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检索条件"任意字段=International Symposium on Computational Intelligence in Robotics and Automation"

共 3101 条记录，以下是361-370 订阅

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Software architecture for semantically enhanced composition of geoservices in cadastral systems

Software architecture for semantically enhanced composition ...

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7th IEEE international symposium on Applied computational intelligence and Informatics, SACI 2012

作者： Sladić, Dubravka Govedarica, Miro Ristić, Aleksandra Faculty of Technical Sciences University of Novi Sad Department for Automation and Control Novi Sad Serbia

ISBN: (纸本)9781467310116

This paper presents the software architecture for the composition of geoservices that are used for the discovery, access, processing and visualisation of spatial data in the cadastral systems. The architecture is based on the current standards in the field of GIS and information technologies in general. In order to solve semantic problems, the process of service composition is enhanced with the ontologies for data and services in the cadastral systems which enable (semi)automation of the composition process. ©2012 IEEE.

关键词： Web services

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Robot Rights in the Era of Robolution and the Acceptance of Robots from the Slovak Citizen's Perspective 13

Robot Rights in the Era of Robolution and the Acceptance of ...

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13th IEEE international symposium on Robotic and Sensors Environments (ROSE)

作者： Beno, M. VSM City Univ Seattle Bratislava Slovakia

ISBN: (纸本)9781728119649

Some call it the Fourth Industrial Revolution, some Robolution. We are living in the age of automation technology, robotics and artificial intelligence. The use of artificial intelligence in our everyday lives is on the increase and covers many fields of activity from production assistance in factories to vacuum cleaners in the household, telepresence robotics, self-driving cars/buses and flying drones. Generally, we can compare this revolution with those of computers and the Internet. But Robolution raises numerous legal questions and encounters difficulties of acceptance in both the industrial and social sectors. There are serious problems with the claim that conscious robots should have rights just as humans do, and this is what this paper plans to explore. The aim of our paper was threefold: first, to define the robot;second, to discuss robot rights issues in general;and, third, to examine the acceptance of robots from the Slovak citizen's perspective. The data of the survey were collected in August 2018 from e-mail interviews with 647 persons. The results show there is a higher acceptance of the use of robots in everyday life (health issues, self-driving cars/buses) and in households than in the work environment. Among the respondents, 61% think that dependence on machines and desktop screens should be reduced. Our results show that attitudes toward robots are positive in many sectors. Yet there is a need for a comprehensive strategy of robot handling and robot rights to help us gain a better understanding of robot acceptance.

关键词： Service robots Electronic mail Artificial intelligence Robot sensing systems automation Law

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Extension of a high-resolution intelligence implementation via Design-to-Robotic-Production and-Operation strategies 35

Extension of a high-resolution intelligence implementation v...

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35th international symposium on automation and robotics in Construction and international AEC/FM Hackathon: The Future of Building Things, ISARC 2018

作者： Cheng, A. Liu Bier, H.H. Faculty of Architecture and the Built Environment Delft University of Technology Delft Netherlands Facultad de Arquitectura e Ingenierías Universidad Internacional SEK Quito Ecuador Dessau Institute of Architecture Anhalt University of Applied Sciences Dessau Germany

This paper extends the development of a responsive built-environment capable of expressing intelligence with respect to both ICTs and Adaptive Architecture. The present implementation is built with mutually informing Design-to-Robotic-Production &-Operation (D2RP&O) strategies and methods developed at Delft University of Technology (TUD). With respect to D2RP, a responsive stage built with deliberately differentiated and function-specific components is revisited and modified. With respect to D2RO, a partially meshed, self-healing, and highly heterogeneous Wireless Sensor and Actuator Network (WSAN) is expanded to integrate proprietary-yet-free cloud-based services. This WSAN is equipped with Machine Learning (ML) mechanisms based on Support Vector Machine (SVM) classifiers for Human Activity Recognition (HAR). The frequency and/or absence of certain activities, in conjunction with processed data streamed from environment-embedded sensing mechanisms, trigger actuations in the built-environment in order to mitigate fatigue, encourage activity / interactivity;and to promote general well-being in the user. A voice-enabled mechanism based on Amazon®’s Alexa Voice Service (AVS) is integrated into the ecosystem to connect the built-environment with services and resources in the World Wide Web (WWW). Furthermore, a notifications mechanism based on Google®’s Gmail© API as well as Twilio®’s REST© API enable instances of fatigue to be reported to third-parties. The present interdisciplinary development attempts to promote an alternative approach to existing Ambient intelligence (AmI) and Ambient Assisted Living (AAL) frameworks. © ISARC 2018 - 35th international symposium on automation and robotics in Construction and international AEC/FM Hackathon: The Future of Building Things. All rights reserved.

关键词： Ambient intelligence

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A high-resolution intelligence implementation based on Design-to-Robotic-Production and -Operation strategies 34

A high-resolution intelligence implementation based on Desig...

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34th international symposium on automation and robotics in Construction, ISARC 2017

作者： Cheng, A. Liu Bier, H.H. Latorre, G. Kemper, B. Fischer, D. Faculty of Architecture and the Built Environment Delft University of Technology Delft Netherlands Facultad de Ingeniería de Sistemas Escuela Politécnica Nacional Quito Ecuador

This paper presents an initial proof-of-concept implementation of a comprehensively intelligent built-environment based on mutually informing Design-to-Robotic-Production and -Operation (D2RP&O) strategies and methods developed at Delft University of Technology (TUD). In this implementation, D2RP is expressed via deliberately differentiated and function-specialized components, while D2RO expressions subsume an extended Ambient intelligence (AmI) enabled by a Cyber-Physical System (CPS). This CPS, in turn, is built on a heterogeneous, scalable, self-healing, and partially meshed Wireless Sensor and Actuator Network (WSAN) whose nodes may be clustered dynamically ad hoc to respond to varying computational needs. Two principal and innovative functionalities are demonstrated in this implementation: (1) costeffective yet robust Human Activity Recognition (HAR) via Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) classification models, and (2) appropriate corresponding reactions that promote the occupant's spatial experience and wellbeing via continuous regulation of illumination with respect to colors and intensities to correspond to engaged activities. The present implementation attempts to provide a fundamentally different approach to intelligent built-environments, and to promote a highly sophisticated alternative to existing intelligent solutions whose disconnection between architectural considerations and computational services limits their operational scope and impact.

关键词： Cyber Physical System

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computational framework for power economic dispatch using genetic algorithm

Computational framework for power economic dispatch using ge...

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3rd international Conference on Informatics in Control, automation and robotics

作者： Malik, Tahir Nadeem Abbasi, Abdul Qudus Ahmad, Aftab Univ Engg & Tech Dept Elect Engn Taxila Pakistan Quaid I Azam Univ Dept Comp Sci Islamabad Pakistan Natl Power Control Ctr WAPDA Islamabad Pakistan Univ Engg & Tech Dept Elect Engn Taxila Pakistan

ISBN: (纸本)9728865597

Economic Dispatch Problem (EDP) is the important step in Power System operation and is non-convex optimization problem. It has been solved comprehensively with mathematical programming approaches. However, these approaches handle non-convexity with assumption and resulting in an inaccurate dispatch. Genetic algorithms are potential tools for Economic dispatch solution. computational framework "PED_Frame" has been developed which can handle economic dispatch solutions based on mathematical programming and Genetic Algorithm based approaches independently and in hybrid form. It has been tested on standard three machine and twenty machine test systems.

关键词： artificial intelligence (AI) software architecture framework power economic dispatch (PED) genetic algorithm (GA) GA parameters white-box reuse

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A Machine Learning Approach for Abstraction Based on the Idea of Deep Belief Artificial Neural Networks

A Machine Learning Approach for Abstraction Based on the Ide...

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24th DAAAM international symposium on Intelligent Manufacturing and automation

作者： Neukart, Florian Moraru, Sorin-Aurel Univ Brasov Brasov 500036 Romania

In a time-critical world knowledge at the right time might decide everything. However, storing data does not correspond with understanding the knowledge it contains. Thus, solutions capable of learning problem statements and gathering knowledge from huge amounts of data, be it structured or unstructured, are required. This is where computational intelligence and the introduced approach apply: within this paper, a new method of combining restricted Boltzmann machines and feed forward artificial neural networks is elucidated as well as the accuracy of the resulting solution is proofed. (C) 2014 The Authors. Published by Elsevier Ltd.

关键词： computational Neuroscience computational intelligence Data Mining Artificial Neural Networks

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IMPLEMENTATION OF CONTROL METHODOLOGIES ON THE computational ARCHITECTURE FOR THE UTAH/MIT HAND.

IMPLEMENTATION OF CONTROL METHODOLOGIES ON THE COMPUTATIONAL...

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Proceedings - 1986 IEEE international Conference on robotics and automation.

作者： Narasimhan, Sundar Siegel, David Hollerbach, John M. Biggers, Klaus Gerpheide, George MIT Artificial Intelligence Lab Cambridge MA USA MIT Artificial Intelligence Lab Cambridge MA USA

ISBN: (纸本)0818606959

An overview is presented of the hardware and software systems developed for the Utah-MIT dextrous hand. An innovative task scheduling system and a new implementation of the message-passing based intertask communication system are discussed. Finally, an application program using this system to implement hand-level primitive operations is presented.

关键词： ROBOTS, INDUSTRIAL

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automation Using Robots, Machine Learning, and Artificial intelligence to Enhance Production and Quality 2

Automation Using Robots, Machine Learning, and Artificial In...

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2nd international Conference computational and Characterization Techniques in Engineering and Sciences, IC3TES 2024

作者： Sajja, Guna Sekhar Reddy Addula, Santosh University of the Cumberlands Department of Information Technology WilliamsburgKY United States

ISBN: (纸本)9798350364699

Automating everyday jobs, expanding production, and improving quality are all examples of how the integration of robotic automation and machine intelligence (AI) is causing activities to change. The purpose of this study is to examine the relationship between artificial intelligence (AI) and robotics, specifically focusing on how machine intelligence (ML) algorithms and AI approaches enable androids to do complicated jobs with greater efficiency and precision. Through the automation of everyday and repetitive tasks, organizations can redirect their workers into activities that are more important and innovative. Automated systems that are driven by artificial intelligence can learn and adapt from data, therefore rebuilding their performance over time and ensuring logical quality. This strategy not only increases productivity but also decreases the number of mistakes and the expenses associated with it. It is important to note that the associations of these gadgets stretch across a variety of fields, including manufacturing, healthcare, management, and departments that interact with consumers. This highlights the potential for wider financial and friendly advantages. A discussion of the difficulties and opportunities associated with the integration of mechanics is presented in the last section of the study. Particular attention is paid to the relevance of ongoing innovation and ethical considerations in the configuration of artificial intelligence and robotics. © 2024 IEEE.

关键词： Adversarial machine learning

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Energy performance and lca-driven computational design methodology for integrating modular construction in adaptation of concrete residential towers in cold climates 37

Energy performance and lca-driven computational design metho...

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37th international symposium on automation and robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020

作者： Shahi, Sheida Wozniczk, Patryk Truyensb, Tristan Trudeaub, Ian Haasa, Carl Department of Civil and Environmental Engineering University of Waterloo Canada Entuitive Consulting Engineers Canada

ISBN: (纸本)9789529436347

Adaptation of dated residential towers is an urgent issue due to aging housing infrastructure and growing demand for affordable housing. computational design methodologies have the potential for facilitating optimized design strategies driven by improved energy performance and reduced life-cycle carbon emissions. Modular Construction (MC) can also increase efficiencies in the design and implementation of building adaptation projects and minimize construction waste. The application of MC in the adaptation of existing buildings is gaining interest with improvements to MC technologies and processes, as well as large-scale adoption. There are currently no frameworks for the integration of MC in the adaptation of complex buildings driven by energy performance and Life Cycle Analysis (LCA). To address this gap, a framework is developed for integrating computational design methodologies and design optimization using energy use and LCA for improving overall building adaptation processes. The building adaptation of Ken Soble Tower in Hamilton, Ontario, is used for the functional demonstration. A set of extension modules are considered, and various adaptation scenarios that conform to set design constraints are evaluated for energy use and LCA. The results of this study prove the practicality of using computational design methodologies for the integration of MC in the adaptation of concrete residential towers and can promote the efficiency of improving existing residential infrastructure. © 2020 Proceedings of the 37th international symposium on automation and robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot. All rights reserved.

关键词： Modular construction

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Fast Online Segmentation of Activities from Partial Trajectories

Fast Online Segmentation of Activities from Partial Trajecto...

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IEEE international Conference on robotics and automation (ICRA)

作者： Iqbal, Tariq Li, Shen Fourie, Christopher Hayes, Bradley Shah, Julie A. MIT Comp Sci & Artificial Intelligence Intelligence L 77 Massachusetts Ave Cambridge MA 02139 USA Univ Colorado Dept Comp Sci Boulder CO 80309 USA

ISBN: (纸本)9781538660263

Augmenting a robot with the capacity to understand the activities of the people it collaborates with in order to then label and segment those activities allows the robot to generate an efficient and safe plan for performing its own actions. In this work, we introduce an online activity segmentation algorithm that can detect activity segments by processing a partial trajectory. We model the transitions through activities as a hidden Markov model, which runs online by implementing an efficient particle-filtering approach to infer the maximum a posteriori estimate of the activity sequence. This process is complemented by an online search process to refine activity segments using task model information about the partial order of activities. We evaluated our algorithm by comparing its performance to two state-of-the-art activity segmentation algorithms on three human activity datasets. The proposed algorithm improved activity segmentation accuracy across all three datasets compared with the other two approaches, with a range from 11.3% to 65.5%, and could accurately recognize an activity through observation alone for 31.6% of the initial trajectory of that activity, on average. We also implemented the algorithm onto an industrial mobile robot during an automotive assembly task in which the robot tracked a human worker's progress and provided the worker with the correct materials at the appropriate time.

关键词： Trajectory Hidden Markov models Robots Task analysis computational modeling Prediction algorithms Predictive models

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