VIEW-FINDER : Robotics assistance to fire-fighting services and Crisis Management

Baudoin, Yvan; Doroftei, Daniela; Cubber, Geert De; Berrabah, Sid Ahmed; Pinzón, Carlos Andrés Torres; Warlet, F.; Gancet, Jérémi; Motard, Elvina; Ilzkovitz, Michel; Nalpantidis, Lazaros; Γαστεράτος, Αντώνιος

doi:10.1109/ssrr.2009.5424172

Cited by 27 publications

(17 citation statements)

References 2 publications

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“…In the Viewfinder Project [5], robotic tools were developed for disaster management and for supporting fire-fighting services. However, the project concentrated mostly on developing the teleoperation and autonomous navigation capabilities [6,7] and did not consider the mobility of the unmanned vehicles on rough terrain.…”

Section: State Of the Artmentioning

confidence: 99%

Unmanned Ground Robots for Rescue Tasks

Berns¹,

Nezhadfard²,

Tosa³

et al. 2017

Search and Rescue Robotics - From Theory to Practice

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This chapter describes two unmanned ground vehicles that can help search and rescue teams in their difficult, but life-saving tasks. These robotic assets have been developed within the framework of the European project ICARUS. The large unmanned ground vehicle is intended to be a mobile base station. It is equipped with a powerful manipulator arm and can be used for debris removal, shoring operations, and remote structural operations (cutting, welding, hammering, etc.) on very rough terrain. The smaller unmanned ground vehicle is also equipped with an array of sensors, enabling it to search for victims inside semi-destroyed buildings. Working together with each other and the human search and rescue workers, these robotic assets form a powerful team, increasing the effectiveness of search and rescue operations, as proven by operational validation tests in collaboration with end users.

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Section: State Of the Artmentioning

confidence: 99%

Unmanned Ground Robots for Rescue Tasks

Berns¹,

Nezhadfard²,

Tosa³

et al. 2017

Search and Rescue Robotics - From Theory to Practice

View full text Add to dashboard Cite

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“…Application scenarios of such autonomous systems range from surveillance and security [12], [1], to environmental surveying [13]. In particular, a large body of work focuses on reconstructing the 3D structure of the environment which is a key information for several tasks such as victim detection and localization in search and rescue [8], [6], [7]. In this scenario, most previous approaches focus on the use of dense sensors that can provide accurate information from the environments such as 2D or 3D laser range finders [14], [15], [16], or more recently the Kinect system [6].…”

Section: Related Workmentioning

confidence: 99%

“…To date, much of the work related to this field focus either on building accurate maps of the environment by using sensors that provide dense measurements (such as laser range finder) [1], [2] or on methodologies for autonomous exploration [3], [4], [5], where robots must be able to plan their movements requiring only limited interactions with the human operator. In such regard, an interesting problem related to autonomous exploration is that of search, where robots explore the environment with the end goal of detecting possible victims that may require assistance [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Visual coverage using autonomous mobile robots for search and rescue applications

Bue

Tamassia

Signorini

et al. 2013

2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

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Abstract-This paper focuses on visual sensing of 3D largescale environments. Specifically, we consider a setting where a group of robots equipped with a camera must fully cover a surrounding area. To address this problem we propose a novel descriptor for visual coverage that aims at measuring visual information of an area based on a regular discretization of the environment in voxels. Moreover, we propose an autonomous cooperative exploration approach which controls the robot movements so to maximize information accuracy (defined based on our visual coverage descriptor) and minimizing movement costs. Finally, we define a simulation scenario based on real visual data and on widely used robotic tools (such as ROS and Stage) to empirically evaluate our approach. Experimental results show that the proposed method outperforms a baseline random approach and an uncoordinated one, thus being a valid solution for visual coverage in large scale outdoor scenarios.

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“…Previous work on humanitarian demining robots has concentrated for a long time on the conception of walking prototypes [3,4,5], due to the advantages of a redundant gait placement strategy on uncertain soil. However, due to the many difficulties confronted when working with (fragile) walking prototypes on rough outdoor terrain, more and more wheeled systems are now being explored and put to the test [6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Teodor: A Semi-Autonomous Search and Rescue and Demining Robot

Cubber

Balta

Lietart

2014

AMM

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Abstract. In this paper, we present a ground robotic system which is developed to deal with rough outdoor conditions. The platform is to be used as an environmental monitoring robot for 2 main application areas: 1) Humanitarian demining: The vehicle is equipped with a specialized multichannel metal detector array. An unmanned aerial system supports it for locating suspected locations of mines, which can then be confirmed by the ground vehicle. 2) Search and rescue: The vehicle is equipped with human victim detection sensors and a 3D camera enabling it to assess the traversability of the terrain in front of the robot in order to be able to navigate autonomously. This paper discusses both the mechanical design of these platforms as the autonomous perception capabilities on board of these vehicles.

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VIEW-FINDER : Robotics assistance to fire-fighting services and Crisis Management

Cited by 27 publications

References 2 publications

Unmanned Ground Robots for Rescue Tasks

Unmanned Ground Robots for Rescue Tasks

Visual coverage using autonomous mobile robots for search and rescue applications

Teodor: A Semi-Autonomous Search and Rescue and Demining Robot

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