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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
Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon (eds.) (2020):
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response.
In: Business Process Management Forum, pp. 71-87,
Seville, Spain, Springer, International Conference on Business Process Management (BPM 2020), virtual Conference, 13.-18.09., ISBN 978-3-030-58638-6,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2020
Editors: Fahland, Dirk ; Ghidini, Chiara ; Becker, Jörg ; Dumas, Marlon
Creators: Rebmann, Adrian ; Rehse, Jana-Rebecca ; Pinter, Mira ; Schnaubelt, Marius ; Daun, Kevin ; Fettke, Peter
Title: IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response
Language: English
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.

Title of Book: Business Process Management Forum
Place of Publication: Seville, Spain
Publisher: Springer
ISBN: 978-3-030-58638-6
Uncontrolled Keywords: Rescue robotics, Process assistance, Internet of Things, Activity recognition, Emergency process management
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Simulation, Systems Optimization and Robotics Group
Event Title: International Conference on Business Process Management (BPM 2020)
Event Location: virtual Conference
Event Dates: 13.-18.09.
Date Deposited: 02 Dec 2020 12:53
Additional Information:

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

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