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Artificial Intelligence, Networking and Information Technology (AINIT), International Seminar on

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

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

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.

关键词： Multiplexing Job shop scheduling Protocols Accuracy Industrial control Ethernet Real-time systems

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Design and Implementation of OpenWSN Hardware Platform 2

Design and Implementation of OpenWSN Hardware Platform

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2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence, AHPCAI 2022

作者： Zhang, Shusheng Xie, Chuang Liu, Jun Zhao, Chun Yang, Zhijia Mao, Jizhi College of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China 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

ISBN: (纸本)9798350334784

This paper proposes a new wireless sensor network hardware platform based on OpenWSN project launched by the University of California, Berkeley. The hardware platform's processor uses a 32-bit microcontroller (STM32F103RCT6) produced by STMicroelectronics (ST), and the wireless module uses the WISA470 chip. The final experimental results show that this platform can support the Open WSN project very well. © 2022 IEEE.

关键词： Wireless sensor networks

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A Search Strategy and Vessel Detection in Maritime Environment Using Fixed-Wing UAVs

A Search Strategy and Vessel Detection in Maritime Environme...

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International Symposium on Underwater Technology

作者： Marijana Peti Ana Milas Natko Kraševac Marko Križmančić Ivan Lončar Nikola Mišković Stjepan Bogdan Laboratory for Robotics and Intelligent Control Systems (LARICS) Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Laboratory for Underwater Systems and Technologies (LABUST) Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

In this paper, we address the problem of autonomous search and vessel detection in an unknown GNSS-denied maritime environment with fixed-wing UAVs. The main challenge in such environments with limited localization, communication range, and the total number of UAVs and sensors is to implement an appropriate search strategy so that a target vessel can be detected as soon as possible. Thus we present informed and non-informed methods used to search the environment. The informed method relies on an obtained probabilistic map, while the non-informed method navigates the UAVs along predefined paths computed with respect to the environment. The vessel detection method is trained on synthetic data collected in the simulator with data annotation tools. Comparative experiments in simulation have shown that our combination of sensors, search methods and a vessel detection algorithm leads to a successful search for the target vessel in such challenging environments.

关键词： Location awareness Navigation Annotations Computational modeling Search problems Probabilistic logic Sensors

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Global Convergence of Continual Learning on Non-IID Data

arXiv

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arXiv 2025年

作者： Zhu, Fei Liu, Yujing Liu, Wenzhuo Zhang, Zhaoxiang Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science & Innovation CAS Hong Kong Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation CAS China School of Artificial Intelligence University of Chinese Academy of Sciences China

Continual learning, which aims to learn multiple tasks sequentially, has gained extensive attention. However, most existing work focuses on empirical studies, and the theoretical aspect remains under-explored. Recently, a few investigations have considered the theory of continual learning only for linear regressions, establishes the results based on the strict independent and identically distributed (i.i.d.) assumption and the persistent excitation on the feature data that may be difficult to verify or guarantee in practice. To overcome this fundamental limitation, in this paper, we provide a general and comprehensive theoretical analysis for continual learning of regression models. By utilizing the stochastic Lyapunov function and martingale estimation techniques, we establish the almost sure convergence results of continual learning under a general data condition for the first time. Additionally, without any excitation condition imposed on the data, the convergence rates for the forgetting and regret metrics are provided. Copyright © 2025, The Authors. All rights reserved.

关键词： Federated learning

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Resource Allocation for Reliable Transmission in IRS-Assisted Industrial Wireless Sensor Networks 18th

Resource Allocation for Reliable Transmission in IRS-Assis...

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18th China Conference on Wireless Sensor Networks, CWSN 2024

作者： Wang, Chuqing Zheng, Meng Liang, Wei 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 University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9789819621880

Intelligent Reflecting Surface (IRS) is one of the promising technologies for improving transmission reliability of Industrial Wireless Sensor Networks (IWSNs) by creating a virtual line-of-sight (LoS) link to bypass obstacles between transceivers. In this paper, we consider an IRS-assisted IWSN and propose a resource allocation method for reliable transmission in the IRS-assisted IWSN. First, a transmission reliability optimization problem in terms of the reflective beamforming at the IRS and the timeslot and power allocated to sensors is formulated. Second, the formulated optimization problem is transformed into an equivalent but simplified problem. In subsequent, a particle swarm optimization based method is utilized to obtain a near-optimal solution. Simulation results demonstrate that this work yields higher transmission reliabilities than existing benchmark schemes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Particle swarm optimization (PSO)

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Quantification of Shoulder Joint Impedance During Dynamic Motion: A Pilot Study Using a Parallel-Actuated Shoulder Exoskeleton Robot

Quantification of Shoulder Joint Impedance During Dynamic Mo...

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International Conference on Ubiquitous Robots (UR)

作者： Seunghoon Hwang Edward Chan Hyunglae Lee Neuromuscular Control and Human Robotics Laboratory School of Matter Transport and Energy Arizona State University Tempe AZ School of Biological and Health Systems Engineering Arizona State University Tempe AZ

ISBN: (数字)9798350361070

ISBN: (纸本)9798350361087

Previous studies characterizing shoulder joint impedance were either strictly limited to 2D planar motion or static postures in 3D space. It is still not clear how shoulder joint impedance is regulated during dynamic motion in 3D space. To address this knowledge gap, this study presents our initial efforts to quantify shoulder joint impedance during dynamic shoulder motion using a parallel-actuated shoulder exoskeleton robot. The robot's 4-bar spherical parallel manipulation mechanism, characterized by low inertia, allows for transparent and natural arm motion in 3D space and applies rapid perturbations to the upper arm during dynamic shoulder motion. Two unimpaired individuals participated in an experiment involving repeated shoulder flexion and extension motions at a fixed horizontal shoulder extension angle of 45°. Shoulder impedance was quantified by estimating the relation-ship between the kinematics of input position perturbations, which were applied in the orthogonal direction of the arm motion, and the output torque responses resulting from these perturbations. This relationship was approximated by a second-order model consisting of inertia, damping, and stiffness. Both subjects showed high reliability in impedance quantification during shoulder flexion and extension movements, evidenced by a high percentage Variance Accounted For that exceeds 96%. The experimental results showed the following notable trends. First, the contribution of stiffness to the shoulder torque was greater than that of the other two impedance parameters. Next, damping was larger during shoulder extension (downward motion) as opposed to flexion (upward motion). Lastly, inertia remained relatively constant regardless of shoulder motions. This pilot study validated the reliability of the presented robotic approach, paving the way for future shoulder impedance studies involving various dynamic motions in 3D space.

关键词： Damping Three-dimensional displays Torque Perturbation methods Dynamics Exoskeletons Shoulder

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Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot systems

arXiv

引用

arXiv 2023年

作者： Huang, Jihao Zeng, Jun Chi, Xuemin Sreenath, Koushil Liu, Zhitao Su, Hongye State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Hybrid Robotics Group The Department of Mechanical Engineering UC Berkeley United States

Obstacle avoidance for multi-robot navigation with polytopic shapes is challenging. Existing works simplify the system dynamics or consider it as a convex or non-convex optimization problem with positive distance constraints between robots, which limits real-time performance and scalability. Additionally, generating collision-free behavior for polytopic-shaped robots is harder due to implicit and non-differentiable distance functions between polytopes. In this paper, we extend the concept of velocity obstacle (VO) principle for polytopic-shaped robots and propose a novel approach to construct the VO in the function of vertex coordinates and other robot’s states. Compared with existing work about obstacle avoidance between polytopic-shaped robots, our approach is much more computationally efficient as the proposed approach for construction of VO between polytopes is optimization-free. Based on VO representation for polytopic shapes, we later propose a navigation approach for distributed multi-robot systems. We validate our proposed VO representation and navigation approach in multiple challenging scenarios including large-scale randomized tests, and our approach outperforms the state of art in many evaluation metrics, including completion rate, deadlock rate, and the average travel distance. Copyright © 2023, The Authors. All rights reserved.

关键词： Multipurpose robots

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AGV State Monitoring Based on Global and First-person View Fusion in Digital Workshops 12

AGV State Monitoring Based on Global and First-person View F...

引用

12th International Conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2022

作者： Zhang, Sichao Liang, Wei Li, Gengyu Yuan, Xudong An, Haibo Zhang, Yinlong State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Science Beijing100049 China School of Information and Control Engineering Shenyang Jianzhu University Shenyang110168 China Science and Technology on Information Systems Engineering Laboratory The 28th Research Institute of Cetc Jiangsu Nanjing210007 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

AGV state monitoring is becoming increasingly important for production system safety in digital workshops. This paper develops a global and first-person view fusion to monitor the AGV (Automated Guided Vehicle) running state in the complex digital workshops. Based on the affine transformation model, the AGV running states, i.e., position, velocity and orientation are estimated by the global camera with the assistance of ArUco markers, which are pasted on the front side of the AGV. Besides, the first-person view camera is used to implement pedestrian detection and distance measurement based on the YOLOv3 model. It is noticeable that the pitch angle is considered for distance measurement, and an improved triangular model for distance measurement is proposed. The effectiveness of the proposed method has been verified in our built platform. © 2022 IEEE.

关键词： Cameras

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Fast Path Planning for Autonomous Vehicle Parking with Safety-Guarantee using Hamilton-Jacobi Reachability

arXiv

引用

arXiv 2023年

作者： Chi, Xuemin Zeng, Jun Huang, Jihao Liu, Zhitao Su, Hongye State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Hybrid Robotics Group the Department of Mechanical Engineering UC Berkeley United States

We present a fast planning architecture called Hamilton-Jacobi-based bidirectional A* (HJBA*) to solve general tight parking scenarios. The algorithm is a two-layer composed of a high-level HJ-based reachability analysis and a lower-level bidirectional A* search algorithm. In high-level reachability analysis, a backward reachable tube (BRT) concerning vehicle dynamics is computed by the HJ analysis and it intersects with a safe set to get a safe reachable set. The safe set is defined by constraints of positive signed distances for obstacles in the environment and computed by solving QP optimization problems offline. For states inside the intersection set, i.e., the safe reachable set, the computed backward reachable tube ensures they are reachable subjected to system dynamics and input bounds, and the safe set guarantees they satisfy parking safety with respect to obstacles in different shapes. For online computation, randomized states are sampled from the safe reachable set, and used as heuristic guide points to be considered in the bidirectional A* search. The bidirectional A* search is paralleled for each randomized state from the safe reachable set. We show that the proposed two-level planning algorithm is able to solve different parking scenarios effectively and computationally fast for typical parking requests. We validate our algorithm through simulations in large-scale randomized parking scenarios and demonstrate it to be able to outperform other state-of-the-art parking planning algorithms. Copyright © 2023, The Authors. All rights reserved.

关键词： Motion planning

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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 ...

引用

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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