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IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response

Rebmann, Adrian ; Rehse, Jana-Rebecca ; Pinter, Mira ; Schnaubelt, Marius ; Daun, Kevin ; Fettke, Peter
Hrsg.: Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon (2020)
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response.
International Conference on Business Process Management (BPM 2020). virtual Conference (13.-18.09.)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Mobile robots like drones or ground vehicles can be a valuable addition to emergency response teams, because they reduce the risk and the burden for human team members. However, the need to manage and coordinate human-robot team operations during ongoing missions adds an additional dimension to an already complex and stressful situation. BPM approaches can help to visualize and document the disaster response processes underlying a mission. In this paper, we show how data from a ground robot's reconnaissance run can be used to provide process assistance to the officers. By automatically recognizing executed activities and structuring them as an ad-hoc process instance, we are able to document the executed process and provide real-time information about the mission status. The resulting mission progress process model can be used for additional services, such as officer training or mission documentation. Our approach is implemented as a prototype and demonstrated using data from an ongoing research project on rescue robotics.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2020
Herausgeber: Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon
Autor(en): Rebmann, Adrian ; Rehse, Jana-Rebecca ; Pinter, Mira ; Schnaubelt, Marius ; Daun, Kevin ; Fettke, Peter
Art des Eintrags: Bibliographie
Titel: IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
Sprache: Englisch
Publikationsjahr: 2 September 2020
Ort: Seville, Spain
Verlag: Springer
Buchtitel: Business Process Management Forum
Veranstaltungstitel: International Conference on Business Process Management (BPM 2020)
Veranstaltungsort: virtual Conference
Veranstaltungsdatum: 13.-18.09.
Kurzbeschreibung (Abstract):

Mobile robots like drones or ground vehicles can be a valuable addition to emergency response teams, because they reduce the risk and the burden for human team members. However, the need to manage and coordinate human-robot team operations during ongoing missions adds an additional dimension to an already complex and stressful situation. BPM approaches can help to visualize and document the disaster response processes underlying a mission. In this paper, we show how data from a ground robot's reconnaissance run can be used to provide process assistance to the officers. By automatically recognizing executed activities and structuring them as an ad-hoc process instance, we are able to document the executed process and provide real-time information about the mission status. The resulting mission progress process model can be used for additional services, such as officer training or mission documentation. Our approach is implemented as a prototype and demonstrated using data from an ongoing research project on rescue robotics.

Freie Schlagworte: Rescue robotics, Process assistance, Internet of Things, Activity recognition, Emergency process management
Zusätzliche Informationen:

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 392)

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik
Hinterlegungsdatum: 02 Dez 2020 12:53
Letzte Änderung: 02 Dez 2020 12:53
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