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7th International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2022

作者： Kamaruzzaman, Md. Chandra, Abhijit The Neotia University Department of Robotics & Automation Kolkata India Jadavpur University Department of Instrumentation and Electronics Engineering Kolkata India

ISBN: (纸本)9781665496483

Wireless sensor network (WSN) has become popular for its potential applications in the field of environmental science, robotics, military, disaster management system, medical science and so on. However, limited energy of the sensor nodes is emerging as one of the key constraints as far as the application of WSNs is concerned. Hence, researchers are developing divergent algorithms for the minimization of energy consumption of the sensor nodes (SNs), In this article, we have introduced a novel routing algorithm in which a fitness function is used. Moreover, all the parameters in the fitness function are normalized so that equal contribution is assured from each of them. MATLAB simulation on the proposed scheme has been carried out in order to exhibit its effectiveness over few existing approaches. It is finally concluded that the proposed scheme outperforms previous algorithms in terms of network lifetime, time for first sensor node die and standard deviation. © 2022 IEEE.

关键词： Sensor nodes

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Application of Neural Networks in Electric Drive Systems of Pumping Units 25

Application of Neural Networks in Electric Drive Systems of ...

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25th International Conference on Soft Computing and Measurements, SCM 2022

作者： Belov, Aleksandr M. Belov, Mihail P. Saint-Petersburg Electrotechnical University "lETI" Department of Robotics and Automation of Industrial Processes Saint Petersburg Russia

ISBN: (纸本)9781665496698

The aim of the work is to develop a mathematical model of the control system of the pump unit with a neurocontroller. In the process of work the research of separate circuits of the control system of the pump unit was carried out. As a result of the research the following was obtained: computer model of pump unit control system;structure of neural regulator. The effectiveness of the model lies in the possibility to conduct research of different modes of operation of pump units at different connection options. © 2022 IEEE.

关键词： Computer control systems

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India's Stake in Emerging Technology - A Review 18

India's Stake in Emerging Technology - A Review

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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Singh, Sugandha China Ramu, S. Lalit, Ruchika Sgt University Department of Computer Science and Engineering Gurugram India Chaitanya Bharathi Institute of Technology Department of Computer Science and Engineering Hyderabad India University School of Automation and Robotics Ggsipu East Campus New Delhi India

ISBN: (纸本)9789380544519

Emerging technologies of today are altering the way we think about the built environment. In the meantime, many technologies have undergone revolutionary changes, and India, an expanding nation, offers opportunities for development in several new areas. The goal of the study is to show how organizations need to adapt their perspective and create new strategies for emerging technologies such as artificial intelligence (AI), machine learning (ML), big data, quantum, and space exploration in light of the swift advancements in technology. This paper presents that although India has come across a lot of advancements in this era of emerging technology, certain challenges have been faced in aspects like adapting, feasibility, and approval which brought many changes across the country, which in turn is impacting the pace to transform the country towards Industry 4.0 and Industry 5.0. Therefore a study is presented to understand the impact of emerging technologies for countries coming up as Industry 4.0 and Industry 5.0. This paper emphasizes on for India's initiatives for emerging technologies to come up as VIKSIT BHARAT @2047. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Artificial Intelligence Big Data Fabrication Hypersonic platforms Industry 4.0 and Industry 5.0 Quantum computing

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The Role of Higher-Order Cognitive Models in Active Learning

arXiv

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arXiv 2024年

作者： Keurulainen, Oskar Alcan, Gokhan Kyrki, Ville The Intelligent Robotics Group Department of Electrical Engineering and Automation Aalto University Finland

Building machines capable of efficiently collaborating with humans has been a longstanding goal in artificial intelligence. Especially in the presence of uncertainties, optimal cooperation often requires that humans and artificial agents model each other’s behavior and use these models to infer underlying goals, beliefs or intentions, potentially involving multiple levels of recursion. Empirical evidence for such higher-order cognition in human behavior is also provided by previous works in cognitive science, linguistics, and robotics. We advocate for a new paradigm for active learning for human feedback that utilises humans as active data sources while accounting for their higher levels of agency. In particular, we discuss how increasing level of agency results in qualitatively different forms of rational communication between an active learning system and a teacher. Additionally, we provide a practical example of active learning using a higher-order cognitive model. This is accompanied by a computational study that underscores the unique behaviors that this model produces. Copyright © 2024, The Authors. All rights reserved.

关键词： Learning systems

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Progress in Force-Sensing Techniques for Surgical Robots

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Journal of Shanghai Jiaotong university(Science) 2023年第3期28卷 370-381页

作者：高红岩艾孝杰孙正隆陈卫东高安柱 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Institute of Medical Robotics Shanghai Jiao Tong UniversityShanghai 200240China School of Science and Engineering The Chinese University of Hong KongShenzhen 518172GuangdongChina

Force sensing is vital for situational awareness and safe interaction during minimally invasive ***,surgical robots with integrated force-sensing techniques ensure precise and safe *** the past few decades,there has been considerable progress in force-sensing techniques for surgical *** review summarizes the existing electrically-and optically-based force sensors for surgical robots,including piezoresistive,piezoelectric,capacitive,intensity/phase-modulated,andﬁber Bragg *** principles,applications,advantages,and limitations are also ***,we summarize our conclusions regarding state-of-the-art force-sensing technologies for surgical robotics.

关键词： force sensing surgical robots minimally invasive surgery

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Muscle Activation Estimation by Optimizing the Musculoskeletal Model for Personalized Strength and Conditioning Training

Muscle Activation Estimation by Optimizing the Musculoskelet...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Wu, Xi Li, Chenzui Zou, Kehan Xi, Ning Chen, Fei T-Stone Robotics Institute The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong Hong Kong The University of Hong Kong Department of Industrial and Manufacturing System Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665481090

Musculoskeletal models are pivotal in the domains of rehabilitation and resistance training to analyze muscle conditions. However, individual variability in musculoskeletal parameters and the immeasurability of some internal biomechanical variables pose significant obstacles to accurate personalized modelling. Furthermore, muscle activation estimation can be challenging due to the inherent redundancy of the musculoskeletal system, where multiple muscles drive a single joint. This study develops a whole-body musculoskeletal model for strength and conditioning training and calibrates relevant muscle parameters with an electromyography-based optimization method. By utilizing the personalized musculoskeletal model, muscle activation can be subsequently estimated to analyze the performance of exercises. Bench press and deadlift are chosen for experimental verification to affirm the efficacy of this approach. © 2024 IEEE.

关键词： Electromyography

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Time Transfer and Clock Synchronization Analysis over Spine-Leaf Networks

Time Transfer and Clock Synchronization Analysis over Spine-...

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IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication, ISPCS

作者： Alberto Ortega Víctor Vázquez Carlos Megías Jesús González Manuel Rodríguez-Álvarez Javier Díaz Eduardo Ros Department of Computer Engineering Automation and Robotics CITIC University of Granada Granada Spain

ISBN: (数字)9798350366112

ISBN: (纸本)9798350366129

The integration of a time synchronization and time transfer system in data center networks is an increasingly common demand. Since moving the entire infrastructure of a data center network to switches with time-dedicated hardware is nowadays a considerable expense of resources, it is convenient to analyze and study it. In this paper we work on real hardware, presenting a characterization of the problem for a Spine-Leaf network by means of load variation tests proposed by the ITU, using the PTP protocol and common non-PTP aware switches. Through this study we manage to show, thanks to real measurements, the problem of dynamic asymmetry and how it affects the time distribution. Additionally, it is shown that if the network load is quadrupled, the PTP pk-pk offset through the network does not even double. Finally, thanks to long-term tests, we can conclude that time synchronization in a Spine-Leaf network shows considerable resilience to load changes.

关键词： Data centers Protocols Load management Time measurement Hardware ITU Synchronization Resilience

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Five questions and answers about artificial intelligence

arXiv

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arXiv 2024年

作者： Prieto, Alberto Prieto, Beatriz Department of Computer Engineering Automation and Robotics CITIC-UGR University of Granada Spain

Rapid advances in Artificial Intelligence (AI) are generating much controversy in society, often without scientific basis. As occurred the development of other emerging technologies, such as the introduction of electricity in the early 20th century, AI causes both fascination and fear. Following the advice of the philosopher R.W. Emerson's advice 'the knowledge is the antidote to fear', this paper seeks to contribute to the dissemination of knowledge about AI. To this end, it reflects on the following questions: the origins of AI, its possible future evolution, its ability to show feelings, the associated threats and dangers, and the concept of AI singularity. © 2024, CC BY-NC-SA.

关键词： Adversarial machine learning

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Augmented Reality Enabled Telepresence Framework for Intuitive Robotic Teleoperation

Augmented Reality Enabled Telepresence Framework for Intuiti...

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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Xu, Zheng Lin, Zecai Liu, Huanghua Ren, Qingsong Gao, Anzhu Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Institute of Medical Robotics and Department of Automation Shanghai200240 China

ISBN: (纸本)9798350325706

In terms of telepresence for robotic teleoperation, the existing remote surgery provides the patient's side real-time videos to remote operators. Its effectiveness is limited due to the lack of depth information, occlusion, and restricted viewing angles. To address it, this paper develops a robotic telepresence framework integrating augmented reality (AR) and 3D reconstruction technology, providing a 3D virtual patient's side environment for remote operators. The real scene of the patient's side is reconstructed by a monocular camera with a manipulator before the operation, and the manipulator is teleoperated by the operator at the remote's side. The manipulator's pose is fused into the classic SVO+REMODE algorithm to improve the reconstructed accuracy. On the remote's side, an AR head-mounted display (HMD) is deployed to provide telepresence for operators under a similar environment, and the reconstructed scene of the patient's side is registered to the remote room, from which the operator can see the whole scene of the patient body and surrounding objects. An ArUco cube is used to evaluate the superimposed error between virtual and real displays, and the effectiveness is validated in an experimental platform for remote surgery. © 2023 IEEE.

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Task Allocation Game with the Loss Function 42

Task Allocation Game with the Loss Function

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42nd Chinese Control Conference, CCC 2023

作者： Zhao, Zhengwu Zhang, Chunyan College of Artificial Intelligence Nankai University Department of Automation Tianjin300071 China Nankai University Tianjin Key Laboratory of Intelligent Robotics Tianjin300071 China

ISBN: (纸本)9789887581543

Task allocation problem has drawn a wide attention in the field of artificial intelligence, and we introduce the loss function into task allocation game model to simulate the issue of maintaining a balance between economic development and environmental protection. The article establishes a mathematical model of the game, studies how the task payoff difference varies when changing parameters of the model, and uses the fixation probability to analyze the impact of the loss function on self-organized evolution of task allocation in the group. We draw three main conclusions, firstly synergistic benefit facilitates the formation of division of labor, secondly the loss function has both positive and negative effects on cooperation in the group, and finally the loss function significantly reduces the willingness of individuals to perform task. The paper presents a new application scenario of task allocation game, and provides a novel idea for controlling environmental pollution. © 2023 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Environmental protection

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