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2020 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2020

作者： Kong, Minxiu Wang, Rundong Cheng, Yanchun Yang, Jubo School of Mechatronics Engineering Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781450372022

With the increasing complexity of manufacturing process, the ability of a single robot is not enough for the current diversified production environment and tasks, so the research on multi-robot technology is increasingly important. This article selects the most widely used superposition cooperative dual robot as the object, studies a base-based calibration algorithm based on the space common target coordinate system, and then establishes the trajectory constraint relationship of the dual robot on this basis, which provides theoretical basis for teaching work. Finally, the correctness of the algorithm is verified by simulation software. © 2020 ACM.

关键词： Industrial robots

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Design and Analysis of a Drive and Perception Integration Manipulator for Spinal Surgery

Design and Analysis of a Drive and Perception Integration Ma...

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Mechatronics and robotics Engineering (ICMRE), International Conference on

作者： Lunan Wu Zhijiang Du Hongjian Yu Jiancheng Wang State Key Laboratory of Robotics and System Harbin Institute of Technology (HIT) Harbin China

ISBN: (数字)9781665414890

ISBN: (纸本)9781665430531

This paper presents the design of a hybrid manipulator for spinal surgery which has a feature of drive and perception integration. The parallel part of the robot which controls position and posture of the terminal is based on a two-level cross slide structure with an additional serial end effector for the axial feed. The series part which controls the feed of surgical tool is driven by a brushless motor through a leadscrew nut. The dexterity of robot is evaluated through calculating the position and posture condition number. The cross slide is driven by a synchronous belt and the corresponding driving force is measured by sensitive elements attached on the fixed structure of idler wheels. Meanwhile, driving force of the feeding structure is obtained with an improved micro force sensor. Finally, linearity of these sensors is measured to test the reliability of design.

关键词： Medical robotics Force Surgery Robot sensing systems Belts Sensors Robots

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Natural Gas Load Forecasting Based on Multi-Stage Model Identification

Natural Gas Load Forecasting Based on Multi-Stage Model Iden...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Pengbin Zhang Hongrui Wang Kunpeng Xing Mingzhe Yuan State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China GUANGZHOU INSTITUTE OF INDUSTRIAL INTELLIGENCE Guangzhou China China Nuclear Power Engineering Co. Ltd. Shenzhen China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

Natural gas load forecasting is crucial for the safe operation of urban natural gas. Based on the system identification method, the short-term natural gas load forecasting is studied in the paper. Employing a multi-stage identification framework, the initial values of the model parameters using the least squares and the instrumental variables method, while the model parameters are further optimized by the prediction error method to improve the accuracy of the model identification. The proposed method is validated by the simulation based on the public natural gas data in the U.S., demonstrating the algorithm's effectiveness in forecasting the daily natural gas load effectively.

关键词： Load forecasting Simulation Load shedding Predictive models Prediction algorithms system identification Reliability Forecasting Natural gas Load modeling

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Hitchhiker: A Quadrotor Aggressively Perching on a Moving Inclined Surface Using Compliant Suction Cup Gripper

arXiv

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arXiv 2022年

作者： Liu, Sensen Wang, Zhaoying Sheng, Xinjun Dong, Wei The State Key Laboratory of Mechanical System and Vibration Robotics Institute School of Mechanical and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China

Perching on the surface of moving objects, like vehicles, could extend the flight time and range of quadrotors. Suction cups are usually adopted for surface attachment due to their durability and large adhesive force. To seal on a surfaces, suction cups must be aligned with the surface and possess proper relative tangential velocity. However, quadrotors' attitude and relative velocity errors would become significant when the object surface is moving and inclined. To address this problem, we proposed a real-time trajectory planning algorithm. The time-optimal aggressive trajectory is efficiently generated through multimodal search in a dynamic time-domain. The velocity errors relative to the moving surface are alleviated. To further adapt to the residual errors, we design a compliant gripper using self-sealing cups. Multiple cups in different directions are integrated into a wheel-like mechanism to increase the tolerance to attitude errors. The wheel mechanism also eliminates the requirement of matching the attitude and tangential velocity. Extensive tests are conducted to perch on static and moving surfaces at various inclinations. Results demonstrate that our proposed system enables a quadrotor to reliably perch on moving inclined surfaces (up to 1.07m/s and 90◦) with a success rate of 70% or higher. The efficacy of the trajectory planner is also validated. Our gripper has larger adaptability to attitude errors and tangential velocities than conventional suction cup grippers. The success rate increases by 45% in dynamic perches. Copyright © 2022, The Authors. All rights reserved.

关键词： Grippers

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Analysis of Bifurcation and Chaotic Behavior of the Micro Piezoelectric Pipe-Line Robot Drive system with Stick - Slip Mechanism

SSRN

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SSRN 2023年

作者： Xing, Jichun Ning, Chao Zhi, Yuan Howard, Ian School of Mechanical Engineering Yanshan University Qinhuangdao066004 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China School of Civil and Mechanical Engineering Curtin University Perth6001 Australia

Pipeline robots using the conventional driving mode have encountered a bottleneck in miniaturization. To address this problem, a micro piezoelectric pipeline robot based on the inertia stick-slip driving principle is proposed in this paper. The robot is well suited to the inspection needs of micro pipes. However, undesirable design parameters found during the structural optimization phase can lead to unstable operation and reduced load capacity of the robot, and can even cause the drive system to stop with chaotic behavior. Therefore, the nonlinear dynamics model of the four degree of freedom discrete system of the pipeline robot is established. The Runge-Kutta method is used to solve the dynamic response of each nonlinear subsystem. The nonlinear dynamical behavior of the system is analyzed through the bifurcation diagram, time domain diagram, phase diagram, Poincaré map and power spectrum diagram of each subsystem response. The stable operation intervals of the machine and electrical parameters in the drive system are given, and the conditions for the occurrence of chaotic behavior are determined. This research can help to determine and optimize the structural parameters of the piezoelectric stick-slip pipeline robot, thus avoiding chaotic behavior and ensuring that the robot maintains good operational performance. © 2023, The Authors. All rights reserved.

关键词： Stick-slip

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Perching on Moving Inclined Surfaces using Uncertainty Tolerant Planner and Thrust Regulation

arXiv

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arXiv 2022年

作者： Liu, Sensen Hu, Wenkang Wang, Zhaoying Dong, Wei Sheng, Xinjun The State Key Laboratory of Mechanical System and Vibration Robotics Institute School of Mechanical and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China

Quadrotors with the ability to perch on moving inclined surfaces can save energy and extend their travel distance by leveraging ground vehicles. Achieving dynamic perching places high demands on the performance of trajectory planning and terminal state accuracy in SE(3). However, in the perching process, uncertainties in target surface prediction, tracking control and external disturbances may cause trajectory planning failure or lead to unacceptable terminal errors. To address these challenges, we first propose a trajectory planner that considers adaptation to uncertainties in target prediction and tracking control. To facilitate this work, the reachable set of quadrotors’ states is first analyzed. The states whose reachable sets possess the largest coverage probability for uncertainty targets, are defined as optimal waypoints. Subsequently, an approach to seek local optimal waypoints for static and moving uncertainty targets is proposed. A real-time trajectory planner based on optimized waypoints is developed accordingly. Secondly, thrust regulation is also implemented in the terminal attitude tracking stage to handle external disturbances. When a quadrotor’s attitude is commanded to align with target surfaces, the thrust is optimized to minimize terminal errors. This makes the terminal position and velocity be controlled in closed-loop manner. Therefore, the resistance to disturbances and terminal accuracy is improved. Extensive simulation experiments demonstrate that our methods can improve the accuracy of terminal states under uncertainties. The success rate is approximately increased by 50% compared to the two-end planner without thrust regulation. Perching on the rear window of a car is also achieved using our proposed heterogeneous cooperation system outdoors. This validates the feasibility and practicality of our methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Trajectories

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A Method for Measurement of Workpiece Form Deviations Based on Machine Vision

SSRN

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SSRN 2022年

作者： Zhang, Wei Han, Zongwang Li, Yang Rong, Weibin Zheng, Hongyu Cheng, Xiang School of Mechanical Engineering Shandong University of Technology Zibo255000 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China

Machine vision has been studied for measurements of workpiece form deviations due to its ease for automation. However, the measurement accuracy limits its wide implementation in industrial applications. In this study, a method based on machine vision for measurement of straightness, roundness, and cylindricity of a workpiece is presented. A subsumed line search algorithm and an improved particle swarm optimization algorithm are proposed to evaluate the straightness and roundness deviations of the workpiece. Moreover, an image evaluation method of cylindricity deviation by the least square fitting of circle’s center coordinates is investigated. An image acquisition system incorporating image correction and sub-pixel edge positioning technology is developed. Performance of the developed system is evaluated against the measurement results of the standard cylindricity measuring instrument. The differences in measurement of straightness, roundness, and cylindricity are -4.69μm, 3.98μm, and 5.33μm, respectively. The proposed method would provide a viable industrial solution for measurement of workpiece form deviations. © 2022, The Authors. All rights reserved.

关键词： Computer vision

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Lower Limb Rehabilitation Motion Angle Measurement Based On Deep Learning YOLOv3 Model 2

Lower Limb Rehabilitation Motion Angle Measurement Based On ...

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2021 2nd International Conference on Machine Learning and Computer Application, ICMLCA 2021

作者： Yang, Yunlong Wang, Liancheng Yao, Yufeng He, Chenxi Yin, Hesheng Weihai Furui Robotics Co. Ltd Weihai China Tianzhi Institute of Innovation and Technology Weihai Economic and Technological Development Zone Weihai China Weihai China State Key Laboratory of Robotics Harbin Institute of Technology System Department of Mechanical Engineering Harbin China

ISBN: (纸本)9783800757398

The aging of the population and the high incidence of hemiplegia have led to an increasing demand for easy-to-use rehabilitation training. The feedback sensing system which can measure and analyze the lower limb rehabilitation motions is highly significant for improving the rehabilitation outcome. Computer vision-based human motion angle measurement has attracted significant interest. This study aims to measure and analyze the lower limb motion angle in the sagittal plane with a single RGB camera. This paper proposes a method for extracting and monitoring of the lower limb marker points based on YOLOv3 and DarkNet-53 convolutional neural networks, and optimizes the pixel coordinates of the target point based on Kalman. The measurement accuracy of the proposed method is tested by JACO robotic arm, and the test shows that the standard deviation (SD) of the measurement is less than 0.5°. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Neural networks

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Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment 1

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17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022

作者： Liu, Kaibo Zheng, Wangli Min, Huasong Lin, Yunhan School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Hubei Wuhan430065 China State Grid Electric Power Research Institute Jiangsu Nanjing211106 China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Hubei Wuhan430081 China

ISBN: (数字)9789819915491

ISBN: (纸本)9789819915484

In the application scenario of robot autonomous tasks, the robot needs to be able to complete calibration online and automatically to achieve self-maintenance, which differs from traditional robot hand-eye calibration in that the traditional robot hand-eye calibration requires a dedicated calibration board to assist offline completion. Aiming at the problem that the existing self-calibration methods cannot be optimized as a whole, which leads to low accuracy and instability of the solution, a multi-stage objective function optimization self-calibration algorithm is proposed, which describes the solution of hand-eye self-calibration as a minimization objective function problem involving multiple stages. An optimization method based on the minimization of re-projection error is designed to compensate for the results, which uses an efficient Oriented fast and rotated brief (ORB) feature extraction algorithm and introduces a scoring mechanism to retain more correct matching points in the feature matching stage. Two different types of experiments were designed to validate our method. One is a single camera dataset experiment, which shows that our method is more accurate and robust than the existing self-calibration method;the other is an application platform experiment, which verifies the feasibility and availability of our method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Calibration

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Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks with Tree Topologies

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2354-2369页

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Northwest A and F University College of Information Engineering Yangling712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

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