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Author (up) Antonin Segault; Federico Tajariol; Yang Ishigaki; Ioan Roxin pdf  isbn
openurl 
  Title #geiger 2: Developing Guidelines for Radiation Measurements Sharing on Social Media Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Twitter; Nuclear Post-Accident; Radiation; Robots; Syntax  
  Abstract Radiation measurements are key information in post-nuclear accident situations. Automated Twitter accounts have been used to share the readings, but often in an incomplete way from the perspective of data sharing and risk communication between citizen and radiation experts. In this paper, we investigate the requirements for radiation measurements completeness, by analyzing the perceived usefulness of several metadata items that may go along the measurement itself. We carried out a benchmark of existing uses, and conducted a survey with both experts and lay citizens. We thus produced a set of guidelines regarding the metadata that should be used, and the way to publish it.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1394  
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Author (up) Corine H.G. Horsch; Nanja J. J. M. Smets; Mark A. Neerincx; Raymond H. Cuijpers pdf  isbn
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  Title Comparing performance and situation awareness in USAR unit tasks in a virtual and real environment Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 556-560  
  Keywords Experiments; Information systems; Robots; Comparison virtual reality and reality; Elementary task; Gaming experiences; Individual Differences; Performance; Real environments; Situation awareness; Urban search and rescue; Virtual reality  
  Abstract A convenient way to test Urban Search And Rescue (USAR) robots would be in virtual environments (VEs). Evaluations in VEs are generally accepted as alternative for real scenarios. There are obvious differences between operation in a real and virtual environment. Nonetheless, the current experiment showed no significant differences in situation awareness (SA) and performance during several elementary tasks (e.g. slalom) between a virtual world and a previous experiment in reality (Mioch, Smets, & Neerincx, 2012). Only small dependencies between the unit tasks were found. The effect of individual differences (like gender, km driven per year, and gaming experience), were significant for certain elementary tasks. Testing robots in virtual environments could still be useful even if differences between VE and reality exist, since comparisons of different conditions in VE seems to have the same results as the same comparison in the field (Bishop & Rohrmann, 2003; Van Diggelen, Looije, Mioch, Neerincx, & Smets, 2012).  
  Address Delft University of Technology, Netherlands; TNO/ Delft University of Technology, Netherlands; Eindhoven University of Technology, Netherlands  
  Corporate Author Thesis  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Innovations in Research Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 595  
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Author (up) Martin Voshell; Stijn Oomes pdf  isbn
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  Title Coordinating (Shared) perspectives in robot assisted search & rescue Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 188-196  
  Keywords Human computer interaction; Human resource management; Information systems; Human perceptual system; Navigation problem; Perceptual ambiguities; Position and orientations; Remote perception; Search and rescue robot; Software interfaces; Urban search and rescue; Robots  
  Abstract From high fidelity field exercises to disaster response deployments, search and rescue robots are being readily integrated into rescue operations. Previous research has proposed that for such new technology to be successful in an operation the organization architecture needs to support the coordination of shared perspectives between the human team members and the robotic platforms. For this, the robot platforms need to be effective team players in the field of practice. Based on this conceptual model, this paper introduces a novel software interface utilizing virtual position and orientation indicators to alleviate perceptual ambiguities and navigation problems experienced by robot handlers and problem holders. By actively orchestrating and sharing these indicators between handler and operator displays, the interface caters to user expertise and to the natural competency of the human perceptual system. These probes provide a basic tool for aiding robot navigation and way-finding fundamental to effective team coordination and communication in urban search and rescue missions.  
  Address Ohio State University, Cognitive Systems Engineering Laboratory, Columbus, OH, United States; Delft University of Technology Man-Machine Interaction, Delft, Netherlands  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track COMMUNICATION CHALLENGES IN EMERGENCY RESPONSE Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1054  
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Author (up) Rosemarijn Looije; Mark A. Neerincx; Geert-Jan M. Kruijff pdf  isbn
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  Title Affective collaborative robots for safety & crisis management in the field Type Conference Article
  Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007  
  Volume Issue Pages 497-506  
  Keywords Human robot interaction; Man machine systems; Affective communication; Affective Computing; Cognitive architectures; Cognitive workloads; Collaborative control; Collaborative robots; Decision process; Human-robot collaboration; Human computer interaction  
  Abstract The lack of human-robot collaboration currently presents a bottleneck to widespread use of robots in urban search & rescue (USAR) missions. The paper argues that an important aspect of realizing human-robot collaboration is collaborative control, and the recognition and expression of affect. Affective collaborative robots can enhance joint human-robot performance by adapting the robot's (social) role and interaction to the user's affective state and the context. Current USAR robots lack these capabilities. This paper presents theory, application domains, and requirements for affective collaborative robots based on the current state of the art. With methods from cognitive architectures, affective computing, and human-robot interaction, three core functions of affective collaborative robots can be realized: sliding autonomy, affective communication, and adaptive attitude. These robot functions can substantially enhance the efficiency and effectiveness of rescue workers and meanwhile reduce their cognitive workload. Furthermore, robots with such functions can approach civilians in the field appropriately.  
  Address TNO Defense, Security and Safety, Delft University of Technology, Netherlands; German Research Center for Artificial Intelligence (DFKI GmbH), Germany  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium  
  Track EMOT Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 723  
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Author (up) Sanfilippo, F.; Rañó, I. pdf  doi
isbn  openurl
  Title Mimicking the Sense of Smell of Search and Rescue (SAR) Dogs: a Bio-inspired Steering Framework for Quadruped Robots Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 892-901  
  Keywords Quadruped Robots; Search and Rescue (SAR); Dogs; Perception  
  Abstract Due to their sense of smell and ability to explore areas for missing people, dogs are valuable for search and rescue (SAR). Canines can discover humans under water, under snow, and even beneath crumbling structures because they can smell human scent. Building unmanned autonomous quadruped robots with canine agility is an attractive step to fully replicate the capabilities of dogs. Robots with legs are already capable of mimicking some of the physical traits of dogs, such as the capacity to traverse rough terrain. However, they would need to replicate also the level of sensory perception of a dog to successfully perform SAR operations. To achieve this, a navigation strategy that uses a direct sensor-motor coupling by following the principles of the Braitenberg vehicles is adopted in this work. This paper represents one of the first steps towards the connection of bio-inspired sensor-based steering mechanisms and bio-inspired locomotion for quadruped robots.  
  Address Department of Engineering Sciences, University of Agder (UiA); Department of Electronics and Computing, University of Santiago de Compostela (USC)  
  Corporate Author Thesis  
  Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi  
  Language English Summary Language Original Title  
  Series Editor Hosssein Baharmand Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 1  
  ISSN 2411-3387 ISBN 979-8-218-21749-5 Medium  
  Track Collaborative Robots for Emergency Situations Expedition Conference  
  Notes http://dx.doi.org/10.59297/FBHP3870 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2573  
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Author (up) Van Tuan Le; Serge Stinckwich; Noury Bouraqadi; Arnaud Doniec pdf  isbn
openurl 
  Title Role-based dynamic coalitions of multi-tasked rescue robots Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Human resource management; Information systems; Robotics; Dynamic coalitions; Multirobot systems; Rescue robot; Rescue robotics; Role allocation; Role-based; Search and Rescue Robotics; Team coordination; Robots  
  Abstract Organizations allow structuring and coordinating the activities of robots that take part in a multi-robot system (MRS). Within a given organization, each robot is assigned to a role that governs its behavior and its interactions with the other members of the MRS. In this paper; we investigate in a class of problems where role allocation must be done dynamically. This applies, for example in the context of rescue robotic applications where neither the number of robots nor characteristics are known a priori. Furthermore, tasks to be performed are not necessarily all known or at least a portion of the information remains to be discovered (e.g. locations of victims). Finally, some robots may temporarily leave the MRS (for battery recharging) or permanently due to failure or breakage. We propose a solution that can dynamically allocate roles to robots and revise the allocation. This revision takes place in case of failure of agents or in case of discovery of a new task. This allocation allows agents to participate in several tasks. © 2012 ISCRAM.  
  Address Université de Lille-Nord de France, Ecole des Mines de Douai, France; UMMISCO, UMI 209, Hanoi, Viet Nam; GREYC, UMR 6072, Caen, France  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Intelligent Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 152  
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Author (up) Vladimir Zadorozhny; Pei-Ju Lee; Michael Lewis pdf  isbn
openurl 
  Title Collaborative Information Sensemaking for Multi-Robot Search and Rescue Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords crowdsoursing; information fusion; Mobile robots; search and rescue mission; sensemaking  
  Abstract In this paper, we consider novel information sensemaking methods for search and rescue operations that combine principles of information fusion and collective intelligence in scalable solutions. We will elaborate on several approaches that originated in different areas of information integration, sensor data management, and multi-robot urban search and rescue missions.  
  Address  
  Corporate Author Thesis  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Decision Support Systems Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1289  
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