Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach

09/22/2019
by   Yazan Mualla, et al.
0

This paper presents an initial design concept and specification of a civilian Unmanned Aerial Vehicle (UAV) management simulation system that focuses on explainability for the human-in-the-loop control of semi-autonomous UAVs. The goal of the system is to facilitate the operator intervention in critical scenarios (e.g. avoid safety issues or financial risks). Explainability is supported via user-friendly abstractions on Belief-Desire-Intention agents. To evaluate the effectiveness of the system, a human-computer interaction study is proposed.

READ FULL TEXT
research
04/17/2019

Explainability in Human-Agent Systems

This paper presents a taxonomy of explainability in Human-Agent Systems....
research
11/15/2018

Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Combining deep neural networks with reinforcement learning has shown gre...
research
11/26/2019

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations

This paper studies the problem of spectrum shortage in an unmanned aeria...
research
06/25/2019

EU H2020 Gauss project. Geo-Fencing Software System

The Geofencing system is the key to operate the Unmanned Aerial Vehicle ...
research
08/04/2022

Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss

Controlling a distributed autonomous unmanned aerial vehicle (UAV) forma...
research
10/25/2021

Observable and Attention-Directing BDI Agents for Human-Autonomy Teaming

Human-autonomy teaming (HAT) scenarios feature humans and autonomous age...
research
08/28/2023

Towards enabling reliable immersive teleoperation through Digital Twin: A UAV command and control use case

This paper addresses the challenging problem of enabling reliable immers...

Please sign up or login with your details

Forgot password? Click here to reset