The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming

Christian  Lyhne Ibsen; Kasper Andreas Rømer Grøntved; Maria-Theresa Oanh Hoang; Alexandra Hettich; Niels van Berkel; Mikael Skov; Alea Scovill; Gareth Edwards; Kenneth Richard Geipel; Lars Dalgaard; Ulrik Pagh Schultz  Lundquist; Ioanna Constantiou; Christiane  Lehrer; Timothy Merritt

The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming

Christian Lyhne Ibsen, Kasper Andreas Rømer Grøntved, Maria-Theresa Oanh Hoang, Alexandra Hettich, Niels van Berkel, Mikael Skov, Alea Scovill, Gareth Edwards, Kenneth Richard Geipel, Lars Dalgaard, Ulrik Pagh Schultz Lundquist, Ioanna Constantiou, Christiane Lehrer, Timothy Merritt

Department of Digitalization

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Large-scale multi-robot systems have numerous potential real-world applications. It is, however, still unclear how a human operator can effectively engage and control a system composed of multiple autonomous robots, especially in unstructured and outdoor environments. This paper reports on ongoing work in the project HERD — Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones, in which we focus on two concrete use cases from industrial partners, namely farming and search & rescue. One of the industrial partners, Agro Intelligence ApS, currently sells autonomous farming robots, while the other, Robotto ApS, develops autonomous drone-based monitoring solutions for emergency responders. Both partners aim to scale their technologies to multi-robot/multi-drone operations. In this paper, we present the two use cases, their differences and similarities, challenges and preliminary results.

Original language	English
Title of host publication	Adjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Number of pages	4
Publisher	IEEE
Publication date	2022
Pages	1-4
Publication status	Published - 2022
Event	The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems - Kyoto International Conference Center, Kyoto, Japan Duration: 23 Oct 2022 → 27 Oct 2022 https://iros2022.org/

Conference

Conference	The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems
Location	Kyoto International Conference Center
Country/Territory	Japan
City	Kyoto
Period	23/10/2022 → 27/10/2022
Internet address	https://iros2022.org/

Keywords

Human-robot interaction
Search and rescue
Agricultural robotics
Swarm robotics

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https://nielsvanberkel.com/files/publications/iros2022a.pdfLicence: Unspecified

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Cite this

Lyhne Ibsen, C., Grøntved, K. A. R., Hoang, M.-T. O., Hettich, A., van Berkel, N., Skov, M., Scovill, A., Edwards, G., Geipel, K. R., Dalgaard, L., Lundquist, U. P. S., Constantiou, I., Lehrer, C., & Merritt, T. (2022). The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming. In Adjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1-4). IEEE. https://nielsvanberkel.com/files/publications/iros2022a.pdf

@inproceedings{31b117e51c21488bbe76bf05462965dd,

title = "The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming",

abstract = "Large-scale multi-robot systems have numerous potential real-world applications. It is, however, still unclear how a human operator can effectively engage and control a system composed of multiple autonomous robots, especially in unstructured and outdoor environments. This paper reports on ongoing work in the project HERD — Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones, in which we focus on two concrete use cases from industrial partners, namely farming and search & rescue. One of the industrial partners, Agro Intelligence ApS, currently sells autonomous farming robots, while the other, Robotto ApS, develops autonomous drone-based monitoring solutions for emergency responders. Both partners aim to scale their technologies to multi-robot/multi-drone operations. In this paper, we present the two use cases, their differences and similarities, challenges and preliminary results.",

keywords = "Human-robot interaction, Search and rescue, Agricultural robotics, Swarm robotics, Human-robot interaction, Search and rescue, Agricultural robotics, Swarm robotics",

author = "{Lyhne Ibsen}, Christian and Gr{\o}ntved, {Kasper Andreas R{\o}mer} and Hoang, {Maria-Theresa Oanh} and Alexandra Hettich and {van Berkel}, Niels and Mikael Skov and Alea Scovill and Gareth Edwards and Geipel, {Kenneth Richard} and Lars Dalgaard and Lundquist, {Ulrik Pagh Schultz} and Ioanna Constantiou and Christiane Lehrer and Timothy Merritt",

year = "2022",

language = "English",

pages = "1--4",

booktitle = "Adjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)",

publisher = "IEEE",

address = "United States",

note = "The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 ; Conference date: 23-10-2022 Through 27-10-2022",

url = "https://iros2022.org/",

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Lyhne Ibsen, C, Grøntved, KAR, Hoang, M-TO, Hettich, A, van Berkel, N, Skov, M, Scovill, A, Edwards, G, Geipel, KR, Dalgaard, L, Lundquist, UPS, Constantiou, I , Lehrer, C & Merritt, T 2022, The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming. in Adjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, pp. 1-4, The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, Kyoto, Japan, 23/10/2022. <https://nielsvanberkel.com/files/publications/iros2022a.pdf>

The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming. / Lyhne Ibsen, Christian ; Grøntved, Kasper Andreas Rømer; Hoang, Maria-Theresa Oanh et al.
Adjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Hoang, Maria-Theresa Oanh

AU - Hettich, Alexandra

AU - van Berkel, Niels

AU - Skov, Mikael

AU - Scovill, Alea

AU - Edwards, Gareth

AU - Geipel, Kenneth Richard

AU - Dalgaard, Lars

AU - Lundquist, Ulrik Pagh Schultz

AU - Constantiou, Ioanna

AU - Lehrer, Christiane

AU - Merritt, Timothy

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AB - Large-scale multi-robot systems have numerous potential real-world applications. It is, however, still unclear how a human operator can effectively engage and control a system composed of multiple autonomous robots, especially in unstructured and outdoor environments. This paper reports on ongoing work in the project HERD — Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones, in which we focus on two concrete use cases from industrial partners, namely farming and search & rescue. One of the industrial partners, Agro Intelligence ApS, currently sells autonomous farming robots, while the other, Robotto ApS, develops autonomous drone-based monitoring solutions for emergency responders. Both partners aim to scale their technologies to multi-robot/multi-drone operations. In this paper, we present the two use cases, their differences and similarities, challenges and preliminary results.

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KW - Human-robot interaction

KW - Search and rescue

KW - Agricultural robotics

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