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检索条件"机构=Laboratory of Intelligent Control and Robotics"

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Multiple Mobile Robots Map Building Based on DSmT

Multiple Mobile Robots Map Building Based on DSmT

引用

IEEE Conference on robotics, Automation and Mechatronics

作者： Peng Li Xinhan Huang Min Wang Xiangjin Zeng Intelligent Control and Robotics Laboratory Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.

关键词： Mobile robots Buildings Multirobot systems Sonar applications Sensor fusion Sensor phenomena and characterization Sensor systems and applications System performance Mobile communication Real time systems

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Advances and Challenges in Large Model Compression: A Survey 24

Advances and Challenges in Large Model Compression: A Survey

引用

2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence, DEAI 2024

作者： Xu, Yingying Song, Chunhe Sun, Yong Yu, Shimao State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798400717147

With the development of computer technology, large-scale models have gradually evolved from early simple algorithms to today's complex deep neural networks with huge parameter scale and high computational complexity. These large-scale models have greatly advanced the artificial intelligence technology, which has realized revolutionary progress in the fields of image, speech, text and so on. However, the computational and storage requirements of large-scale models are also growing rapidly, which seriously constrains their deployment and application in computing resource-constrained environments. In order to solve this problem, model compression technology has emerged and has been greatly developed. In this paper, we systematically review the key technologies, application scenarios, challenges and future directions of large-scale model compression from the perspective of model compression technology. Our work aims to provide practitioners and researchers with detailed references on the development of the technology, and emphasizes the important role of model compression technology in promoting the development of lightweight artificial intelligence. © 2024 Owner/Author.

关键词： Deep neural networks

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A Framework for Automatic Identification of Neural Network Structural Redundancy Based on Reinforcement Learning 5

A Framework for Automatic Identification of Neural Network S...

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5th International Conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Wu, Tingting Song, Chunhe Zeng, Peng State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510662520

The increasing structure of neural networks makes it difficult to deploy on edge devices with limited computing resources. Network pruning has become one of the most successful model compression methods in recent years. Existing works usually compress models by removing unimportant filters based on the importance. However, the importance-based algorithms tend to ignore the parameters that extract edge features with small criterion values. And recent studies have shown that the existing criteria rely on norm and lead to similar model compression structures. Aiming at the problems of ignoring edge features and manually specifying the pruning rate in current importance-based model pruning algorithms, this paper proposes an automatic recognition framework for neural network structure redundancy based on reinforcement learning. First, we perform cluster analysis on the filters of each layer, and map the filters into a multidimensional space to generate similar sets with different functions. We then propose a criterion for identifying redundant filters within similar sets. Finally, we use reinforcement learning to automatically optimize the cluster dimension, and then determine the optimal pruning rate for each layer to reduce the performance loss caused by pruning. Extensive experiments on various benchmark network architectures and datasets demonstrate the effectiveness of our proposed framework. © 2023 SPIE.

关键词： Reinforcement learning

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Robust synchronizing motion control of twin-servo systems based on network modeling

Robust synchronizing motion control of twin-servo systems ba...

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IEEE Conference on Decision and control

作者： Bong Keun Kim Wan Kyun Chung Il Hong Suh Robotics & Bio-Mechatronics Laboratory Pohang University of Science and Technology South Korea Intelligent Control & Robotics Laboratory Hanyang University South Korea

ISBN: (纸本)0780366387

In this paper, a robust control method for synchronizing motions of a twin-servo system is proposed. Using the correspondence between the mathematical modeling and the circuit representation, a network representation of twin-servo system is proposed. And a stabilizing control input is designed based on robust internal-loop compensator for the separate system in the presence of uncertainty and disturbance. Skew motion compensating control input is also designed to maintain the synchronizing motion during high speed motion. The stability of the whole closed-loop system is proved based on passivity theory. Through experiments using a semiconductor chip mounting device, the performance of the proposed method is evaluated.

关键词： Robust control Motion control Adaptive control control systems Uncertainty intelligent robots Stability analysis Damping Biomechatronics intelligent control

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Research and Implementation of Industrial Real-Time Ethernet Scheduling Method Based on Time Slot Reuse 5

Research and Implementation of Industrial Real-Time Ethernet...

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5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024

作者： Gang, Mingxu Yan, Bingjun Hu, Bo Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes For Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350385557

To improve the operation efficiency and real-time scheduling capability of existing industrial control network systems, based on the existing industrial real-time Ethernet communication protocol technology, an industrial real-time Ethernet scheduling method based on time slot reuse is proposed. This method adopts the time-division multiplexing strategy, decomposes the continuous time into different time slots, configures the data of different types of nodes to be transmitted in their respective time slots, uses the peak shift clock synchronization method and timer trigger task mechanism to improve the real-time communication, and uses the time slot multiplexing mechanism to improve the data transmission efficiency;Finally, a test platform is built to verify the proposed method. The experimental results show that the proposed method has high clock synchronization accuracy and real-time scheduling capability. © 2024 IEEE.

关键词： Synchronization

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A Charge Density Model of Silicon-nanowire GAA MOSFET Incoroperating the Source-drian Tunneling Effect for IC Design

A Charge Density Model of Silicon-nanowire GAA MOSFET Incoro...

引用

2021 International Symposium on Computer Technology and Information Science, ISCTIS 2021

作者： Cheng, He Zhang, Chao Liu, Tiefeng Xie, Chuang Yang, Zhjia Zhang, Zhipeng Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665414418

One numerical compact model for one-dimensional electron charge density of n-Type silicon ballistic nanowire gate-All-Around metal-oxide-semiconductor field-effect transistors with ultra-short channel incorporating the source-drain tunneling is proposed. When establishing the AC model in practical device applications, compact models describing transient analysis of the carrier behaviors in the device channel are needed. When focusing on the charge density of carriers within GAA MOSFET devices, carriers transporting along the channel direction induced by the source-drain tunneling effect should also be taken into account in the subthreshold region. In this study, transmission coefficients of the source-drain tunneling effect are evaluated through expressing energy level of the lowest subband with bringing in the exact boundary conditions and using the Wentzel-Kramers-Brillouin approximation. Then, the carrier density can be derived from the charge profile in the channel using quantum statistics theory. Finally, comparisons of the calculations of the carrier densities between the source-drain tunneling and the thermionic modes in ballistic transport are demonstrated. © 2021 IEEE.

关键词： MOSFET devices

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Research on information security risk assessment based on integrated influence of neighborhood 6

Research on information security risk assessment based on in...

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6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022

作者： Wang, Tianyu Zhao, Jianming Zhang, Bowen Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781450397148

At present, the information technology of industrial automation control system is developing rapidly, and the system information security is facing severe challenges. Accurate and efficient risk assessment of industrial control systems is conducive to their protection and efficient production. Although there have been quite a few studies on the risk assessment of industrial control systems, there is less consideration of the interaction between the equipment in the system at present. In view of this, this paper proposes an information security risk assessment method based on the impact of neighborhood integration, which can fully consider the changes of equipment functions within the damaged range of industrial control systems. The experimental results in some model systems reveal that the algorithm in this paper can evaluate the information security risks of industrial control systems more accurately, and provides a theoretical method for the stable operation of industrial systems. © 2022 Association for Computing Machinery.

关键词： Risk assessment

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Migration node selection strategy based on gray prediction algorithm in trusted environment 2

Migration node selection strategy based on gray prediction a...

引用

2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022

作者： Wang, Chen Zhang, Bowen Chen, Xin Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (纸本)9781665408868

This paper studies the selection strategy of task migration nodes. Considering the security of nodes, this paper analyzes the trusted security model of each node of migration candidates. Security credibility includes three aspects: time credibility, behavior credibility and resource credibility. By calculating the trusted values of migration nodes in these three aspects, Three nodes with the lowest trust value are obtained to preliminarily screen the migration nodes, and the final nodes are determined in the remaining nodes. Because the gray prediction algorithm requires a small number of original data models and has a strong discrete type, it is more suitable for the model selected by the task migration nodes. This paper uses the gray prediction algorithm to finally determine the migration nodes, In the experiment, the cloud simulation platform is used to compare the algorithm and random algorithm, and the results show the effectiveness of the algorithm. © 2022 IEEE.

关键词： Forecasting

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Force-based Feedback for Haptic Device of Mobile Assembly Robot 27

Force-based Feedback for Haptic Device of Mobile Assembly Ro...

引用

27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020

作者： Lukin, Aleksandr Demidova, Galina L. Rassolkin, Anton Vaimann, Toomas Roozbahani, Hamid ITMO University Faculty of Control System and Robotics Saint Petersburg Russia Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallin Estonia Lappeenranta University of Technology Laboratory of Intelligent Machines Lappeenranta Finland

ISBN: (纸本)9781728141589

This paper describes the control system for twin serial robot manipulators, installed on TIERA mobile robot, focusing in Robot Operating System (ROS) based control network and haptic feedback. Forward and inverse kinematics were used to translate the angular positions of Geomagic touch into joint angles of both UR10 manipulators. Force feedback allows the operator to sense forces applied to both grippers of robotic arms simultaneously using two Geomagic touch. Field tests of TIERA have shown that haptic feedback was established accurately, directions of forces inside the haptic device correspond with directions of forces affecting the gripper, and the current scaling coefficient is enough to sense forces on the haptic device. © 2020 IEEE.

关键词： Mobile robots

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A Novel Semantic-Web Based Technology for control Logic Rapid Reconfiguration of CPPS 7

A Novel Semantic-Web Based Technology for Control Logic Rapi...

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7th International Conference on intelligent Computing and Signal Processing, ICSP 2022

作者： Wang, Peng Wang, Zhongfeng Wang, Chu Hu, Kunyuan Li, Ligang Song, Chunhe Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781665478571

Aiming at solving the problem that the traditional production control system cannot support rapid logical reconfiguration of CPPS, a semantic-web based technology consisting of an overall research framework and three key methods are proposed. Within this overall research framework, product process can be first matched against production resource capabilities, then transformed into the production process of production system, and finally into the control logic of production control system. All the transformations can be done automatically by the help of the proposed semantic-web based methods, namely unified ontology model and related reasoning methods, so that when product process changes, control logic of production can be adjusted efficiently, which enables rapid logical reconfiguration of CPPS. In this paper, the overall framework is first introduced with emphasis on background and technical characteristics of CPPS, analysis of research gaps and overall methods. Then, the three key methods are introduced in detail, namely the unified ontological modelling method of product-process-resources, and the rule-based reasoning methods to automatically transform the production process and control logic, are described in detail. Furthermore, concerning the shortcoming of existing Product-Process-Resource ontological modeling, the description of production system's control behavior is extended within the resource domain, so that key information related to PLC programming such as action sequence and control variable can be integrated and leveraged during the transformation of control logic. Finally, a reconfigurable CPPS prototype is developed based on the proposed framework, and the advantages of the methods are tested and verified. © 2022 IEEE.

关键词： Production control

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