Competition task development for response robot innovation in World Robot Summit

Kimura, Tetsuya; Okugawa, Masayuki; Oogane, Katsuji; Ohtsubo, Yoshikazu; Shimizu, Masaru; Takahashi, Tomoichi; Tadokoro, Satoshı

doi:10.1109/ssrr.2017.8088151

Cited by 14 publications

(8 citation statements)

References 1 publication

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“…This lowers the training requirements for our teams and, in general, improves reliability of the tool in harsh conditions, like those in a rescue operation” (Gissi, ). This perspective is echoed by Prof. Tetsuya Kimura of Nagaoka University of Technology, a developer of the World Robotic Summit (WRS) competition in 2020 (Kimura et al, ), that low operator training requirements are important criteria for adoption by stakeholders, and that this aspect is often not addressed by the research community (Kimura, ). Consequently, many stakeholders choose not to use sensitive or complicated systems if they risk failure due to the challenges of real‐world environments, according to Hisanori Amano, Chief of Planning for Community‐based Cooperation at the National Research Institute of Fire and Disaster in Tokyo, Japan, and more than half of the robotic platforms in use across Japan can be used by every member of the fire brigade (Amano, 2018a).…”

Section: Requirements For Field Deploymentmentioning

confidence: 99%

The current state and future outlook of rescue robotics

Delmerico

Mintchev

Giusti

et al. 2019

Journal of Field Robotics

261

124

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Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real-world environments. Postdisaster scenarios are a particularly relevant target for applying such technologies, due to the challenging conditions faced by rescue workers and the possibility to increase their efficacy while decreasing the risks they face. However, field-deployable technologies for rescue work have requirements for robustness, speed, versatility, and ease of use that may not be matched by the state of the art in robotics research. This paper aims to survey How to cite this article: Delmerico J, Mintchev S, Giusti A, et al. The current state and future outlook of rescue robotics.

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Section: Requirements For Field Deploymentmentioning

confidence: 99%

The current state and future outlook of rescue robotics

Delmerico

Mintchev

Giusti

et al. 2019

Journal of Field Robotics

261

124

View full text Add to dashboard Cite

show abstract

“…The World Robot Summit [17] is an international Robotics Competition which was held for the first time in October 2018. There were a number of leagues, notably rescue, service, and assembly.…”

Section: World Robot Summit Assembly Challengementioning

confidence: 99%

Flexible, adaptive industrial assembly: driving innovation through competition

Hughes

Gilday

Scimeca

et al. 2019

Intel Serv Robotics

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Robotics competitions stimulate the next generation of cutting edge robotics solutions and innovative technologies. The World Robot Summit (WRS) Industrial Assembly challenge posed a key research challenge: how to develop adaptive industrial assembly robots. The overall goal is to develop robots where minimal hardware or software changes are required to manufacture a new or altered product. This will minimise waste and allow the industry to move towards a far more flexible approach to manufacturing; this will provide exciting new technologies for the manufacturing industry and support many new business models and approaches. In this paper, we present an approach where general-purpose grippers and adaptive control approaches have been developed to move towards this research goal. These approaches enable highly flexible and adaptive assembly of a belt drive system. The abilities of this approach were demonstrated by taking part in the WRS Industrial Assembly Challenge. We achieved second place in the kitting challenge and second place in the adaptive manufacturing challenge and were presented with the Innovation Award.

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“…Those tasks were designed for assessing standard performance levels (e.g. mobility, sensing, information collection, wireless communication, remote control, on-site deployment and, durability) required in disaster prevention and responses of robots [3]. Large area inspection (Code name: Task EXP1) was designed to inspect a large area and recognize targets that spread widely over flat and curved * e-mail: naruse@u-aizu.ac.jp spaces, then generate a map of targets quickly and accurately.…”

Section: Introductionmentioning

confidence: 99%

Large Area Inspection Using 3D Point Cloud Data in a Disaster Response Robot

et al. 2021

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Large area inspection using a robot is critical in a disastrous situation; especially when humans are inhabiting the catastrophic environment. Unlike natural environments, such environments lack details. Thus, creating 3D maps and identifying objects has became a challenge. This research suggests a 3D Point Cloud Data (PCD) merging algorithm for the less textured environment, aiming World Robot Summit Standard Disaster Robotics Challenge 2021 (WRS). Spider2020, a robotic system designed by the Robot Engineering Laboratory, University of Aizu, was used in this research. Detecting QR codes in a wall and merging PCD, and generating a wall map are the two main tasks in the competition. The Zxing library was used to detect and decode QR codes, and the results were quite accurate. Since the 3D mapping environment has fewer textures, decoded QR code locations are used as the PCD mapping markers. The position of the PCD file was taken from the location given by the robotic arm in Spider2020. The accuracy of merging PCD was improved by including the position of PCD files in the merging algorithm. The robotic system can be used for Large area Inspections in a disastrous situation.

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Competition task development for response robot innovation in World Robot Summit

Cited by 14 publications

References 1 publication

The current state and future outlook of rescue robotics

The current state and future outlook of rescue robotics

Flexible, adaptive industrial assembly: driving innovation through competition

Large Area Inspection Using 3D Point Cloud Data in a Disaster Response Robot

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