Human-Friendly Control of Drones and Drone Swarms Using Natural Language and AI-Based Task Decomposition

Open Access
Article
Conference Proceedings
Authors: Geert De CubberDaniela Doroftei
Abstract

The deployment of drones and swarms of small drones for operational purposes is rapidly increasing the load on human operators especially if interaction relies on low-level control interfaces. This paper reports work carried out as part of a project on human-centric drone control by natural language interaction and AI-augmented task understanding. With the proposed method, operators are able to give high-level commands to single or small groups of drones and task-representations are structured from these commands and executed with predefined mission primitives. The focus of the system is to promote transparency and operator supervision through explicit feedback about the interpretation of tasks and task execution.

Keywords: Human–drone Interaction, Natural Language Interfaces, Drone Swarms, Human-centred Autonomy

DOI: 10.54941/ahfe1007683

Cite this paper
Downloads
0
Visits
1
Download PDF

More from this volume

Human Factors in the Design of Human–Machine Interfaces for Counter-Drone SystemsEuropean University–Industry Collaboration for Civil Counter-Drone Protection: A Human-Centered, AI-Game-Based Socio-Technical Systems Approach
View all articles in Human Factors in Robots, Drones and Unmanned Systems