Validation of avalanche beacons implemented in a robot for urban search and rescue

Kinugasa, Tetsuya; Matsuoka, Kazuki; Miyamoto, Naoki; Iwado, Ryuto; Yoshida, Kōji; Okugawa, Masayuki; Nara, Takaaki; Kurisu, Masamitsu

doi:10.1109/mecatronics.2016.7547125

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The authors identify two key benefits of using multiple agents: robustness through redundancy and minimization of search time. In [67], the authors study the potential of using ATs in urban scenarios for SAR missions with autonomous robots, where the victims are assumed to have ATs with them before an accident happens.…”

Section: B Operational Environmentmentioning

confidence: 99%

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

Queralta,

Taipalmaa,

Pullinen

et al. 2020

Preprint

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Autonomous or teleoperated robots have been playing increasingly important roles in civil applications in recent years. Across the different civil domains where robots can support human operators, one of the areas where they can have more impact is in search and rescue (SAR) operations. In particular, multi-robot systems have the potential to significantly improve the efficiency of SAR personnel with faster search of victims, initial assessment and mapping of the environment, real-time monitoring and surveillance of SAR operations, or establishing emergency communication networks, among other possibilities. SAR operations encompass a wide variety of environments and situations, and therefore heterogeneous and collaborative multirobot systems can provide the most advantages. In this paper, we review and analyze the existing approaches to multi-robot SAR support, from an algorithmic perspective and putting an emphasis on the methods enabling collaboration among the robots as well as advanced perception through machine vision and multi-agent active perception. Furthermore, we put these algorithms in the context of the different challenges and constraints that various types of robots (ground, aerial, surface or underwater) encounter in different SAR environments (maritime, urban, wilderness or other post-disaster scenarios). This is, to the best of our knowledge, the first review considering heterogeneous SAR robots across different environments, while giving two complimentary points of view: control mechanisms and machine perception. Based on our review of the state-of-the-art, we discuss the main open research questions, and outline our insights on the current approaches that have potential to improve the real-world performance of multi-robot SAR systems.

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Section: B Operational Environmentmentioning

confidence: 99%

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

Queralta,

Taipalmaa,

Pullinen

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Dipole approximation is a common simplified method in magnetic field research, and there are also references to explain this method based on physical theory [1]. This approximation method is often used in the field of magnetic anomaly detection, such as the positioning of medical capsule endoscope [2], magnetic anomaly detection experiment [3], magnetic sensor array calibration [4], magnetic beacon positioning in disaster rescue [5], etc. Apart from that, magnetic dipole also has application in control of magnetic device [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Design Method of Magnetic Dipole Simulator With High Fitting Accuracy

et al. 2022

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Dipole approximation is a common simplified method in magnetic field research, which is widely used in magnetic anomaly detection, control of magnetic device and magnetic field experiment. The accuracy of magnetic dipole approximation will determine the upper limit of related applications. Previous studies have shown that the dipole approximation of a typical magnetic dipole simulator (e.g., a solenoid coil) can lead to a positioning error of up to 50% in localization of magnetic object in near field. In order to solve this problem, this paper aims to design a coil structure that fits well with the standard magnetic dipole. Firstly, the structure of cylindrical solenoid with planar symmetry and rotational symmetry is optimized and analyzed. On this basis, a multi-layer solenoid structure with rotational symmetry and plane symmetry is proposed. Then, the coil structure is optimized by gradient descent method, taking the inner and outer radius, height, layer spacing and quantity of the solenoid as variables. Compared with the traditional coil, this coil structure can greatly reduce the error of dipole approximation, and has the advantages of large magnetic moment and small geometric size. Simulation results show that the positioning error percentage can be reduced to less than 0.2% when the new-type coil is tested in the same area.

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Validation of avalanche beacons implemented in a robot for urban search and rescue

Cited by 2 publications

References 3 publications

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

A Novel Design Method of Magnetic Dipole Simulator With High Fitting Accuracy

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