Wang, Mayuko Nishio
Dynamic loads in disaster events, such as earthquakes, often cause structural damages that severely affect serviceability and even reduce the safety of civil structures or render them unsafe. Most of these damage scenarios can cause the transition from a linear to nonlinear behavior in structural dynamics. Therefore, extracting such nonlinear behaviors is an effective strategy for structural anomaly
-
New deterministic model for calculating mesh stiffness and damping of rough-surface gears considering elastic–plastic contact and energy-dissipation mechanism Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Zhou Sun, Siyu Chen, Jinyuan Tang, Zehua Hu, Xuan Tao, Qibo Wang, Shuhan Yang, Ping Jiang
For a long time, meshing parameter calculations and dynamic modeling of gear systems have assumed smooth tooth surfaces, disregarding the impact of actual three-dimensional (3D) microscopic topography. Based on elastic–plastic contact and energy-dissipation mechanisms, this work developed a comprehensive deterministic model that integrates 3D rough surface modeling, reconstruction, and contact analysis
-
Double-classifier adversarial learning for fault diagnosis of rotating machinery considering cross domains Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Tongtong Jin, Chuanhai Chen, Jinyan Guo, Zhifeng Liu, Yueze Zhang
Deep learning methods have been demonstrated remarkable success in machine fault diagnosis under the constraint of identical distribution between training datasets and test datasets. However, achieving such conditions in practical scenarios remains challenging. Variations in working conditions lead to distinct distributions in fault data, while acquiring sufficient labeled fault data is often difficult
-
Benefits of Mann–Kendall trend analysis for vibration-based condition monitoring Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Adrien Marsick, Hugo André, Ilyes Khelf, Quentin Leclère, Jérôme Antoni
Rank-based statistics offer an appealing framework to non-parametric robust trend detection. Especially, the Mann–Kendall test detects the presence of a trend in a series. This paper investigates the benefits of using the Mann–Kendall test, which seems to have remained largely unnoticed in the context of vibration-based condition monitoring. Two contributions structure the present paper. First, theoretical
-
Data fusion based on short-term memory Kalman filtering using intermittent-displacement and acceleration signal with a time-varying bias Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Ashish Pal, Satish Nagarajaiah
Accurate displacement information plays a vital role in various applications from structural health monitoring to damage detection in physical systems. Due to practical reasons, displacement sensing is often performed using sensors that provide less accuracy or a low sampling rate. This study proposes an algorithm for displacement signal estimation that fuses high sampling rate acceleration data (which
-
Simulating non-stationary and non-Gaussian cross-correlated fields using multivariate Karhunen–Loève expansion and L-moments-based Hermite polynomial model Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-10 Zhao Zhao, Zhao-Hui Lu, Yan-Gang Zhao
In practical engineering, cross-correlated random fields are often used to model structural materials or random loads containing multiple correlations. Effective and accurate simulation of these cross-correlation fields is an important prerequisite for subsequent reliability analysis and uncertainty quantification of complex systems. Therefore, this paper proposes a new simulation method for non-stationary
-
High-accuracy ultrasonic imaging of the defects in the complex-surface components by the search-vector imaging condition Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-09 Kaipeng Ji, Peng Zhao, Chaojie Zhuo, Hao Chen, Jingdai Wang, Jianzhong Fu
Complex-surface components play more and more significant roles in engineering practice because of the development of manufacturing technology and requirements from various industries. Void and crack defects inside the components greatly deteriorate the mechanical properties, and ultrasonic full-matrix imaging is a promising method to detect the defects. However, the research on high-quality full-matrix
-
On population-based structural health monitoring for bridges: Comparing similarity metrics and dynamic responses between sets of bridges Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-09 Andrew Bunce, Daniel S. Brennan, Alan Ferguson, Connor O'Higgins, Su Taylor, Elizabeth J Cross, Keith Worden, James Brownjohn, David Hester
Bridges are valuable infrastructure assets that are challenging and expensive to maintain. State-of-the-art data-based bridge SHM solutions look to use bridge response data for condition assessment and damage detection. Data-based SHM methods can be limited in their application as they require large datasets to train models effectively, and most bridges lack the available data for the approaches to
-
Transmissibility-based operational modal analysis: A unified scheme and uncertainty quantification Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-09 Jie Kang, Jiabao Sun, Jie Luo, Xiaoteng Liu
-
MTGrasp: Multiscale 6-DoF Robotic Grasp Detection IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-09 Sheng Yu, Di-Hua Zhai, Yuanqing Xia