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Dawn M. Tilbury

8 accepted papers

2025

Training Human-Robot Teams by Improving Transparency Through a Virtual Spectator Interface

ICRA 2025

After-action reviews (AARs) are professional discussions that help operators and teams enhance their task performance by analyzing completed missions with peers and professionals. Previous studies comparing different formats of AARs have focused mainly on human teams. However, the inclusion of robot

Cited by 0SourceScholar
2024

Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response

RA-L 2024

In the highly complex and stochastic global, supply chain environments, local enterprise agents seek distributed and dynamic strategies for agile responses to disruptions. Existing literature explores both centralized and distributed approaches, while most work neglects temporal dynamics and the het

Cited by 3SourceScholar
2024

Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control

ICRA 2024poster

Robotic manipulation of deformable linear objects (DLOs) is an active area of research, though emerging applications, like automotive wire harness installation, introduce constraints that have not been considered in prior work. Confined workspaces and limited visibility complicate prior assumptions…

Cited by 2SourceScholar
2020

Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions

ICRA 2020poster

For safe navigation around pedestrians, automated vehicles (AVs) need to plan their motion by accurately predicting pedestrians' trajectories over long time horizons. Current approaches to AV motion planning around crosswalks predict only for short time horizons (1-2 s) and are based on data from pe…

Cited by 45SourceScholar
2020

Context-Adaptive Management of Drivers' Trust in Automated Vehicles

RA-L 2020

Automated vehicles (AVs) that intelligently interact with drivers must build a trustworthy relationship with them. A calibrated level of trust is fundamental for the AV and the driver to collaborate as a team. Techniques that allow AVs to perceive drivers' trust from drivers' behaviors and react acc

Cited by 28SourceScholar
2019

A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies

RA-L 2019

Mass customization and global competition require Cyber-Physical Systems of Systems (CPSoS) to become increasingly flexible. Modern CPSoS have to be able to create a wide and versatile variety of products, which takes centralized approaches to their limits. In addition, they have to produce these pr

Cited by 30SourceScholar
2019

Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems

RA-L 2019

Distributed multi-agent control has been proposed to improve the flexibility of manufacturing systems. Two important components of this control strategy are product agents, representing physical parts in the system, and resource agents, representing the system resources. Product agents request actio

Cited by 30SourceScholar
2017

Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms

RA-L 2017

An important issue in anomaly detection in smart manufacturing systems is the lack of consistency in the formal definitions of anomalies, faults, and attacks. The term anomaly is used to cover a wide range of situations that are addressed by different types of solutions. In this letter, we categoriz

Cited by 57SourceScholar