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Corrigendum: Biologically inspired swimming robotic frog based on pneumatic soft actuators (2020 Bioinspir. Biomim.15 046006)

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Bioinspiration & biomimetics 2022年第4期17卷 049501-049501页

作者： Jizhuang Fan Qilong Du Qingguo Yu Yi Wang Jiaming Qi Yanhe Zhu State Key Laboratory of Robotics and System Harbin Institute of Technology People's Republic of China.

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Fluid pumping by liquid metal droplet utilizing ac electric field

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Physical Review E 2022年第2期105卷 025102-025102页

作者： Chun-Lei Song Ye Tao Wei-Yu Liu Yi-Cheng Chen Rui Xue Tian-Yi Jiang Biao Li Hong-Yuan Jiang Yu-Kun Ren State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China School of Engineering and Applied Sciences and Department of Physics Harvard University Cambridge Massachusetts 02138 USA School of Electronics and Control Engineering Chang'an University Xi'an 710000 China School of Energy Science and Engineering Harbin Institute of Technology Harbin 150001 China School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China

We report a unique phenomenon in which liquid metal droplets (LMDs) under a pure ac electric field pump fluid. Unlike the directional pumping that occurs upon reversing the electric field polarity under a dc signal, this phenomenon allows the direction of fluid motion to be switched by simply shifting the position of the LMD within the cylindrical chamber. The physical mechanism behind this phenomenon has been termed Marangoni flow, caused by nonlinear electrocapillary stress. Under the influence of a localized, asymmetric ac electric field, the polarizable surface of the position-offset LMD produces a net time-averaged interfacial tension gradient that scales with twice the field strength, and thus pumps fluid unidirectionally. However, the traditional linear RC circuit polarization model of the LMD/electrolyte interface fails to capture the correct pump-flow direction when the thickness of the LMD oxide skin is non-negligible compared to the Debye length. Therefore, we developed a physical description by treating the oxide layer as a distributed capacitance with variable thickness and connected with the electric double layer. The flow profile is visualized via microparticle imaging velocimetry, and excellent consistency is found with simulation results obtained from the proposed nonlinear model. Furthermore, we investigate the effects of relevant parameters on fluid pumping and discuss a special phenomenon that does not exist in dc control systems. To our knowledge, no previous work addresses LMDs in this manner and uses a zero-mean ac electric field to achieve stable, adjustable directional pumping of a low-conductivity solution.

关键词： Electrokinetic flows Interfacial flows Surface tension effects Lagrangian particle tracking

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An Improved Chimp Optimization Algorithm for Short-term Hydrothermal Scheduling

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2022年第3期49卷 666页

作者： Chen, Gonggui Wang, Shumin He, Yongsheng Shang, Wanfeng Long, Hongyu Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Shenzhen518055 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China

The short-term hydrothermal scheduling (STHS) is a complex non-linear, non-convex and high-dimensional mathematical optimization problem. Due to the fact that the original chimp optimization algorithm (ChOA) is likely to fall into local optimum and has the disadvantage of low population diversity, an improved chimp optimization algorithm (IChOA) is proposed to solve the STHS problem. Firstly, Logistic-Tent chaotic mapping is employed to initialize the population and increase the population diversity. Then a new nonlinear convergence factor is introduced to make the optimization search process more applicable to STHS problems. Next, particle swarm algorithm (PSO) and gravitational search algorithm (GSA) are combined to enhance the shortcoming and balance the global search ability and local exploration ability of ChOA. Moreover, Cauchy mutation and opposition-based learning strategy are supplemented as perturbation interference when the optimal position is not updated to improve the ability to leap out of the local optimum. Finally, a graded optimization strategy is adopted for the constraint handing of dynamic reservoir balance and thermal power balance. Three standard hydrothermal power systems are utilized to verify the practicability and validity of the proposed method. Results of simulations reveal that IChOA has significant competitive advantages in addressing the STHS problem. © 2022, IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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Anomaly Detection of Marine Diesel Engine Valve system based on Mahalanobis Distance

Anomaly Detection of Marine Diesel Engine Valve System based...

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2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

作者： Sun, Yue Xu, Aidong Wang, Kai Jia, Shuli Guo, Haifeng Han, Xiaojia Laboratory of Industrial Control Network and System State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Shenyang China Automation Engineering Department Shanghai Marine Diesel Engine Research Institute Shanghai China

ISBN: (纸本)9781728159454

Diesel engine is an important energy equipment. The valve system is the core component of diesel engine with high failure rate. It is of great significance to study the abnormal detection method of the diesel engine valve system and realize the failure warning before the failure occurs for avoiding the unexpected shutdown of the diesel engine. In this paper, an anomaly detection method of marine diesel engine valve system based on Mahalanobis distance (MD) is proposed. The failure mode of diesel engine system is analyzed. Three thermal parameters are selected as monitoring parameters for the failure mode of roller fragmentation. Fault features are extracted by MD method and the failure threshold is determined by Box-Cox transformation. Finally, the effectiveness of the proposed method is verified by the durability test of diesel engine. © 2020 IEEE.

关键词： Diesel engines

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A robotic laparoscopic tool with enhanced capabilities and modularactuation

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Science China(Technological Sciences) 2019年第1期62卷 47-59页

作者： DAI ZhengChen WU ZhongHao ZHAO JiangRan XU Kai The RII Lab(Lab of Robotics Innovation and Intervention) UM-SJTU Joint Institute Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University

Due to the improved treatment outcomes, research on robotic MIS(Minimally Invasive Surgery) thrived in the past decades. A benchmark example is the da Vinci system that dominates robotic laparoscopy via its technology excellence and strong holding of intellectual properties. This study provides an alternative approach to realize robotic laparoscopic surgeries, by presenting the development and experimentation of the SMARLT(Strengthened Modularly Actuated Robotic Laparoscopic Tool) for MIS. A dual continuum mechanism is used in the design to achieve enhanced distal dexterity, improved reliability, increased payload capability, and actuation modularity. With kinematics modelling and actuation compensation, the SMARLT can be manipulated by a generic manipulator to carry out typical laparoscopic MIS tasks, such as tissue peeling, suturing, and knot tying. Payload capability was also experimentally characterized. The SMARLT-manipulator system essentially formed a continuum-rigid hybrid structure that makes full use of the advantages from each component: the continuum mechanism as a wrist for distal dexterity and other rigid parts for position accuracy and payload capability. With the experimental demonstration of the desired functionalities, the SMARLT design can lead to promising opportunities for commercialization.

关键词： dexterous wrist dual continuum mechanism medical robotics modular laparoscopic tools surgical instruments

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An Efficient Planning and Control Framework for Quadrotors Based on Heuristic Search and Data-Driven Model Predictive Control

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IEEE Transactions on Industrial Electronics 2025年

作者： Wang, Sifei Wang, Yaonan Miao, Zhiqiang Wang, Xiangke He, Wei Wang, Hesheng Hunan University College of Electrical and Information Engineering Changsha 410082 China National Engineering Research Center for Robot Visual Perception and Control Changsha 410082 China National University of Defense Technology College of Intelligence Science and Technology Changsha 410073 China Beijing Information Science and Technology University School of Automation Institute of Artificial Intelligence Beijing 100083 China University of Science and Technology School of Intelligence Science and Technology Beijing 100083 China Shanghai Jiao Tong University Department of Automation Shanghai 200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai 200240 China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin 150001 China

This article presents a framework for quadrotors that integrate planning and control, which employs a heuristic depth-first search (HDFS) with data-driven model predictive control (MPC). The proposed framework intends to enable multiquadrotor systems to traverse cluttered environments containing obstacles and disturbances. The heuristic function enables quadrotors to identify a secure route in a timely manner. The heuristic function setup employed by HDFS results in a reduction in the number of rasters accessed, particularly in scenarios that are not labyrinthine. This consequently leads to an enhancement in computational speed for multiquadrotor systems when compared to the A* algorithm. Furthermore, data-driven MPC enhances the nominal model of the quadrotor by modeling the disturbance while tracking the desired states. Consequently, data-driven MPC is capable of attaining superior tracking precision in a disturbance environment when compared to MPC without data-driven. The transformation from the path to the desired states of the quadrotor is achieved through the utilization of B-splines and differential flatness. Simulations and experiments substantiate the efficacy of the proposed approach. © 1982-2012 IEEE.

关键词： Collision avoidance data-driven depth-first search model predictive control multiquadrotor systems

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Anisotropy of thermal transport in phosphorene: A comparative first-principles study using different exchange-correlation functional

arXiv

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arXiv 2021年

作者： Zhang, Fa Zheng, Xiong Wang, Huimin Ding, Liang Qin, Guangzhao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Hunan Key Laboratory for Micro-Nano Energy Materials & Device School of Physics and Optoelectronics Xiangtan University Hunan Xiangtan411105 China

Phosphorene, as a new type of two-dimensional (2D) semiconductor material, possesses unique physical and chemical properties, and thus has attracted widespread attention in recent years. With its increasing applications in nano/optoelectronics and thermoelectrics, a comprehensive study on its thermal transport properties is necessary. It has been concluded from previous studies that there exist vast difference and uncertainty in the theoretically predicted thermal conductivity, which is generally attributed to the selection of XC functional. However, there is no comprehensive investigation on this issue. In this paper, based on first-principles calculations using 12 different exchange-correlation (XC) functionals, the phonon transport properties of phosphorene are systematically studied by solving the Boltzmann transport equation (BTE). The results show noticeable differences in the phonon transport properties of phosphorene under different XC functionals. For instance, the thermal conductivity of phosphorene along the zigzag direction ranges from 0.51 to 30.48 Wm−1K-1, and that along the armchair direction ranges from 0.15 to 5.24 Wm−1K−1. Moreover, the anisotropy of thermal conductivity is between 3.4 and 6.9, which is fundamentally originated from the special hinge-like structure. This study conducts an in-depth analysis of phonon transport to reveal the effect and mechanism of different XC functionals for predicting thermal transport properties, which would provide a reference for future research on phosphorene and other novel materials. © 2021, CC BY.

关键词： Anisotropy

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An Approach for Multi-Objective Obstacle Avoidance Using Dynamic Occupancy Grid Map 17

An Approach for Multi-Objective Obstacle Avoidance Using Dyn...

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17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Liu, Yanjie Chen, Jiao Bai, Xinyu Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province China Sinopec International Business Co. Ltd. No. 22 North Chaoyang Gate Street Chaoyang District Beijing China

ISBN: (纸本)9781728164151

Path planning in dynamic environments is an important guarantee for mobile robots to complete navigation tasks safely. However, human motion is unpredictable, changing its speed or direction arbitrarily, and traditional dynamic obstacle avoidance strategies based on object detection require massive computing resources in the prediction step, which reduces the real time characteristics of the system. To address this question, we propose a dynamic obstacle avoidance framework. It defines the environment as a random dynamic system by using dynamic grid maps, and obtains the velocity of multiple objects with low delay under GPU parallel acceleration calculations. Naturally, we introduce the relative velocity into the artificial potential field function. By expanding the data structure of costmaps, the dynamic grid map is effectively connected with the local obstacle avoidance algorithm. Our approach reduces the detour time of the robot and improves the system security. © 2020 IEEE.

关键词： Mobile robots

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Design and simulation of an accelerometer allocation scheme for six-dimensional acceleration sensor

Design and simulation of an accelerometer allocation scheme ...

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Wu, Zhiwei Sun, Yongjun Ni, Fenglei Liu, Yiwei Liu, Hong Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province China China

ISBN: (纸本)9781728163215

In this paper, a novel spatial geometry of sixdimensional acceleration sensor(SDAS) is designed. And the sensor equation is calculated. The reliability of SDAS is improved by adding redundant line accelerometer. The GDOP(Geometric Dilution of Precision) index used in satellite navigation is introduced into SDAS for configuration evaluation. Compared with the classic cube configuration, the three indexes have improved significantly. The relationship between the output error of the SDAS and the installation error of the linear accelerometer is analyzed theoretically. Compared with the proposed layout structure using 12 accelerometers, it has obvious advantages. © 2019 IEEE.

关键词： Accelerometers

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Aeroengine remaining useful life prediction via integrating enhanced inverted transformer and spatiotemporal graph learning

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ISA Transactions 2025年

作者： Sun, Shilong Ding, Hao Zhao, Zida Zhou, Yu Wang, Dong Xu, Wenfu School of Robotics and Advanced Manufacturing College of Artificial Intelligence Harbin Institute of Technology Shenzhen China Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China

Accurate prediction of aeroengine Remaining Useful Life (RUL) is critical for ensuring flight safety, minimizing maintenance costs, and improving operational efficiency. This study proposes a novel model, the Fourier-Enhanced Inverted Transformer with Graph-Augmented Spatiotemporal Modeling (FIT-GSTM), to enhance RUL prediction performance. FIT-GSTM combines an inverted Transformer with a Spatiotemporal Graph Convolutional Network (STGCN) to effectively capture global spatiotemporal dependencies across multi-sensor data. To further enrich feature representation, the model incorporates Fast Fourier Transform (FFT) to extract frequency-domain information and fuses it with time-domain features, enhancing robustness to noise. Additionally, the integration of Memory Tokens and Reversible Instance Normalization (RevIN) strengthens the model's ability to retain long-term dependencies and adapt to heterogeneous data distributions. Experimental evaluations on the C-MAPSS dataset demonstrate that FIT-GSTM achieves superior RUL prediction accuracy and generalization compared to existing methods, highlighting its potential for real-world deployment in aeroengine health management. © 2025 ISA

关键词： Fast Fourier transforms

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