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14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023

作者： Zhang, Bo Liang, Shan Wang, Kai Key Laboratory of Networked Control Systems Shenyang Institute of Automation Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China College of Computer Science and Technology University of Chemical Technology Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350329988

Joint robots are widely used in various industries, such as aviation, aerospace, and automotive manufacturing. The performance degradation of servo motors can significantly affect the overall performance of the robots because of the core component of joint robots, and therefore, it is critical to detect and address servo motor failures promptly. In this study, we analyze some common causes and mechanisms of performance degradation in robot servo motors using the physics of failure analysis. We also discuss strategies for detecting and diagnosing faults using these mechanisms before the servo motors fail completely. © 2023 IEEE.

关键词： Servomotors

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A distributed deterministic help scheme to improve the system fault tolerance

A distributed deterministic help scheme to improve the syste...

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Proceedings of the Biannual World Automation Congress

作者： M.S. Mirian M.N. Ahmadabadi Control and Intelligent Processing Center of Excellence and AI and Robotics Laboratory Department of ECE University of Tehran Iran

This paper proposes some methods to improve the fault-tolerance in distributed systems specifically in deterministic situations by distributed decision-making and coordination. Providing a distributed system with fault tolerance is a feasible but hard problem due to the intrinsic aspects of such systems such as: independency, unpredictability and communication problem. A multi-agent system as an instance of distributed system, can handle different kinds of fault by using traditional fault tolerance techniques. But what focused in this paper are agent-based techniques. In fact proposed methods are based on agent-based help provision by distributed cooperation among helper agents. The helpers try to tune their normal roles such that they can undertake the faulty agents' tasks too. These helpers go through a sub-optimal task selection algorithm, to decide whom to help. It is important to remark that there is no explicit interaction; instead they coordinate their decisions implicitly by adopting the most appropriate task in terms of their speed, relative reliability and the task's criticality coefficient. Proposed ideas are tested on a DCS-like tested to improve its fault tolerance. The results illustrate the effectiveness of the approaches in comparison to the case of no help situation and the case of using purely redundant components.

关键词： Fault tolerant systems Multiagent systems control systems Distributed decision making Redundancy Power system reliability Process control intelligent control Artificial intelligence Testing

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Model-free Adaptive control based upon Diagonal Recurrent Neural Network

Model-free Adaptive Control based upon Diagonal Recurrent Ne...

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第27届中国过程控制会议（CPCC2016）

作者： Zengqiang Chen Junling Zhang Qinglin Sun College of Computer & Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University

Model-free control(MFC)method based on Diagonal Recurrent Neural Network(DRNN)is presented for aclass of nonlinear SISO *** control method makes DRNN as the controller,using dynamic error backpropagation algorithm(DBP... 详细信息

关键词： Model-free Adaptive control based upon Diagonal Recurrent Neural Network

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A fuzzy-neural-network-based visual feedback learning control for robot manipulators

A fuzzy-neural-network-based visual feedback learning contro...

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International Joint Conference on Neural Networks (IJCNN)

作者： Il Hong Suh Tae Won Kim Intelligent Control and Robotics Laboratory Department of Electronics Engineering Hanyang University Ansan Gyeonggi South Korea

A visual feedback learning control algorithm is proposed for a robot manipulator equipped with joint position servos employing fuzzy-membership-function-based neural networks (FMFNN), where weightings of FMFNN's are adjusted in such a way that the robot manipulator with an eye in hand is capable of not only tracking a moving object along the line of sight but also stopping in front of a static object, wherever it is. The training mechanisms of FMFNN are extended to be applied to the control of dynamic systems. To show the validity of the proposed algorithm, several numerical examples are illustrated for a robot manipulator equipped with position servos.< >

关键词： Feedback Robot control intelligent robots Manipulator dynamics Servomechanisms Neural networks control systems Computer vision Jacobian matrices Robot motion

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Validation of two-wire power line UAV localization based on the magnetic field strength

Validation of two-wire power line UAV localization based on ...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Goran Vasiljević Dean Martinović Matko Batoš Stjepan Bogdan Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems University of Zagreb Zagreb Croatia

ISBN: (数字)9781665405935

ISBN: (纸本)9781665405942

In this paper we extend our previous work on UAV localization based on the magnetic field strength. The method is based on a magnetic flux density distribution in vicinity of two very long, thin and parallel transmission lines. An UAV is equipped with 4 magnetometers, positioned so that obtained measurements give unique solution to an optimization problem used to find relative position and orientation of the UAV with respect to conductors. Several sets of experiments, undertaken on a laboratory setup, confirmed validity of the method for both solutions - analytical and numerical optimization. Obtained results, compared with high precision motion capture system, are within range of standard RTK positioning.

关键词： Location awareness Magnetic field measurement Power measurement Magnetometers Current measurement Wires Transmission line measurements

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Is There any Analogy Between Foot Stability and Dynamic Grasp?

Is There any Analogy Between Foot Stability and Dynamic Gras...

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2008 IEEE/RSJ International Conference on intelligent Robots and Systems, Pages 526-1042

作者： Adel Akbarimajd Majid Mili Ahmadabadi Robotics and AI Laboratory Control and Intelligent Processing Center of Excellence ECE Department University of Tehran Iran

ISBN: (纸本)9781424420575

Similarities between foot stability in single support phase of dynamic legged locomotion and dynamic grasp during nonprehensile carrying of an object on a palm are studied. Both foot stability and dynamic grasp conditions are driven mathematically. Then it is shown that these two conditions share the same basic dynamical concepts. It is also revealed that dynamic grasp and foot stability conditions have structurally the same equations when the palm -in object manipulation- and the ground -in legged locomotion- are horizontal. In this situation, parameters of the equations are very similar. It is demonstrated that the effects of violation of foot stability and dynamic grasp conditions are behaviorally the same. In addition to analytical discussions, some simulation examples in ADAMS are provided to validate the presented models and the results.

关键词： Foot Stability analysis Robots Legged locomotion Manipulator dynamics Robot kinematics Sufficient conditions

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An inverted pendulum model based humanoid gait generation using convex optimization

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Journal of Information and Computational Science 2010年第12期7卷 2529-2538页

作者： Xiong, Rong Sun, Yichao Chu, Jian Zhou, Changjiu State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310000 China Centre for Advance Robotics and Intelligent Control Singapore Polytechnic Singapore Singapore

Convex optimization has the advantages on solving the problems with hundreds of variables and thousands of constraints. However, traditional multi-body model based zero moment point (ZMP) formulation makes it impossible to introduce the convex optimization into humanoid gait generation because the constraint can not be transferred into convex. This paper derives a new ZMP formulation by combining the linear inverted pendulum model and the multi-body model in the representation of Lie group. With this new ZMP formulation, an instance of walking gait generation by using convex optimization is given. The experimental results show that the number of iterations involved in solving the problem is less than 10, which ensures the effectiveness and efficiency of using convex optimization to generate humanoid gait online. © 2010 Binary Information Press.

关键词： Convex optimization

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Ddos attack detection based on one-class svm in sdn 6th

Ddos attack detection based on one-class svm in sdn

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6th International Conference on Artificial Intelligence and Security,ICAIS 2020

作者： Zhao, Jianming Zeng, Peng Shang, Wenli Tong, Guoyu State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9789811581007

Software Defined Networking (SDN) is a new type of network architecture, which provides an important way to implement automated network deployment and flexible management. However, security problems in SDN are also inevitable. DDoS attack belongs to one of the most serious attack types, which is fairly common for today’s Internet. In SDN security fields, DDoS attack detection research has been received more and more attention. In this paper, a DDoS attack detection method based on one-class SVM in SDN is proposed, which provides a better detection accuracy. Furthermore, two new feature vectors, including middle value of flow table item’s duration and protocol data traffic percentage, are extracted to integrate into the item of 11 feature vectors. Additionally, basing on selection and construction method of the 11 feature vectors, a DDoS attack behavior model is established by using one-class SVM algorithm, and the self-adaptation genetic algorithm is designed to optimize the corresponding parameters of the Gaussian kernel of one-class SVM. The experimental results in SDN show that, the proposed new feature vectors are shown to more better detection accuracy, and the proposed method is more feasible by comparing with the BP neural network and RBF neural network algorithms under the same 11 features vectors. © Springer Nature Singapore Pte Ltd 2020.

关键词： Genetic algorithms

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Adaptive Block Elevation Mapping for Large-scale Scene

Adaptive Block Elevation Mapping for Large-scale Scene

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Zhou, Yang Zhu, Shiqiang Huang, Huang Li, Yuehua Gu, Jason The Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Hangzhou311100 China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou311100 China The Beijing Institute of Control Engineering Beijing100094 China The Beijing Research Institute Zhejiang Laboratory Beijing100094 China The Department of Electrical and Computer Engineering Dalhousie University HalifaxNSB3H 4R2 Canada

ISBN: (纸本)9781665481090

Dense map that contains the surrounding geometry and vision information of a robot is widely used for path planning, navigation, obstacle avoidance and other applications. Considering the performance of the processing unit mounted on the robot is limited, mapping algorithm has to make compromise by sacrificing speed and precision. It will be more challenging when the dense mapping scene is very large because the memory consumption will be greatly increased and the map is difficult to be extended if beyonding the initial map. To suppress the negative impact from the increased map scale, we proposed a novel block mapping approach to generate the dense map in large scale of scene. In this work, the elevation map is selected as the base dense map. The entire elevation map is segmented into numerous block maps of which size is much smaller than that of the entire map. The present moment of lidar and vision measurements are used to generate the local elevation map. The local elevation map is used to update block maps which are adaptively generated along the motion trajectory. A memory-disk interaction mechanism, which the block maps will be loaded to memory or saved to local disk when needed, is introduced. Our block mapping approach is tested on the KITTI datasets, and the results demonstrate that the mapping approach can stably operate in a large scale of scene with a much smaller consumption of memory. © 2022 IEEE.

关键词： Motion planning

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When measurements fail: using an interactive SLAM solution to fight bad odometry

When measurements fail: using an interactive SLAM solution t...

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IEEE Instrumentation and Measurement Technology Conference

作者： Robert Milijaš Juraj Oršulić Stjepan Bogdan Laboratory for Robotics and Intelligent Control Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

In this paper we use the underlying pose graph structure of graph SLAM to allow the user to inspect and intervene into the Simultaneous Localization and Mapping (SLAM) process. With post-processing the map by inserting custom constraints into the optimization problem, the user can improve the quality of the map obtained as the final SLAM result. We refer to this inspection and intervention process as interactive SLAM. The mathematical background, which allows such interventions, is laid out, and a software implementation is used to improve the quality of a map created at the Faculty of Electrical Engineering and Computing, University of Zagreb.

关键词： SLAM robotics Interactive SLAM supersonic low altitude missile robotics maps software implementation ELECTRICAL ENGINEERING odometry

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