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IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

作者： Ranjeesh R Chandran D. Devaraj Saurav Ashok Donfred Shaji Sam K Saju Department of Robotics and Automation Adishankara Institute of Engineering and Technology Kalady Kerala India Department of Electronics and Electrical Technology Kalasalingam Academy of Research and Education Srivilliputhur Tamil Nadu India Department of Robotics and Automation Adishankara Inst. of Eng and Tech. Kalady Kerala India

ISBN: (数字)9798350361186

ISBN: (纸本)9798350361193

Electromyographic signals offer details on a muscle activity of a person. In the case of hand movements various combinations of forearm muscles must be activated in order to carry out each gesture, which results in unique electrical patterns. On the other hand, identifying the motion being executed is made possible by the examination of these patterns of muscle activation, which are captured by EMG signals. This article presents a novel implementation on hand gesture classification utilizing Electromyography (EMG) signals recorded through a MYO Thalmic bracelet. The dataset consists of raw data collected from 36 subjects, each executing a series of static hand gestures. The classification model employed for this study is an ensemble of decision trees, achieving an impressive validation accuracy of 98.0% and a test accuracy of 98.1 %. The article outlines the dataset details, recording methodology, and provides an in-depth analysis of the model architecture, hyperparameters, and training results.

关键词： Training Wrist Muscles Sensor phenomena and characterization Predictive models Electromyography Robustness

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Obstacles Avoidance Path Planning for Mobile Robot Based on Cellular Automata 6

Obstacles Avoidance Path Planning for Mobile Robot Based on ...

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6th International Conference on robotics, Intelligent Control and Artificial Intelligence, RICAI 2024

作者： Li, Lili Li, Wenwei Huang, Jinglun School of Automation Science and Engineering South China University of Technology Guangzhou China Institute of Intelligent Manufacturing Shunde Polytechnic Foshan China Department of Technical Research South China Robotics Innovation Research Institute Foshan China Foshan Zhiyouren Technology Co. Ltd. Foshan China School of Electronics and Information Engineering Wuyi University Jiangmen China

ISBN: (纸本)9798331541699

In order to quickly plan the shortest path for mobile robot in two-dimensional space, a two-stage obstacles avoidance path planning algorithm based on cellular automata was presented in this paper. For the first stage, the distance between each free cell to the ending cell was gradually generated by the evolution of cellular automata, and the algorithm’s cellular space, cellular states, Moore type neighbors and evolutionary rules were described, respectively. For the second stage, by using the idea of the negative gradient, a method of generating the shortest path based on the cells’ state values was proposed. Accordingly, the corresponding flow chart and Matlab programme of the algorithm were designed. The effectiveness of the algorithm was verified by the simulation and the physical experiment. The results showed that the shortest path in complex environment can be efficiently planned by using our cellular automata algorithm. © 2024 IEEE.

关键词： Microrobots

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Analysis of Grid-Connected Oscillation Characteristics of Offshore Wind Power Based on Impedance Model 16

Analysis of Grid-Connected Oscillation Characteristics of Of...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Wang, Jialong Li, Yudun Fan, Chen Liang, Zhentang Shao, Yuqi Yu, Yiping School of Electrical and Power Engineering Hohai University Nanjing China Electric Power Research Institute State Grid Shandong Electric Power Co. Ltd. Jinan China China Electric Power Research Institute Electric Power Automation Department Nanjing China

ISBN: (纸本)9798350386127

The interaction between DPMSGs and AC/DC power grids is complex and changeable, which can easily cause broadband oscillations in the system. Impedance analysis has been widely used in power system broadband oscillation analysis in recent years due to its clear physical meaning and other characteristics. This paper first conducts impedance modeling on DPMSGs and verifies the accuracy. Then the stability analysis and calculation formula of impedance sensitivity are given. Finally, the impedance sensitivity of the control parameters of the grid-side converter of the direct-drive wind turbine is discussed. © 2024 IEEE.

关键词： Windmill

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Resilient Quantized Consensus in Adversarial Environment Using Trusted Neighbors 7

Resilient Quantized Consensus in Adversarial Environment Usi...

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7th International Conference on Advanced Algorithms and Control engineering, ICAACE 2024

作者： Zhang, Peng Luo, Ziming Wu, Sentang School Of Automation Science And Electrical Engineering Beihang University Beijing100191 China 54th Research Institute Of The China Electronics Technology Group Corporation General Department Of Networks And Communications Shijiazhuang050081 China

ISBN: (纸本)9798350361445

This paper addresses the challenge of achieving resilient quantized consensus in multiagent systems operating within adversarial environments. Existing algorithms often rely on an assumption of the maximum adversarial agents in the multiagent systems or neighbors which may be impossible to appropriately estimate in practice. To address this limitation, we propose a novel filtering method that dynamically maintains a trusted neighbor set to identify and filter out suspicious states without requiring knowledge of the maximum adversaries. Additionally, we introduce a distributed resilient quantized control protocol tailored for regular agents, ensuring consensus despite limited communication and memory constraints that enforce agents to adopt integer values. We analyze a graph-theoretic condition that is both necessary and sufficient for our proposed control protocol to succeed. Finally, we validate our theoretical findings through simulations. © 2024 IEEE.

关键词： Multi agent systems

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Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments

Active Scout: Multi-Target Tracking Using Neural Radiance Fi...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Christopher D. Hsu Pratik Chaudhari DEVCOM Army Research Laboratory Department of Electrical & Systems Engineering and General Robotics Automation Sensing and Perception (GRASP) Laboratory University of Pennsylvania

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

We study pursuit-evasion games in highly occluded urban environments, e.g. tall buildings in a city, where a scout (quadrotor) tracks multiple dynamic targets on the ground. We show that we can build a neural radiance field (NeRF) representation of the city—online—using RGB and depth images from different vantage points. This representation is used to calculate the information gain to both explore unknown parts of the city and track the targets—thereby giving a completely first-principles approach to actively tracking dynamic targets. We demonstrate, using a custom-built simulator using Open Street Maps data of Philadelphia and New York City, that we can explore and locate 20 stationary targets within 300 steps. This is slower than a greedy baseline, which does not use active perception. But for dynamic targets that actively hide behind occlusions, we show that our approach maintains, at worst, a tracking error of 200m; the greedy baseline can have a tracking error as large as 600m. We observe a number of interesting properties in the scout’s policies, e.g., it switches its attention to track a different target periodically, as the quality of the NeRF representation improves over time, the scout also becomes better in terms of target tracking.

关键词： Target tracking Urban areas Buildings Games Neural radiance field Information filters Probabilistic logic Mutual information Intelligent robots Quadrotors

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ADVANCED MULTI-OBJECTIVE ALGORITHM USED TO OPTIMIZE CONSUMPTION OF AN INTEGRATED SYSTEM FOR FLEXIBLE MANUFACTURING

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: electrical engineering and Computer Science 2024年第2期86卷 113-127页

作者： Păun, Marius-Adrian Coandă, Henri-George Mincă, Eugenia Duca, Octavian Gabriel Făgărășan, Ioana Dragomir, Florin Iliescu, Sergiu Stelian National University of Science and Technology POLITEHNICA of Bucharest Automation and Industrial Informatics Department Romania Faculty of Electrical Engineering Electronics and Information Technology Valahia University of Targoviste Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Romania Academy of Romanian Scientists 54 Splaiul Independentei Bucharest050044 Romania

The optimization of power consumption of manufacturing lines (ML) is a relevant topic in the context of increasing electricity prices. This paper presents the topic of optimizing the energy consumption of a production system, through optimization technique based on the multi-objective PSO (Particle Swarm Optimization) algorithm. The novelty of the approach lies in the development of an Advanced PSO algorithm (APSO), which brings superior results in optimizing energy consumption. The research was carried out in successive stages, starting with data collection, and ending with the implementation of the results on the production line, everything being subordinated to the criterion of optimizing energy consumption. APSO's advanced optimization technique was implemented on a flexible manufacturing line (FML) composed of five linearly interconnected workstations. The APSO optimization algorithm, following implementation and testing on FML, provides a solution for controlling the conveyor speeds of each station that guarantees in the overall approach to the process a minimum energy consumption, but also a minimum execution time of the algorithm. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Electric power utilization

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Crop Detection and Weed Removal Agriculture Robot

Crop Detection and Weed Removal Agriculture Robot

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2024 IEEE International Conference on Intelligent Systems and Advanced Applications, ICISAA 2024

作者： Patil, Digambar P. Kanase, Digvijay B. Patil, Seema S. Patil, Deepak B. Purohit, Himmat Singh Mhatre, Nupoor Dr. D. Y. Patil Institute of Technology Department of Automation and Robotics Maharashtra Pune411018 India Dr. D. Y. Patil Institute of Technology Department of Electrical Engineering Maharashtra Pune411018 India Ashokrao Mane Group of Institutions Department of EandTc Engineering Maharashtra Kolhapur416112 India NMIET Talegaon Dabhade Electronics and Telecommunication Engineering Department Maharashtra Pune410507 India

ISBN: (纸本)9798331539948

Weed management is important thing of modern agriculture, as weeds can significantly impact crop yields, increase production costs, and pose environmental challenges. Weeds are unwanted plants that make race with desirable crops for resources such as nutrients, sunlight and water. It can cause significant damage to crops and other vegetation if left uncontrolled. The use of herbicides to control weeds can result in environmental pollution if not applied properly or if excessive amounts are used. Continuous use of herbicides without proper rotation or alternative weed management strategies can lead to the development of herbicide-resistant weed populations. Weed presence in harvested crops can reduce their quality, making them less marketable. The weed removal robot will be equipped with various sensors to scan the field and detect the presence of weeds. Advanced computer vision algorithms and machine learning techniques are often employed to differentiate between crops and weeds based on color, shape, or other characteristics. Sensors scan the field and capture images or data that are then processed by the processor. The single board computer can be programmed to recognize the visual differences between crops and weeds based on color, shape, or other characteristics. This robot will be equipped with precise actuators, which can include mechanical arms or electric tools. These actuators are used to perform the actual weed removal tasks. The processor controls the weed removal mechanism, which could be a mechanical arm with tools like rotating brushes or blades for physical weed removal. © 2024 IEEE.

关键词： Digital storage

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Implementation of data transmission mechanism in a Bi-directional optical fiber network

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Journal of Optical Communications 2025年

作者： Gummadi, Dinesh Venkat Karanam, Harish Naidu Samudrala, Sivanaga Akshaya Nampally, Harshavardhan Prasanna Preethi Priya Darshini, Sagabala Sindhwani, Manoj Sachdeva, Shippu Shukla, Manoj Kumar School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Department of Robotics and Automation Symbiosis Institute of Technology Symbiosis International Deemed University Pune India

Passive optical network (PON) has become the leader in delivering broadband high-speed connectivity. The paper introduces a detailed description of PON, its working principle, key features, and their potential applications. In addition, we discuss the types of PON architectures including GPON, EPON, and XG-PON with merits and demerits. Finally, we discuss the technical considerations of PONs in data transmission mechanisms, network design, and component selection. This paper further demonstrates the use of PON technology via a case study on the design and implementation of a bidirectional optical fiber network. Within this project, we went ahead to demonstrate the use of PON components including optical splitters, transmitters, receivers, and power controllers towards the development of an efficient and functional network structure. It mainly covered the results of the project since the PONs appeared to be a promising solution for obtaining high-performing and reliable broadband services. © 2025 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Passive optical networks

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Analysis of Influence of Ground Insulation on Lightning Performance of 500kV Transmission Lines 9

Analysis of Influence of Ground Insulation on Lightning Perf...

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9th Asia Conference on Power and electrical engineering, ACPEE 2024

作者： Wang, Xianchun Fan, Mian Cao, Jinxin Li, Zhenqiang Wei, Yong Information & Telecommunication Co. Ltd State Grid Hebei Electric Power Company Co. Ltd Shijiazhuang China High Voltage Research Institute China Electric Power Research Institute Wuhan China Wuhan University Department of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9798350309638

In order to determine the influence degree of ground wire insulation design on the lightning induction capability and shielding ability of overhead ground wire and the lightning withstand level of 500kV transmission lines, a comprehensive study of lightning process theory calculation, equivalent experimental analysis and electromagnetic transient simulation calculations of lightning strikes is carried out. It analyzes the changes in the lightning attraction capability of the ground wire and the lightning withstand level of the transmission lines after the insulation design of the ground wire (grounded through small gaps) compared to the conditions where the ground wire is grounded at each tower. The impact of insulated OPGW on the lightning performance of the line was determined, refining the methods and principles for the coordinated design of insulated ground wires. research shows that the accumulation time of induced charge on the overhead insulated ground wire is significantly shorter than the time required for the development of thundercloud leaders, and the different grounding modes of overhead ground wire do not affect the initiation and progression of the lightning leader and have minimal impact on the lightning performance of 500kV transmission lines. © 2024 IEEE.

关键词： Overhead lines

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Trajectory Planning for Minimizing Floating Pedestal Disturbance of Spatial Dual-Arm Robots 43

Trajectory Planning for Minimizing Floating Pedestal Disturb...

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43rd Chinese Control Conference, CCC 2024

作者： Zhang, Hui Zuo, Xiaozhong Zhang, Wei Gao, Sheng Shenyang Jianzhu University College of Electrical and Control Engineering Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai200120 China

ISBN: (纸本)9789887581581

This paper addresses the trajectory planning problem of a spatial dual-arm robot and proposes a method to minimize the floating pedestal perturbation using a nonlinear planning method. The joint angle of the dual-arm robot is the optimization variable, and the positioning accuracy of the end-effector and the pedestal disturbance are the optimization objective and constraints, respectively. A constrained multi-objective optimization problem is formulated, and the kinematic model of the robot is established by parameterizing the joint trajectory. A penalty factor and a collision detection mechanism are applied to ensure the safety of the planning process. A nonlinear planning method is used to solve the optimization problem and obtain the optimal joint trajectory of the dual-arm robot. Simulation results demonstrate that the proposed method effectively reduces the base disturbance while ensuring the positioning accuracy of the end-effector. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： End effectors

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