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A Modular Soft Pipe-Climbing Robot With High Maneuverability IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-26 Wenbiao Wang, Xin Wang, Gang Zheng, Rui Chen, Zean Yuan, Jincheng Huang, Ke Wu, Guanjun Bao
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Interest Point Selection and Feature Extraction in Six-DoF Grasp Pose Detection IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-26 Rui He, Haoyao Chen, Mengmeng Fu
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An Adaptive UKF for Vehicle State Estimation With Delayed Measurements and Packet Loss IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-26 Shuo Bai, Jingyu Hu, Yongjun Yan, Dawei Pi, Haonan Ding, Lilin Shen, Guodong Yin
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A Wearable Human–Machine-Interface (HMI) System Based on Colocated EMG-pFMG Sensing for Hand Gesture Recognition IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-26 Shen Zhang, Hao Zhou, Rayane Tchantchane, Gursel Alici
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Why animals can outrun robots Sci. Robot. (IF 25.0) Pub Date : 2024-04-24 Samuel A. Burden, Thomas Libby, Kaushik Jayaram, Simon Sponberg, J. Maxwell Donelan
Animals are much better at running than robots. The difference in performance arises in the important dimensions of agility, range, and robustness. To understand the underlying causes for this performance gap, we compare natural and artificial technologies in the five subsystems critical for running: power, frame, actuation, sensing, and control. With few exceptions, engineering technologies meet or
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Learning robust autonomous navigation and locomotion for wheeled-legged robots Sci. Robot. (IF 25.0) Pub Date : 2024-04-24 Joonho Lee, Marko Bjelonic, Alexander Reske, Lorenz Wellhausen, Takahiro Miki, Marco Hutter
Autonomous wheeled-legged robots have the potential to transform logistics systems, improving operational efficiency and adaptability in urban environments. Navigating urban environments, however, poses unique challenges for robots, necessitating innovative solutions for locomotion and navigation. These challenges include the need for adaptive locomotion across varied terrains and the ability to navigate
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Shear localization-induced amorphization in nanocrystals during high strain rate deformation Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-24 Qi-lin Xiong, Takahiro Shimada, Takayuki Kitamura
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Engineering Compliance in Legged Robots Via Robust Co-Design IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-24 Gabriel Bravo-Palacios, He Li, Patrick M. Wensing
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Full-field displacement measurement of long-span bridges using one camera and robust self-adaptive complex pyramid Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yuchao Wang, Weihua Hu, Jun Teng, Yong Xia
Full-field motion with a high spatial resolution can reflect the health state of long-span bridges. Traditional structural health monitoring (SHM) systems measure the structural displacement at sparse points only. Despite the development of various methods for obtaining high-resolution responses, they fail to estimate the multi-scale motions of real long-span bridges. A novel full-field motion estimation
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The assignment of zero sound pressure frequencies using measured sound pressure receptances and structural receptances Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yingsha Shi, Sheng Li
In structural receptances, the zeros (antiresonances) define those frequencies at which vibrations disappear. In this paper, the zero sound pressure frequency is defined as the frequency at which the sound pressure is zero at certain locations. A method for the assignment of zero sound pressure frequencies using measured sound pressure receptances and structural receptances is proposed through two
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Physics-based prognostics of rolling-element bearings: The equivalent damaged volume algorithm Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Alberto Gabrielli, Mattia Battarra, Emiliano Mucchi, Giorgio Dalpiaz
This paper introduces a novel parameter related to bearing degradation, namely the Equivalent Damaged Volume (EDV). An algorithm capable of extracting EDV values from experimental data is detailed. To this end, the proposed technique relies on the comparison between experimental and numerical signals. The former are the result of an extensive campaign of run-to-failure tests performed on a dedicated
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rLSTM-AE for dimension reduction and its application to active learning-based dynamic reliability analysis Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yu Zhang, You Dong, Michael Beer
A novel method termed rLSTM-AE is developed for the low-dimensional latent space identification of the stochastic dynamic systems with more than 1000 input random variables and the active learning-based dynamic reliability analysis. First, the long short-term memory network considers both the time-variant stochastic excitation and the time-invariant random variables is developed (rLSTM), which adopts
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Tracking superharmonic resonances for nonlinear vibration of conservative and hysteretic single degree of freedom systems Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Justin H. Porter, Matthew R.W. Brake
Many modern engineering structures exhibit nonlinear vibration. Characterizing such vibrations efficiently is critical to optimizing designs for reliability and performance. For linear systems, steady-state vibration occurs only at the forcing frequencies. However, nonlinearities (e.g., contact, friction, large deformation, etc.) can result in nonlinear vibration behavior including superharmonics —
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Estimating structural motions in extreme environmental conditions——A dynamic correlation filter based computer vision approach Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Enjian Cai, Yi Zhang, Xinzheng Lu, Xiaodong Ji, Xiang Gao, Jiale Hou, Ji Shi, Wei Guo
Vision-based methods have shown great potential in vibration-based structural health monitoring (SHM). However, these methods are not standard practices yet, since their accuracy and robustness may be influenced by extreme environmental conditions. To this end, this paper proposed a method, named dynamic regularized total variation correlation filter (DTVCF). In DTVCF, an effective optimization problem
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Failure analysis of bolted steel plate connections with three-dimensional flexibilities Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-23 D.A. Abdoh
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Physical Human–Robot Interaction Based on Adaptive Impedance Control for Robotic-Assisted Total Hip Arthroplasty IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-23 Yiming Chen, Yuhao Zhang, Xingwei Zhao, Qiang Xie, Kun Yang, Bo Tao, Han Ding
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A Novel Variable Stiffness Actuator Based on Cable-Pulley-Driven Mechanisms for Robotics IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-23 Zhisen Li, Peng Xu, Bing Li
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Robust Precision Motion Control Based on Enhanced Unknown System Dynamics Estimator for High-DoF Robot Manipulators IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-23 Xinyu Jia, Jun Yang, Tian Shi, Wenxin Wang, Yongping Pan, Haoyong Yu
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MGLT: Magnetic-Lead Global Localization and Tracking in Degenerated Repetitive Environments IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-23 Zhenyu Wu, Wei Wang, Jun Zhang, Yuanzhe Wang, Guohao Peng, Danwei Wang
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Iterative Learning for Gravity Compensation in Impedance Control IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-23 Teng Li, Amir Zakerimanesh, Yafei Ou, Armin Badre, Mahdi Tavakoli
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Experimental nonlinear model of a set of connecting elements in view of nonlinear modal coupling Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-22 Jacopo Brunetti, Walter D’Ambrogio, Annalisa Fregolent, Francesco Latini
The development process of mechanical systems involves the evaluation of its modes of vibrations in the frequency range of interest. In general, a linear modal analysis is sufficient to determine whether the system can operate in dynamic conditions. However, in some cases the assembly is composed of many subsystems connected through nonlinear connections which make the response depend on the amplitude
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Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Xiaowu Sun, Yasser Shoukry
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Soft Printable Robots with Flexible Metal Endoskeleton IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Chao-Yu Chen, Benjamin W.K.Ang, Yangfan Li, Jun Liu, Zhuangjian Liu, Chen-Hua Yeow
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Autonomous Vehicle Localization Without Prior High-Definition Map IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Sangmin Lee, Jee-Hwan Ryu
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Online Multi-Contact Receding Horizon Planning via Value Function Approximation IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono, Wenqian Du, Jaehyun Shim, Saeid Samadi, Ke Wang, Vladimir Ivan, Sylvain Calinon, Sethu Vijayakumar, Steve Tonneau
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Heterogeneous Targets Trapping With Swarm Robots by Using Adaptive Density-Based Interaction IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Shuai Zhang, Xiaokang Lei, Xingguang Peng, Jia Pan
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Complete and Near-Optimal Robotic Crack Coverage and Filling in Civil Infrastructure IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Vishnu Veeraraghavan, Kyle Hunte, Jingang Yi, Kaiyan Yu
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On the Generality and Application of Mason's Voting Theorem to Center of Mass Estimation for Pure Translational Motion IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-22 Ziyan Gao, Armagan Elibol, Nak Young Chong
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Parallel Manipulator Double Stage Calibration Based on Adaptive Kalman Filter IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-22 Omid Mahdi Zadeh, Vahid Akbari, S. Ali A. Moosavian, Esmaeil Najafi
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Task Optimization for a Class of Mobile Depth Sensor Network in Unknown Environments IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-22 Zike Lei, Xi Chen, Ying Tan, Xiang Chen, Li Chai
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Compressible FSI of elastic spikes for drag reduction under hypersonic flow Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-21 Wen-Fan Wang, Mei Mei, Zhi-Qiao Wang, Zhi-Fu Zhou, Wei-Tao Wu
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Finite deformation micropolar peridynamic theory: Variational consistency of wryness measure Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-21 Sajal, Pranesh Roy
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Laser shock-enabled optical–thermal–mechanical coupled welding method for silver nanowires Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-04-20 Yizhong Hu, Xiaohan Zhang, Hongtao Ding, Yaowu Hu
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How does the uncut chip thickness affect the deformation states within the primary shear zone during metal cutting? Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-04-20 Kai Ma, Zhanqiang Liu, Bing Wang, Qinghua Song, Yukui Cai
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Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-20 Jiaxu Gao, Guoxian Wang, Jinhua Xiao, Pai Zheng, Eujin Pei
The burgeoning electric vehicle (EV) industry has precipitated a commensurate surge in the consumption of EV batteries, which are currently labor-intensive and inefficient for the recycling and disassembly of EV batteries. However, it is a potential trend to enhance the efficacy and safety of the disassembly of EV batteries based on human-robot collaboration (HRC) method. Because of the uncertainty
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On-machine measurement and compensation of thin-walled surface Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-20 Lida Zhu, Yanpeng Hao, Shaoqing Qin, Xiaoyu Pei, Tianming Yan, Qiuyu Qin, Hao Lu, Boling Yan, Xin Shu, Jianhua Yong
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Geometric deviation during incremental sheet forming process: Analytical modeling and experiment Int. J. Mach. Tool Manu. (IF 14.0) Pub Date : 2024-04-19 Zhidong Chang, Mei Yang, Jun Chen
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Reliable arrival time picking of acoustic emission using ensemble machine learning models Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-19 Xiao Wang, Qingrui Yue, Xiaogang Liu
This study presents an innovative method for accurately picking the first-wave arrival time in acoustic emission (AE) localization, particularly effective in environments with low or variable signal-to-noise ratios (SNR). Utilizing an ensemble learning model, it synergizes multiple automatic arrival time estimation algorithms to enhance both consistency and robustness. The model, rooted in decision
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Multiscale fluid–structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-19 Hao Ding, Zili Zhang, Jinting Wang, Jian Zhang, Okyay Altay
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PH-Gauss-Lobatto Reduced-Order-Model for shape control of Soft-Continuum Manipulators IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-19 Steeve Mbakop, Gilles Tagne, Tanguy Chevillon, Sergey V. Drakunov, Rochdi Merzouki
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Provably Feasible Semi-Infinite Program Under Collision Constraints via Subdivision IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-19 Duo Zhang, Chen Liang, Xifeng Gao, Kui Wu, Zherong Pan
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A customizable cam-typed bistable nonlinear energy sink Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-19 Xin Liao, Lin Chen, HeowPueh Lee
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Gesture-Based Steering Framework for Redundant Soft Robots IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Jiewen Lai, Bo Lu, Kaicheng Huang, Henry K. Chu
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DexiTac: Soft Dexterous Tactile Gripping IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Chenghua Lu, Kailuan Tang, Max Yang, Tianqi Yue, Haoran Li, Nathan F. Lepora
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A New Active-Thrust Tool Spindle and Integrated Force Measurement Technique for Robotic Drilling IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Matthew O. T. Cole, Pongsiri Kuresangsai, Pinyo Puangmali, Theeraphong Wongratanaphisan, Chakkapong Chamroon
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A Novel Articulated Manipulator Design With Mechanism Doublet IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Yunjiang Wang, Keji Yang, Haoran Jin
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Lamb waves-based PCF-DMA: An anti-interference synchronous independent data transmission scheme for multiple cross-space users Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-18 Yunfei Xu, Haoming Xiang, Xuegang Li, Hezhen Yu, Shaohua Chen, Wenbin Huang, Xiaoxi Ding
Due to the high cost and safety risk brought about by wire penetration within the aerospace and underwater structure, reliable wireless cross-space multiple access transmission techniques become highly necessary. Lamb waves data transmission is recognized as a feasible solution, since it utilizes the solid structures as the transmission medium without being affected by electromagnetic radiation. However
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Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-18 Sihao Han, Nanfang Ma, Qiang Han, Chunlei Li
This paper introduces a novel machine learning-based optimization strategy for multi-functional acoustic black hole (ABH) metaplates. The primary objective is to achieve a multi-functional metaplate with excellent performance in elastic wave attenuation and load-bearing capacity simultaneously. The paper begins by describing the design of nanocomposite ABH metaplates, presenting a new pathway to realize
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Physics-informed neural networks for acoustic boundary admittance estimation Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-18 Johannes D. Schmid, Philipp Bauerschmidt, Caglar Gurbuz, Martin Eser, Steffen Marburg
Acoustic simulations often face significant uncertainties due to limited knowledge of acoustic boundary conditions. While measuring the boundary admittance is challenging in practical applications, numerical inverse methods can be used to characterize the boundary conditions based on sound pressure data. However, conventional inverse methods require a validated forward model and can become impractical
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A guide to numerical dispersion curve calculations: Explanation, interpretation and basic Matlab code Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-18 Vanessa Cool, Elke Deckers, Lucas Van Belle, Claus Claeys
Dispersion diagrams play a crucial role in examining, analyzing and designing wave propagation in periodic structures. Despite their ubiquity and current research interest, introductory papers and reference scripting tailored to novel researchers in the field are lacking. This paper aims to address this gap, by presenting a comprehensive educational resource for researchers starting in the field of
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Asymptotic [formula omitted]-FEM for nonlinear analysis of composite shells Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-18 C.A. Yan, R. Vescovini
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Dynamic characteristics of polar ocean detector passing through the crushed ice zone based on the CFD-DEM method Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-18 Xinyu Hu, Yingjie Wei, Cong Wang
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Shape Servoing of Deformable Objects Using Model Estimation and Barrier Lyapunov Function IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Vrithik Raj Guthikonda, Ashwin P. Dani
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Root Canal Preparation Robot Based on Guiding Strategy for Safe Remote Therapy: System Design and Feasibility Study (2023) IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Dianhao Wu, Jingang Jiang, Jie Pan, Kun Qian, Zhonghao Xue
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Toward Highly Sensitive Ocean-Wave Monitoring With Sliding-Triboelectric Effect: Modeling, Experimental Validation, and Demonstration IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Yan Peng, Heming Liu, Hengyu Guo, Ying Gong, Fan Shen, Qin Zhang, Zhongjie Li
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Embedded Model Predictive Control for Torque Distribution Optimization of Electric Vehicles IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Xiao Hu, Hong Chen, Xun Gong, Yunfeng Hu, Ping Wang
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Confutation of the “Counterexample to Passivity Preservation for Variable Impedance Control of Compliant Robots” IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Emmanouil Spyrakos-Papastavridis, Peter R. N. Childs, Jian S. Dai
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Real-world humanoid locomotion with reinforcement learning Sci. Robot. (IF 25.0) Pub Date : 2024-04-17 Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath
Humanoid robots that can autonomously operate in diverse environments have the potential to help address labor shortages in factories, assist elderly at home, and colonize new planets. Although classical controllers for humanoid robots have shown impressive results in a number of settings, they are challenging to generalize and adapt to new environments. Here, we present a fully learning-based approach
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Locomotion as manipulation with ReachBot Sci. Robot. (IF 25.0) Pub Date : 2024-04-17 Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu Lapôtre, Marco Pavone, Mark R. Cutkosky
Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological interest but consist of terrain that is inaccessible with traditional robot locomotion. To support the exploration of these sites, we present ReachBot, a robot that uses extendable booms as appendages to manipulate itself with respect to irregular rock surfaces. The booms terminate in grippers equipped with microspines
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Constitutive model of metal rubber based on modified Iwan model under quasi-static compression and random vibration Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Hang Yang, Xiangyu Chen, Chunwang He, Qiwen Zeng, Mingyong Wu, Gang Chen
Metal rubber has been widely applied in the fields of structural vibration reduction and impact protection, due to its excellent mechanical properties. However, an accurate constitutive model of metal rubber to characterize its complex nonlinear mechanical behavior is still lacking. In this paper, a new constitutive model of metal rubber based on the Iwan model (parallel spring-slider model) is proposed