Framing a Guideline for Balancing Task Delegation of Human-Robot Collaboration in Automation processes: A Case Study on Automatic Passenger Boarding Bridge in Amsterdam-based Airport Autonomous Airside Operation

As automation technology continues to transform various industries, achieving both high operational reliability and high efficiency emerges as a critical challenge in task delegation between humans and Automated Systems (ASs). This project, conducted in collaboration with the Royal Schiphol Group (RSG), investigates the intricate dynamics of...

Multi-agent planning and coordination for automated aircraft ground handling

Inspired by the vision of fully autonomous airside operations at Schiphol airport, this study aims to contribute to the short-term goal of automated aircraft ground handling. In this research, we design and evaluate a multi-agent system for planning of automated ground handling. There are two main components in the system: task allocation...

Multi-Agent Pickup and Delivery Problems in Uncertain Environments: Automation of hospital workplaces using autonomous transportation robots

The aging of society, population growth and chronic under-investments in education of healthcare workers have all led to a major imbalance between the demand for healthcare and the supply of healthcare. Autonomous robots can be used to relieve overqualified healthcare workers of their repetitive transportation tasks, allowing them to spend more...

Multi-agent Planning and Coordination for Automated Aircraft Ground Handling

Inspired by the vision of fully autonomous airside operations at Schiphol airport, this study aims to contribute to the short-term goal of automated aircraft ground handling. In this research, we design and evaluate a multi-agent system for planning of automated ground handling. There are two main components in the system, task allocation...

A novel decision support system for optimizing aircraft maintenance check schedule and task allocation

Modern aircraft have thousands of parts, systems, and components that need to be recurrently inspected or replaced. To keep the fleet airworthy, maintenance planners have to schedule the maintenance checks for each aircraft and the associated tasks. In practice, these two complex problems are solved following the experience of planners,...

Intent-Based Coordination of Robotic Autonomous Systems for Persistent Reconnaissance

The introduction of Robotic & Autonomous Systems (RAS) in modern combat seems inevitable, with clear advantages like reduced risk and extensification of personnel. To scope this research, persistent reconnaissance with heterogeneous Unmanned Aerial Vehicles (UAVs) is selected, being one of the more prominent applications. Despite continuous...

Multi-Agent Pickup-and-Delivery in a Distributed Baggage Handling System

Baggage handling systems in airports are generally over-designed and only need to work at full capacity for a couple of months during their lifetime. To cope with varying demand, flexible baggage handling systems are being developed which use Automated Guided Vehicles (AGV) to handle a required capacity. These AGVs transport bags throughout the...

A bin packing approach to solve the aircraft maintenance task allocation problem

This paper addresses the scheduling of aircraft maintenance tasks that must be carried out in multiple maintenance checks to keep a fleet of aircraft airworthy. The allocation of maintenance tasks to maintenance opportunities, also known as the task allocation problem (TAP), is a complex combinatorial problem that needs to be solved daily by...

An Agent-Based Social Simulation Approach to Task Allocation in Aircraft Maintenance Teams

Tighter profit margins and rising aircraft complexity are currently driving the need for aircraft maintenance organizations to increase efficiency. Many organizations believe that digitization is key for improving operational performance. Digitization of the task allocation process at a large aircraft maintenance organization did unexpectedly...

Allocation of moral decision-making in human-agent teams: a pattern approach

Artificially intelligent agents will deal with more morally sensitive situations as the field of AI progresses. Research efforts are made to regulate, design and build Artificial Moral Agents (AMAs) capable of making moral decisions. This research is highly multidisciplinary with each their own jargon and vision, and so far it is unclear...

A practical maintenance task packaging model applicable to aircraft maintenance

This research concerns the problem of scheduling aircraft maintenance tasks, that must be carried in multiple maintenance checks to keep the aircraft airworthy. During this research the allocation of maintenance tasks to their maintenance opportunities is referred to as the task allocation problem. It is a complex combinatorial problem that is...

Doing the right task: Context-aware notification for mobile police teams

The main argument in this thesis is that mobile technology has to adapt information presentation to the mobile use context and Human Factors (attention, workload and individual characteristics). This will provide better support for work in these domains than non-adaptive systems. We expect such context-aware mobile support (CAMS) systems to...

Multiagent task allocation in social networks

This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. We show that the complexity of this problem remains NP-complete. Moreover, it is not approximable within some factor. In contrast to this, we develop an efficient greedy...

Distributed Task Allocation in Social Networks

This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. We show that the complexity of this problem remains NPhard. Moreover, it is not approximable within some factor. We develop an algorithm based on the contract-net...

Mental load and performance at different automation levels