Soft robots actuate themselves and their world through induced pressure and strain, and can often sense these quantities as well. We hypothesize that coordination in a tightly coupled collective of soft robots can be ...
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ISBN:
(纸本)9781665408288
Soft robots actuate themselves and their world through induced pressure and strain, and can often sense these quantities as well. We hypothesize that coordination in a tightly coupled collective of soft robots can be achieved with purely proprioceptive sensing and no direct communication. In this paper, we target a platform of soft pneumatic modules capable of sensing strain on their perimeter, withthe goal of using only the robots' own soft actuators and sensors as a medium for distributed coordination. However, methods for modelling, sensing, and controlling strain in such soft robot collectives are not well understood. To address this challenge, we introduce and validate a computationally efficient spring-based model for two-dimensional sheets of soft pneumatic robots. We then translate a classical consensus algorithm to use only proprioceptive data, test in simulation, and show that due to the physical coupling between robots we can achieve consensus-like coordination. We discuss the unique challenges of strain sensors and next steps to bringing these findings to hardware. these findings have promising potential for smart materials and large-scale collectives, because they omit the need for additional communication infrastructure to support coordination.
the trajectory tracking problem of a type (2,0) wheeled mobile robots (WMR) with unknown longitudinal and lateral slippage is studied in this paper. the influence of slippage is considered by establishing more accurat...
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the aim of this study is to explore the perceptions of managers towards the adoption and use of enterprise information systems and Industry 4.0 technologies in Greece, through a quantitative research in companies from...
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ISBN:
(纸本)9783031693502;9783031693519
the aim of this study is to explore the perceptions of managers towards the adoption and use of enterprise information systems and Industry 4.0 technologies in Greece, through a quantitative research in companies from various sectors of the economy. the results show that, although the use of enterprise information systems such as ERP, CRM etc. is quite widespread, the adoption of Industry 4.0 technologies is currently very low. However, most managers show intention to implement and adopt Industry 4.0 technologies and systems in the near future. Organizational and personal factors, such as awareness of Industry 4.0, seem to influence the perceived benefits and challenges of Industry 4.0 adoption and intention to use. Our study provides results which can be used by researchers to study and explore Industry 4.0 adoption in a national context and to question or validate results from similar empirical studies in international context and other countries.
the continuous demand for higher data rates and wider bandwidth has driven the development of advanced communication systems, particularly in the field of free-space optical communication. It is crucial to evaluate va...
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As part of this research, software for multimodal biometric authentication using neural networks is developed to improve the efficiency of information system user authorization. the architectures of artificial neural ...
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Withthe rapid development of information technology and manufacturing automation, appropriate predictive maintenance for key devices and common components is important to ensure the safety, reliability, and productiv...
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this article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations ...
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the work examines a radio pulse source of centimeter wave radiation for the destruction of agricultural pests, namely the reliability of theoretical approaches and models based on the development and research of the m...
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the proceedings contain 9 papers. the special focus in this conference is on AI, Big Data and Blockchain. the topics include: Investigation into Data Protection Strategies in Complex Digital Health;Interpretable SHAP-...
ISBN:
(纸本)9783031731501
the proceedings contain 9 papers. the special focus in this conference is on AI, Big Data and Blockchain. the topics include: Investigation into Data Protection Strategies in Complex Digital Health;Interpretable SHAP-Driven Machine Learning for Accurate Fault Detection in Software Engineering;audio Driven Video Filtering Using Machine Learning;A Decentralized Cyber threat Information (CTI) Sharing Platform;analyzing Bitcoin Price Trends: News Sentiment and Financial Metrics;beyond Traditional Motion Planning: A Proximal Policy Optimization Reinforcement Learning Approach for robotics;data Analytics and Visualisation of Wastewater Monitoring via IoT Based Water Moving Vehicle.
the proceedings contain 242 papers. the topics discussed include: research on extension innovation model based on the development of smart tourism homestay industry;supply chain management and influencing factors base...
ISBN:
(纸本)9798400709999
the proceedings contain 242 papers. the topics discussed include: research on extension innovation model based on the development of smart tourism homestay industry;supply chain management and influencing factors based on e-commerce delivery data;analysis research and analysis of neural network internet economy under big data modeling – the belt and road initiative as the background;analysis of archive library data system based on genetic algorithm;deep reinforcement learning for boosting individual and aggregate diversity in product recommendation systems;current status and future prospects of brain-inspired intelligence development: a review;and detecting public perceptions of apollo go on Chinese social media based on topic modeling and sentiment analysis.
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