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

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Information presentation support of a car robotics system based on humatronics in intelligent transportation systems

引用

4th international symposium on computational intelligence and Industrial Applications, ISCIIA 2010

作者： Chang, Cheng Ohbayashi, Gen Yamaguch, Toru Graduate School of System Design Information and Communications Systems Tokyo Metropolitan University Tokyu Japan Tokyo Metropolitan University Tokyu Japan

ISBN: (纸本)9787121113154

Most traffic accidents are caused by drivers' carelessness and lack of information about the surrounding objects. In this paper, authors develop Information Presentation Support System of a Car robotics System based on humatronics. The main purpose of humatronics is to establish the symmetric interaction between human and electronics system, by giving the system the capability of understanding human. The Car robotics System based on humatronics is used in this research. This Car robotics System is developed on human centered city. And the city is based on humatronics, too. In this city, systems judge the situation and autonomously support human. A car recognizes driver's intention by this Car robotics System, and acquires environmental information by connecting to the network of the human centered city's system. The environmental information is divided into two parts: Foreground information and Background information. Authors develop Information Presentation Support System which presents Foreground information and Background information. Driver is supported by the System. Which can be used to predict the driving reaction beforehand and send a warning signal to the driver in time.

关键词： Intelligent systems

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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...

引用

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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Data collection in a hybrid architecture of mobile devices and sensors

Data collection in a hybrid architecture of mobile devices a...

引用

6th IEEE international symposium on Applied computational intelligence and Informatics, SACI 2011

作者： Stratulat, Bogdan Popa, Mircea Faculty of Automation and Computers Politehnica University of Timisoara Romania

This paper presents a data collection solution in a hybrid architecture of mobile devices and sensors. The mechanism for the interpretation and validation of information will be presented as well as the structure of t... 详细信息

ISBN: (纸本)9781424491094

关键词： Data acquisition

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Proceedings of the First international Workshop on Intelligent Software automation 1

引用

丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Sajid Anwar Abdul Rauf

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Low Cost Point to Point Navigation System

Low Cost Point to Point Navigation System

引用

7th international Conference on automation, robotics and Applications (ICARA)

作者： Spampinato, Giuseppe Bruna, Arcangelo Giacalone, Davide Messina, Giuseppe STMicroelect Syst Res & Applicat Catania Italy

ISBN: (纸本)9781665404693

This document describes a novel low-cost methodology called "Towards and Tangent" for point to point navigation in robotics systems. The system navigates in an unknown environment, and it avoids obstacles to reach the desired point, using only laser range sensor, without any integration with mems or another kind of data. It is composed by two simple steps: head toward the goal and select the direction with the lower angle to overcome the obstacle. In this way, compared to the state of the art algorithms, it requires less computational resources, since it does not need to detect obstacles discontinuities and do not need to follow an obstacle's boundaries. Moreover, a simple state machine can handle both obstacle avoidance and point to point navigation. Even if the system is easy to implement and requires low resources, it reaches high performances, in line with more sophisticated algorithms and works very well in real-time.

关键词： Obstacle avoidance point to point navigation Simultaneous Localization And Mapping (SLAM) robotics

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KRIS: A Robot for Material Transport in Relief Situations

KRIS: A Robot for Material Transport in Relief Situations

引用

2024 international symposium on Safety Security and Rescue robotics

作者： Mallwitz, Martin Weissenrieder, Daniel Origanti, Vamsi Krishna Becker, Tom Sixt, Milan Ralalage, Malika Navaratna Helapita Bernhard, Felix Schoo, Christian Genis, Miguel Martinez Bermpohl, Fabian Maas Genannt Yueksel, Mehmed Kirchner, Frank German Res Ctr Artificial Intelligence DFKI GmbH Robot Innovat Ctr D-28359 Bremen Germany Univ Bremen Dept Math & Informat D-28359 Bremen Germany Fed Agcy Tech Relief THW Bonn Germany

ISBN: (纸本)9798331510961;9798331510954

This paper presents KRIS, a semi-autonomous robot developed for material transport in disaster relief situations. In collaboration with the German Federal Agency for Technical Relief (THW) and the German Research Center for Artificial intelligence (DFKI), KRIS addresses the limitations of manual transport in hazardous environments. The robot is designed for enhanced mobility in rough terrain, featuring modes such as manual control, gesture-based person-following, and autonomous shuttle operation. The system is equipped with advanced sensors, including LiDAR and RGB-D cameras, and employs AI-driven gesture recognition for hands-free operation. Two field tests evaluated KRIS's usability in realistic disaster settings, demonstrating its ability to transport heavy equipment while reducing physical strain on rescue personnel. The findings highlight the potential of KRIS to improve efficiency and safety in disaster relief operations.

关键词： Disasters

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Cracks detection using artificial intelligence to enhance inspection efficiency and analyze the critical defects 37

Cracks detection using artificial intelligence to enhance in...

引用

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

作者： Habbal, Fawaz Alnuaimi, Abdualla Alshamsi, Mohammed Alshaibah, Saleh Aldarmaki, Thuraya Department of Management College of Business International Learning Institute United Arab Emirates Ministry of Infrastructure Development United Arab Emirates Sheikh Zayed Housing Program United Arab Emirates

ISBN: (纸本)9789529436347

Cracks are one of the significant criteria utilized for diagnosing the disintegration of solid structures. Normally, a structural designer with specific information would assess such structures by checking for breaks outwardly, outlining the aftereffects of the examination, and afterward getting ready to investigate information based on their discoveries. A review technique like this is not without a doubt, as it requires manual chronicle of upwards of a few hundred thousand splits individually. However, it additionally cannot precisely identify the length and state of the breaks. To handle the issue, the industry has progressively looked toward utilizing AI detection to conduct a direct based assessment. Researchers are as of now building up a mobile-based intelligence equipped with AI analytics for recognizing splits and different imperfections, which will upgrade the proficiency of the investigation process and enhance the emergency response towards users. This study aims to provide an insight on the most efficient crack detection method by comparing several techniques. It was found out that the hybrid technique was the most efficient method to detect cracks. This technique combines the positive points from both the artificial neural network (ANN) and artificial bee colony (ABC) to come up with a more proper entirely new method. © 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： Crack detection

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Fast Online Segmentation of Activities from Partial Trajectories

Fast Online Segmentation of Activities from Partial Trajecto...

引用

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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iHRC: An AR-Based Interface for Intuitive, Interactive and Coordinated Task Sharing Between Humans and Robots in Building Construction 38

iHRC: An AR-Based Interface for Intuitive, Interactive and C...

引用

38th international symposium on automation and robotics in Construction, ISARC 2021

作者： Amtsberg, Felix Yang, Xiliu Skoury, Lior Wagner, Hans Jakob Menges, Achim Institute for Computational Design and Construction University of Stuttgart Germany

ISBN: (纸本)9789526952413

The research presented in this paper introduces a novel method for Augmented Reality informed human-machine collaboration in the context of timber prefabrication. The concept is based on the craftsman controlled instructive interaction between a High Level of automation (robotic) fabrication setup and a human co-worker. It argues that by enabling the craftsmen to coordinate or take over specific process parts, a significant increase in flexibility and robustness of automated workflows becomes feasible. This is highly relevant within the project-based construction industry where efficient and flexible production of one-off components is predominant. A novel approach to integrate human and robotic co-workers in a joint fabrication setup that we call "Instructive Human Robot Collaboration" is introduced. With Vizor, a computational framework was developed for this purpose. It provides an intuitive interface between human and robotic fabrication units via a mixed reality head-mounted display (HMD). Finally, the proposed method is tested with an initial case study in which a 14-Axis fabrication setup is connected with human craft. The HMD gives a craftsman without any knowledge in robot programming direct control over the fabrication setup and extends its individual skill set. Fabrication tasks can be shared freely and between human and robotic units, enabling a dynamically adaptive workflow. © 2021 Proceedings of the international symposium on automation and robotics in Construction. All rights reserved.

关键词： Augmented reality

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Approximate reasoning and PT-resolution

Approximate reasoning and PT-resolution

引用

IEEE international symposium on computational intelligence in robotics and automation (CIRA)

作者： F.F. Liu Depament of Computer Science & Computer Engineering La Trobe University Bundoora Australia

This paper defines PT'-resolution which is the integration of PT-resolution and approximate reasoning. PT-resolution is a deduction method based on partial intersection and truncation. The integration enables the deduction to handle quantitative data in an approximate manner. It is proved that the PT'-resolution is consistent with PT-resolution.

关键词： Logic programming Equations Computer science Australia Artificial intelligence Particle measurements Set theory

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