The current state and future outlook of rescue robotics

Delmerico, Jeffrey A.; Mintchev, Stefano; Giusti, Alessandro; Gromov, Boris; Melo, Kamilo; Horvat, Tomislav; Cadena, César; Hutter, Marco; Ijspeert, Auke Jan; Floreano, Dario; Gambardella, Luca Maria; Siegwart, Roland; Scaramuzza, Davide

doi:10.1002/rob.21887

Cited by 209 publications

(108 citation statements)

References 151 publications

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“…Even with a TLS, interior cavities with connections to the outside could only be detected to a limited extent (Figure 7). Recent work has demonstrated UAVs operating increasingly autonomously and effectively in interior, largely-GPS-denied spaces [85]. There has been a surge in research on UAV-based indoor mapping, both with single platforms and swarms.…”

Section: Indoor Mappingmentioning

confidence: 99%

UAV-Based Structural Damage Mapping: A Review

Kerle

Nex

Gerke

et al. 2019

IJGI

117

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Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed. The proliferation and growing sophistication of unmanned aerial vehicles (UAVs) in recent years has opened up many new opportunities for damage mapping, due to the high spatial resolution, the resulting stereo images and derivatives, and the flexibility of the platform. This study provides a comprehensive review of how UAV-based damage mapping has evolved from providing simple descriptive overviews of a disaster science, to more sophisticated texture and segmentation-based approaches, and finally to studies using advanced deep learning approaches, as well as multi-temporal and multi-perspective imagery to provide comprehensive damage descriptions. The paper further reviews studies on the utility of the developed mapping strategies and image processing pipelines for first responders, focusing especially on outcomes of two recent European research projects, RECONASS (Reconstruction and Recovery Planning: Rapid and Continuously Updated Construction Damage, and Related Needs Assessment) and INACHUS (Technological and Methodological Solutions for Integrated Wide Area Situation Awareness and Survivor Localization to Support Search and Rescue Teams). Finally, recent and emerging developments are reviewed, such as recent improvements in machine learning, increasing mapping autonomy, damage mapping in interior, GPS-denied environments, the utility of UAVs for infrastructure mapping and maintenance, as well as the emergence of UAVs with robotic abilities.

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Section: Indoor Mappingmentioning

confidence: 99%

UAV-Based Structural Damage Mapping: A Review

Kerle

Nex

Gerke

et al. 2019

IJGI

117

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“…Such warning information can be accessed and communicated to SAR crew and the public as deem fit. In warning context, information by manned and unmanned equipment can provide thermal imaging to help spot risk, temperature level in people and identify survivors [6]. Beyond their use in surveillance, UAVs have also been used to provide lifesaving supplies across some of the most remote regions of the world.…”

Section: Application Of Robotics For Warning and Sarmentioning

confidence: 99%

“…Such shortcomings are either due to escalating situations, evolving risk or complex disaster environment [5], all of which have motivated improvement of robotic technologies, and its extended application for disaster prevention where possible, early warning, rescue and or recovery efforts. As noticed in recent times, robots are either replacing humans or working with humans in high risk interventions while ensuring operational efficiency, safety and security of humans [6]. However, some responders are not always aware of these highly effective technological tools or at times have limited knowledge of how best to maximize their use for their agency and for public safety.…”

Section: Introduction mentioning

confidence: 99%

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Robotics for Disaster Warning and Response in the UAE

Hmoudi¹

2020

JESE-B

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Over the past decade, robot systems have become more commonplace and increasingly autonomous. In recent years, first responders have started to use novel technologies at the scene of disasters in order to save more lives. Technologies are also used for early warning, surveillance and to enhance disaster response capabilities. Increasingly, technologies like robots are used for warning people, monitoring compliance, SAR (Search and Rescue), damage assessment, to search disaster sites. In the case of emergency situations, emergency guidance robots are sent inside of buildings or deployed to search for victims, guide evacuees to safety and other unsafe response tasks. This paper explores the application of robotics for disaster warning and response, benefits and factors influencing deployment of robots, in order to justify the effective usage of robotics for disaster management in the UAE (United Arab Emirates). A pilot study is conducted to achieve this aim, with 24 participants selected through random sampling from three emergency organizations in the country. To increase knowledge and usage of robotics for future disaster warning and response in UAE, it is needful to continue to highlight the role of robotics deployment in helping to minimize risks and disaster impacts on first responders and the public.

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“…Handling heavy radioactive materials, such as fuel rods or contaminated waste, as well as test, inspection, maintenance, and repair operations have been performed with robots for many years. A demolition robot is a kind of remote-controlled machine that is specially designed for working in dangerous environments and is widely applied in fields like nuclear facility emergencies and nuclear facility decommissioning [1,2]. Demolition robots are multifunctional, and their attachments, such as a bucket, grapple, metal shear, or breaker, can be changed based on different working conditions.…”

Section: Introductionmentioning

confidence: 99%

Research on Visualization and Error Compensation of Demolition Robot Attachment Changing

Deng

Zou

Chen

et al. 2020

Sensors

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Attachment changing in demolition robots has a high docking accuracy requirement, so it is hard for operators to control this process remotely through the perspective of a camera. To solve this problem, this study investigated positioning error and proposed a method of error compensation to achieve a highly precise attachment changing process. This study established a link parameter model for the demolition robot, measured the error in the attachment changing, introduced a reference coordinate system to solve the coordinate transformation from the dock spot of the robot’s quick-hitch equipment to the dock spot of the attachment, and realized error compensation. Through calculation and experimentation, it was shown that the error compensation method proposed in this study reduced the level of error in attachment changing from the centimeter to millimeter scale, thereby meeting the accuracy requirements for attachment changing. This method can be applied to the remote-controlled attachment changing process of demolition robots, which provides the basis for the subsequent automatic changing of attachments. This has the potential to be applied in nuclear facility decommissioning and dismantling, as well as other radioactive environments.

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The current state and future outlook of rescue robotics

Cited by 209 publications

References 151 publications

UAV-Based Structural Damage Mapping: A Review

UAV-Based Structural Damage Mapping: A Review

Robotics for Disaster Warning and Response in the UAE

Research on Visualization and Error Compensation of Demolition Robot Attachment Changing

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