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International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD

作者： Chengsi Liu Jibin Zou State Key Laboratory of Robotics and System Harbin Institute of Technology HIT Harbin China

This paper analyzed the impact of phase back electromotive force (back EMF) harmonics on torque of dual three phase permanent magnet synchronous motor (DTPPMSM) from the view of electromagnetic power, and proposed a torque ripple suppression fault-tolerant method for open-circuit fault of DTPPMSM. The proposed method can consider the phase back EMF harmonics, thus achieveing both minimum torque ripple and maximum average torque. The proposed method is verified by both finite element analysis (FEA) and prototype experiment.

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Experimental Study on Frog-inspired Swimming Robot Based on Articulated Pneumatic Soft Actuator

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Journal of Bionic Engineering 2020年第2期17卷 270-280页

作者： Jizhuang Fan Shuqi Wang Qingguo Yu Yanhe Zhu State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

This paper presents a frog-inspired swimming robot based on articulated pneumatic soft *** realize the miniaturization of the robot and enhance its environmental adaptability,combined with the advantages and characteristics of soft materials,an articulated pneumatic soft actuator is designed based on analysis of a frog's propulsion characteristics.A structural model is established to analyse the mechanical properties of the soft *** the goal of making full use of the driving torque of the actuator and enhancing the propulsion efficiency of the robot,the motion trajectories of each joint of the robot are *** on the trajectory planning,the control strategy of the soft actuator is determined to realize the frog-like swimming of the *** torso size after assembly is 0.175 m×0.100 m×0.060 m,which realizes the miniaturization of the frog-inspired *** the movement of the robot,the torso moves stably and flexibly,and can realize continuous linear and turning *** rationality of the structure and trajectory planning are verified by prototype experiments.

关键词： bionic robotic frog articulated pneumatic soft actuator trajectory planning prototype experiment

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The Application of Acceleration-Level Quaternion Interpolation in the Visual-Servoing Process 13

The Application of Acceleration-Level Quaternion Interpolati...

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13th International Conference on Computer and Automation Engineering, ICCAE 2021

作者： Zhao, Xiaoyu Liu, Yang Xie, Zongwu Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9780738132204

Visual servoing process is widely applied in robot control. In the visual servoing process, an interpolation of the robot end pose is necessary. In the interpolation, quaternion suffers a lot for the discontinuity in trajectory velocity and acceleration. In this paper, we propose an acceleration-level continuous interpolation method and apply it to visual servoing process. In the method, we make up use of the conversion between different rotation descriptors and achieve a smooth enough trajectory. Simulations and experiments are carried out to validate the method and the results show considerable performance. © 2021 IEEE.

关键词： Visual servoing

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Decoding Wrist and Hand Movement Using a Synergy-Driven, Variable Stiffness Musculoskeletal Model Under Different Loads

Decoding Wrist and Hand Movement Using a Synergy-Driven, Var...

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IEEE International Conference on robotics and Biomimetics

作者： Jiamin Zhao Yang Yu Xinjun Sheng Xiangyang Zhu State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China State Key Laboratory of Mechanical System and Vibration and the Meta Robotics Institute Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Myoelectric interfaces, which translate electromyography (EMG) signals into motor intentions, are extensively utilized in prosthetic control due to their intuitive nature. However, current methodologies extremely suffer from performance degradation under non-stationary EMG signals. Varying loads significantly alter muscle activation patterns, with variations in loading weights being a significant factor affecting performance. Conventional EMG-driven musculoskeletal models (MMs) demonstrate robustness across different loads but often neglect the influence of changes in muscle co-contraction levels induced by increased loads. To address this issue, we proposed an improved MM that integrated variable muscle and joint stiffnesses with synergy-based muscle activations into the muscle contraction dynamics. This model adapted to alterations in muscle co-contraction levels under diverse loads, allowing for robust estimation of hand and wrist movements without requiring additional training for different loads. Both offline and online experiments were conducted. The outcomes demonstrated that the proposed model significantly improved robustness and estimation accuracy compared to traditional envelopedriven and constant stiffness MMs. It maintained stable performance across different loads with training conducted solely under zero-load conditions, thereby reducing the training burden. This study presents a novel approach to enhance the reliability of EMG-based human-machine interfaces.

关键词： Training Wrist Adaptation models Accuracy Loading Estimation Muscles Robustness Electromyography Load modeling

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A New Recursive Composite Adaptive Controller for Robot Manipulators

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Space(Science & Technology) 2021年第1期2021卷 77-83页

作者： Jianfei Li Yaobing Wang Zhiyong Liu Xin Jing Chengwei Hu The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System EngineeringBeijing 100094China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

In this paper,a new recursive implementation of composite adaptive control for robot manipulators is *** investigate the recursive composite adaptive algorithm and prove the stability directly based on the Newton-Euler equations in matrix form,which,to our knowledge,is the first result on this point in the *** proposed algorithm has an amount of computation O(n),which is less than any existing similar algorithms and can satisfy the computation need of the complicated multidegree *** manipulator of the Chinese Space Station is employed as a simulation example,and the results verify the effectiveness of this proposed recursive algorithm.

关键词： Robot manipulators robot

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A Genderless Docking Mechanism with Passive Locking and High Rotation Misalignment Tolerance for Modular Space Robots

A Genderless Docking Mechanism with Passive Locking and High...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Chen, Jian Wen, Xiaodong Wang, Hao Gong, Wei Deng, Zongquan Yu, Haitao Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Tianjin Institute of Aerospace Mechanical and Electrical Equipment Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology Tianjin China

ISBN: (纸本)9781665481090

Modular robots are gaining increasing attention in space services. The docking mechanism plays a critical role in performing self-healing and self-reconfiguration of modular robots. It is beneficial for the docking mechanism to operate with high efficiency, homogeneity and high misalignment tolerances. To meet these requirements, this paper presents a novel genderless docking mechanism. The construction of the docking mechanism is designed with features of passive locking and single-sided electromagnetic unlocking. To demonstrate the advantages of passive locking, the working processes of the axial and circumferential locking mechanisms are described in detail. Based on theoretical calculations and simulations, it is shown that the docking mechanism can provide fast connections or disconnections with a degree of translational and angular misalignment tolerances. This docking mechanism is intended for future applications in modular space robots or unstructured environment exploration robots. © 2022 IEEE.

关键词： Modular robots

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Optimized Design of a Haptic Unit for Vibrotactile Amplitude Modulation

Optimized Design of a Haptic Unit for Vibrotactile Amplitude...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Huang, Jingchen Fang, Yun Guo, Weichao Qiao, Zhijian Sheng, Xinjun School of Mechanical Engineering Meta Robotics Institute Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665481090

Communicating information to users is a crucial aspect of human-machine interaction. Vibrotactile feedback encodes information into spatiotemporal vibrations, enabling users to perceive tactile sensations. It offers advantages such as lightweight, wearability, and high stability, with broad applications in sensory substitution, virtual reality, education, and healthcare. However, existing haptic unit designs lack amplitude modulation capabilities, which limits their applications. This paper proposed an optimized design of the haptic unit from the perspective of vibration amplitude modulation. A modified elastic model was developed to describe the propagation and attenuation mechanisms of vibration in the skin. Based on the model, two types of hierarchical architectural design were proposed. The design incorporated various materials arranged in multiple layers to amplify or attenuate the vibration amplitude as it traveled through the structure. An experimental platform was built to evaluate the performance of the optimized design. © 2024 IEEE.

关键词： Virtual reality

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Dynamic Object Removal of Static 3D Point-Cloud Map Building in Casualty Collection Point

Dynamic Object Removal of Static 3D Point-Cloud Map Building...

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International Conference on Control, Automation, robotics and Vision (ICARCV)

作者： Haidong Wang Wanlei Li Yijie Dai Xiaogang Xiong Yunjiang Lou State Key Laboratory of Robotics and System School of Mechanical Engineering and Automation Harbin Institute of Technology ShenZhen Shenzhen China

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

Understanding the environment is crucial for the autonomous navigation of vehicles. Accurately identifying and removing dynamic objects that cause occlusions and noisy pose issues is crucial to the task. The casualty collection point (CCP) is a designated location for treating casualties during disasters. These sites are commonly located in open fields to ensure that the injured receive timely and appropriate care. Therefore, the construction of a 3D map in CCP may encounter additional challenges. In this paper, we introduces a novel algorithm that integrates a learning-based multi-object detection network with a Kalman Filter tracking framework to remove dynamic object traces from the 3D map building, particularly in CCP scenarios, and it redirects attention on the velocity attribute of dynamic objects at the object-level scale. Additionally, we contribute a new dataset specifically designed for the CCP scenario. Comparative experiments conducted on the SemanticKITTI dataset and CCP dataset show that our proposed method achieves the state-of-the-art performance in removing traces of dynamic objects on 3D Map. Dataset is available at https://***/haidongwang96/ccp_dataset.

关键词： Point cloud compression Three-dimensional displays Simultaneous localization and mapping Heuristic algorithms Buildings Object detection Kalman filters Object recognition Noise measurement Vehicle dynamics

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Smart Plant Application of Autonomous Decentralized systems with the Introduction of Edge Nodes 15

Smart Plant Application of Autonomous Decentralized Systems ...

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15th International Conference on Advanced Computer Theory and Engineering, ICACTE 2022

作者： Wang, Jingyang Zou, Tao Yang, Zhijia Wang, Hongrui Key Laboratory Of Networked Control System Institutes For Robotics And Intelligent Manufacturing Shenyang Institute Of Automation Chinese Academy Of Sciences Shenyang China Guangzhou University College Of Mechanical And Electrical Engineering Guangzhou China State Key Laboratory Of Robotics Key Laboratory Of Networked Control System Institutes For Robotics And Intelligent Manufacturing Shenyang Institute Of Automation Chinese Academy Of Sciences Shenyang China University Of Chinese Academy Of Sciences Beijing China

ISBN: (数字)9781665481809

ISBN: (纸本)9781665481809

This paper illustrates the application of an autonomous decentralized system introducing edge nodes in a smart factory. The nodes include atomic nodes, the most fundamental autonomic units constituting an autonomous decentralized system that are capable of independently extracting information from the data field and processing that information internally and simultaneously transmitting the processing results and other internal information to the data field proactively in a broadcast mode, where the transmitted information circulates in the data field. The group-based data field enables the sharing of information by atomic nodes. Grouped management nodes are the managers of the whole group, and edge nodes are the terminal intelligent control units of an intelligent autonomous decentralized system. Improvements in system decentralization, fault tolerance characteristics and flexibility of the system can lead to homogenization, autonomous control and autonomous coordination in complex manufacturing environments, as well as excellent online fault tolerance, online expansion and online maintenance of the system. In addition, it enhances the ever-changing and evolving control requirements by deconstructing the complexity in the system. © 2022 IEEE.

关键词： Fault tolerance

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Mag-Boost Mechanism for High-Power Ocean Wave Energy Harvesting

SSRN

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SSRN 2024年

作者： Tang, Tianyi Li, Yunfei Huang, Manjuan Mei, Mingqi Wang, Zizhao Zha, Fusheng Sun, Lining Liu, Huicong School of Mechanical and Electrical Engineering Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University Suzhou215123 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

Ocean wave energy is a highly anticipated renewable energy source. However, due to the ultra-low frequency and random characteristics of ocean waves, efficient and high-power energy harvesting has been a great challenge. By ingeniously leveraging the phenomenon of sudden magnetic-torque variation in orthogonal magnetic fields, this paper proposes an innovative Mag-Boost mechanism, which is capable of converting ultra-low excitation below 1Hz to high-frequency oscillations of power-magnet more than 50Hz without direct contact. The energy conversion efficiency of this mechanism can be as high as 89.3%. By integrating four Mag-boost units into a circular array, a high-power wave energy harvester (WEH) with ultra-low frequency response capabilities has been proposed. At a frequency of 1Hz and an inclination angle of 30°, the WEH demonstrated a high output performance with power of 1.79W and power density of 1.88kW/m³, which is an order of magnitude higher than those of the previous reported ones. During the off-shore test at Yellow Sea, the WEH reached the peak open-circuit voltage of 10V, ensuring completely independent and stable power supply for wireless temperature and humidity sensors. Furthermore, the Mag-Boost mechanism also shows considerable potential for harvesting other forms of low-frequency environmental energy, including wind, vibration, and human kinetic energy. © 2024, The Authors. All rights reserved.

关键词： Water waves

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