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

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

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


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 languageEnglish
Title of host publicationAdjunct Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
Number of pages4
Publication date2022
Publication statusPublished - 2022


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