Lukas Esterle

Lukas Esterle

Aarhus Universitet

H-index: 21

Europe-Denmark

About Lukas Esterle

Lukas Esterle, With an exceptional h-index of 21 and a recent h-index of 15 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of Self-Awareness, Autonomous Systems, Machine Learning, Cyber-physical Systems, Digital Twins.

His recent articles reflect a diverse array of research interests and contributions to the field:

Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks

fmiSwap: Run-time Swapping of Models for Co-simulation and Digital Twins

Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities

Addressing time discrepancy between digital and physical twins

Building Safer Robots: From Simulation to Hardware Deployment

Adaptive parameterization of deep learning models for federated learning

Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems

Dynamic Runtime Integration of New Models in Digital Twins

Lukas Esterle Information

University

Position

Tenure-track Assistant Professor

Citations(all)

1490

Citations(since 2020)

890

Cited By

927

hIndex(all)

21

hIndex(since 2020)

15

i10Index(all)

40

i10Index(since 2020)

28

Email

University Profile Page

Aarhus Universitet

Google Scholar

View Google Scholar Profile

Lukas Esterle Skills & Research Interests

Self-Awareness

Autonomous Systems

Machine Learning

Cyber-physical Systems

Digital Twins

Top articles of Lukas Esterle

Title

Journal

Author(s)

Publication Date

Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks

Gianluca Aguzzi

Mirko Viroli

Lukas Esterle

2023/9/25

fmiSwap: Run-time Swapping of Models for Co-simulation and Digital Twins

arXiv preprint arXiv:2304.07328

Henrik Ejersbo

Kenneth Lausdahl

Mirgita Frasheri

Lukas Esterle

2023/3/20

Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities

A Armacki

N Milosevic

D Bajovic

S Kar

D Jakovetic

...

2023/9/4

Addressing time discrepancy between digital and physical twins

Robotics and Autonomous Systems

Mirgita Frasheri

Henrik Ejersbo

Casper Thule

Cláudio Gomes

Jakob Levisen Kvistgaard

...

2023/3/1

Building Safer Robots: From Simulation to Hardware Deployment

Mirgita Frasheri

Gill Lumer-Klabbers

Jakob Levisen Kvistgaard

Jacob Odgaard Hausted

Casper Thule

...

2023/8/22

Adaptive parameterization of deep learning models for federated learning

arXiv preprint arXiv:2302.02949

Morten From Elvebakken

Alexandros Iosifidis

Lukas Esterle

2023/2/6

Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems

Peter Gorm Larsen

Lukas Esterle

John Fitzgerald

Mirgita Frasheri

2023/8/17

Dynamic Runtime Integration of New Models in Digital Twins

Henrik Ejersbo

Kenneth Lausdahl

Mirgita Frasheri

Lukas Esterle

2023/5/15

GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem

Mirgita Frasheri

Branko Miloradović

Lukas Esterle

Alessandro V Papadopoulos

2023/12/5

Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges

Lukas Esterle

Nikil Dutt

Christian Gruhl

Peter R Lewis

Lucio Marcenaro

...

2023/4/17

Towards easy robot system integration: Challenges and future directions

Daniella Tola

Emil Madsen

Cláudio Gomes

Lukas Esterle

Christian Schlette

...

2022/1/9

Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails

Proceedings of IASS Annual Symposia

Markus Hudert

Morten From Elvebakken

Mark Meagher

László Mangliár

Xuping Zhang

...

2022/9/19

Trajectory Prediction: A Review of Methods and Challenges in Construction Safety

Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering

Christos Chronopoulos

Jochen Teizer

Lukas Esterle

2022

Digital Twins for Autonomous Intelligent Systems: From Development to Deployment

Lukas Esterle

Henrik Ejersbo

Mirgita Frasheri

Cláudio Gomes

Hugo Daniel Macedo

...

2022/9/19

Collaborative Systems: Learning and Working Together

Lukas Esterle

2022

Towards modular digital twins of robot systems

Daniella Tola

Till Böttjer

Peter Gorm Larsen

Lukas Esterle

2022/9/19

Deep learning in multiagent systems

Lukas Esterle

2022/1/1

A collective adaptive approach to decentralised k-coverage in multi-robot systems

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Danilo Pianini

Federico Pettinari

Roberto Casadei

Lukas Esterle

2022/9/7

Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car

Malthe Faurschou Tøttrup

Emil Chao Hu

Bastian Aron Kramer

Hugo Daniel Macedo

Lukas Esterle

2022/9/26

Loosening control—a hybrid approach to controlling heterogeneous swarms

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

Lukas Esterle

David W King

2022/3/4

See List of Professors in Lukas Esterle University(Aarhus Universitet)

Co-Authors

H-index: 122
Xin Yao

Xin Yao

University of Birmingham

H-index: 54
Scott  A. Smolka

Scott A. Smolka

Stony Brook University

H-index: 45
Holger Giese

Holger Giese

Universität Potsdam

H-index: 42
Bernhard Rinner

Bernhard Rinner

Alpen-Adria-Universität Klagenfurt

H-index: 39
Peter Gorm Larsen

Peter Gorm Larsen

Aarhus Universitet

H-index: 38
Kurt Geihs

Kurt Geihs

Universität Kassel

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