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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Yan, Zhen Yu, Haitao Xia, Jifeng Tian, Baolin Gao, Haibo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781665481090

Ground resonance (GR) is a potentially destructive mechanical instability involving the coupling of the regressive rotor mode to the fuselage motion. Vibration can be disastrous if measures are not taken in time to mitigate vibrations. This paper presents a study on the use of adaptive landing gear to eliminate GR in helicopters. A GR model considering adaptive landing gear is established, and the dynamic characteristics of the system are analyzed. In this paper, the Linear Quadratic Regulator (LQR) controller is applied to suppress the GR. The setting of the weighting matrix coefficients directly determines the effect of the control system. Therefore, a design method of LQR weighting matrix based on multi-objective genetic algorithm is proposed, which enables the control system to meet multiple performance indicators concurrently. Numerical simulations of GR suppression were performed for the rotor speed range where GR is most likely to occur. The results show that even if the rotor system is not equipped with any dampers, the suppression of helicopter GR can be achieved by using the control strategy proposed in this paper to control the adaptive landing gear. Therefore, the application of adaptive leg landing gear to helicopters can provide some ideas to eliminate GR. © 2022 IEEE.

关键词： Multiobjective optimization

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3D-DEM Simulation and Post-Process Method of Wheel-Terrain Interaction for Planetary Rovers 11

3D-DEM Simulation and Post-Process Method of Wheel-Terrain I...

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11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle systems, ISTVS 2022

作者： Lan, Qingning Wang, Zhengyin Yang, Huaiguang Ding, Liang Gao, Haibo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781942112532

Understanding the physical essence of wheel-terrain interaction is critical to establish the terramechanics model. The discrete element method (DEM) can be used to simulate a series of wheel-terrain interaction quickly and efficiently, which can be convenient to analyze the physical information of the interaction. This paper simulates the interaction of slipping wheel running on soil simulant using 3D-DEM. The information of particles and wheel is obtained from the wheel-terrain interaction. The consequent velocity and stress field of soil simulant is obtained by smoothening the velocity of discrete soil particles and contact interaction force between particles. A method to calculate the fraction field of soil simulant in the particle bed with boundary is proposed to obtain the consequent fraction field distribution. The simulation results are consistent with experimental results. This study can provide instructions for the establishment of physical terramechanics model. Copyright © 2022 by the International Society for Terrain-Vehicle systems. All rights reserved.

关键词： Landforms

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The controller architecture of dexterous hand with switchable coupling mechanism

The controller architecture of dexterous hand with switchabl...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Liu, Ziqi Jiang, Li Li, Wangyang Cheng, Ming Wu, Xiaoqiao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150008 China

ISBN: (纸本)9781665481090

This work investigates the design of the sensor system and control system for the coupled adaptive multi-fingered dexterous hand with actively switchable modalities. Considering the specific mechanical structure characteristics of the dexterous hand, a master-slave distributed control system design approach is adopted to integrate the sensor system and control system inside the finger, which completes the mechatronic integration of the whole hand. It can realize the modularity at the finger level and simplify the system complexity. This paper also introduces a fuzzy adaptive PID control method and develops the control strategy in active switchable mode. The experimental results show that the controller architecture can adapt to the changes in the institutional characteristics of the system when the finger switches between coupled and coupled adaptive states. It can complete the high-precision tracking of the target trajectory, achieve accurate position control, and have superior real-time performance. © 2022 IEEE.

关键词： Controllers

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An overview on mobile manipulator in nuclear applications∗

An overview on mobile manipulator in nuclear applications∗

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2022 IEEE International Conference on Real-Time Computing and robotics, RCAR 2022

作者： Ou, Yue Xu, Biying Cai, Hegao Zhao, Jie Fan, Jizhuang Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin150001 China

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

Nuclear power is worldwide popular and keeps rapidly growing, but manual operation in nuclear facilities is challenging by safety and workload issues. Mobile manipulators are ideal to replace human works in nuclear applications. This article reviews the development of mobile manipulators in nuclear applications over time. Then, we summarize three tasks for robots in nuclear applications and corresponding requirements, followed by an overview of the design of selected specific models. Based on the existing design, we propose the challenges for future mobile manipulators in nuclear applications. © 2022 IEEE.

关键词： Manipulators

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Terrain Classification Using Mars Raw Images Based on Deep Learning Algorithms with Application to Wheeled Planetary Rovers 11

Terrain Classification Using Mars Raw Images Based on Deep L...

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11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle systems, ISTVS 2022

作者： Guo, Junlong Zhang, Xingyang Dong, Yunpeng Xue, Zhao Huang, Bo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781942112532

Scene information plays a crucial role in motion control, attitude perception, and path planning for wheeled planetary rovers (WPRs). Terrain recognition is the fundamental component of scene recognition. Due to the rich information, visual sensors are usually used in terrain classification. However, teleoperation delay prevents WPRs from using visual information efficiently. End-to-end learning method of deep learning (DL) that does not need complex image preprocessing was proposed to deal with this issue. This paper first built a terrain dataset (consists of loose sand, bedrock, small rock, large rock, and outcrop) using real Mars images to directly support You Only Look Once (YOLOv5) to test its performance on terrain classification. Because the capability of end-to-end training scheme is positively correlated with dataset, the performance of YOLOv5 can be significantly improved by exploiting orders of magnitude more data. The best combination of hyperparameters and models was achieved by slightly tuning YOLOv5, and data augmentation was also applied to optimize its accuracy. Furthermore, its performance was compared with two other end-to-end network architectures. Deep learning algorithms can be used in the future planetary exploration missions, such as WPRs autonomy improvement, traversability analysis, and avoiding getting trapped. Copyright © 2022 by the International Society for Terrain-Vehicle systems. All rights reserved.

关键词： Convolutional neural networks

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Flapping-Wing Robot Achieves Multi-Domain Locomotion Using Transformable Wheel Mechanism

Flapping-Wing Robot Achieves Multi-Domain Locomotion Using T...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Chai, Xiangxiao Wang, Shihua Pan, Erzhen Xu, Wenfu Shenzhen518055 China Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong Shenzhen518055 China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin150001 China

ISBN: (纸本)9781665481090

The difficulty of moving from aquatic to aerial environment is one of the major challenges limiting the development of trans-medium multi-domain locomotion vehicles. In this paper, the concept of the transformable wheel, a feature commonly found in autonomous land vehicles (AL V s), is introduced into the design. Additionally, a flapping-wing robot equipped with multi-domain locomotion capability, which can not only realize aerial flight and surface navigation on water, but also ascend from water to land for subsequent takeoff is presented. The paper first introduces the system design of the robot and proposes the corresponding multi-domain locomotion strategy. Subsequently, the design of the transformable wheel mechanism is described in detail and the force analysis for the water-exit is conducted. The feasibility of the proposed strategy is experimentally validated, confirming the prototype's multi-domain locomotion performance finally. This research explores the feasibility of introducing the transformable wheel mechanism into trans-medium multi-domain vehicle platforms and provides a design example. © 2024 IEEE.

关键词： Machine design

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An adjustable time slice process scheduling algorithm based on feature similarity clustering 4

An adjustable time slice process scheduling algorithm based ...

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4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Xiao, Gong Liang, Ding State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China China Software Testing Center Beijing100000 China

ISBN: (纸本)9781510666412

In order to improve the efficiency of the operating system scheduler, this paper proposes an adjustable time slice process scheduling algorithm ATSPS (Adjustable Time Slice Process Scheduling) based on feature similarity clustering, which can reduce the cost of the operating system process scheduling time, reduce the process turnaround time, and improve the process execution efficiency. ATSPS forms different process clusters by clustering the characteristics of process burst time, time slice, weight, and context switching times. It uses the same specification time slice for each type of process cluster. Through queue scheduling adjustment, it accelerates the execution efficiency of computationally intensive processes, reduces the number of contexts switching times caused by the expiration of time slice, and saves scheduling time. The scheduling process of robot grabbing program in the operating system is simulated by MATLAB, and the ready queue, blocking queue and execution queue of the operating system are simulated. The robot grabbing program is simulated, including visual process, force control process and posture process. ATSPS is compared with five classical scheduling algorithms. The experimental results show that on the scheduling criteria of three CPU scheduling algorithms, namely, waiting time, turnaround time and context switching times, ATSPS algorithm reduces the time cost of process scheduling, realizes the real-time scheduling of operating system process, and provides guarantee for the real-time control of robot. © 2023 SPIE.

关键词： Scheduling algorithms

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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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A Sample Repetitive Manipulation Mechanism (SRMM) for Lunar Regolith In-Situ Analysis: Design and Validation

A Sample Repetitive Manipulation Mechanism (SRMM) for Lunar ...

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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Liu, Yi Tang, Junyue Liu, Yafang Ma, Gongbo Sun, Feng Li, Ye Jiang, Shengyuan Shenyang University of Technology Shenyang China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Beijing Institute of Spacecraft System Engineering Beijing China Beijing China

ISBN: (纸本)9798350325706

To exactly detect the water ice of the South Pole of the moon, a lunar regolith in-situ analysis payload deploying a mass spectrometer is proposed for China future lunar exploration missions. In order to receive the lunar regolith sample from a robotic arm with a soil sampler and transfer it into a furnace for further analysis, a sample manipulation mechanism is required during the above work flow. To solve the problems of adapting the sampler's docking accuracy, receiving and transferring two different types of lunar soil sample under times of in-situ analysis, etc., a sample repetitive manipulation mechanism (SRMM) is proposed in this paper. By using a floating adjustable docking components and a flexible hopper, two types of encapsulated regolith sample and bulk material sample can be received with minimal sample loss, respectively. In order to receive and transfer two types of samples multiple times, two sample receiving methods have been designed that can be repeatedly transferred. A worm and worm wheel combined with a ball screw is designed in SRMM. To verify the above mechanism design, validation experiments were conducted. It indicates that this novel SRMM can be deployed in the future mission after further environmental tests. © 2023 IEEE.

关键词： Lunar exploration Repeated transfer Sample type sampler's docking sealing force

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