Erik Schaffernicht

Erik Schaffernicht

Örebro Universitet

H-index: 18

Europe-Sweden

About Erik Schaffernicht

Erik Schaffernicht, With an exceptional h-index of 18 and a recent h-index of 14 (since 2020), a distinguished researcher at Örebro Universitet, specializes in the field of robotics, machine learning, feature selection, mobile robot olfaction.

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

LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow

Learning behavior trees from planning experts using decision tree and logic factorization

Extracting Planning Domains from Execution Traces: a Progress Report

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning

Survey of maps of dynamics for mobile robots

Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities

Towards Task-Prioritized Policy Composition

Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence

Erik Schaffernicht Information

University

Position

Senior Lecturer

Citations(all)

904

Citations(since 2020)

517

Cited By

591

hIndex(all)

18

hIndex(since 2020)

14

i10Index(all)

28

i10Index(since 2020)

18

Email

University Profile Page

Örebro Universitet

Google Scholar

View Google Scholar Profile

Erik Schaffernicht Skills & Research Interests

robotics

machine learning

feature selection

mobile robot olfaction

Top articles of Erik Schaffernicht

Title

Journal

Author(s)

Publication Date

LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow

arXiv preprint arXiv:2403.13640

Yufei Zhu

Han Fan

Andrey Rudenko

Martin Magnusson

Erik Schaffernicht

...

2024/3/20

Learning behavior trees from planning experts using decision tree and logic factorization

IEEE Robotics and Automation Letters

Simona Gugliermo

Erik Schaffernicht

Christos Koniaris

Federico Pecora

2023/4/20

Extracting Planning Domains from Execution Traces: a Progress Report

Simona Gugliermo

Erik Schaffernicht

Christos Koniaris

Alessandro Saffiotti

2023

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning

arXiv preprint arXiv:2310.02360

Finn Rietz

Stefan Heinrich

Erik Schaffernicht

Johannes Andreas Stork

2023/10/3

Survey of maps of dynamics for mobile robots

Tomasz Piotr Kucner

Martin Magnusson

Sariah Mghames

Luigi Palmieri

Francesco Verdoja

...

2023/9

Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities

Applied Sciences

Eduardo Gutierrez Maestro

Tiago Rodrigues De Almeida

Erik Schaffernicht

Óscar Martinez Mozos

2023/5/3

Towards Task-Prioritized Policy Composition

arXiv preprint arXiv:2209.09536

Finn Rietz

Erik Schaffernicht

Todor Stoyanov

Johannes A Stork

2022/9/20

Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence

Frontiers in Psychology

Maike Schindler

Jan H Doderer

Anna L Simon

Erik Schaffernicht

Achim J Lilienthal

...

2022/8/22

Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning

Han Fan

Daniel Jonsson

Erik Schaffernicht

Achim J Lilienthal

2022/5/29

Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping

Nicolas P Winkler

Oleksandr Kotlyar

Erik Schaffernicht

Han Fan

Haruka Matsukura

...

2022/11/19

Super-resolution for gas distribution mapping: convolutional encoder-decoder network

Nicolas P Winkler

Haruka Matsukura

Patrick P Neumann

Erik Schaffernicht

Hiroshi Ishida

...

2022/5/29

Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees

arXiv preprint arXiv:2210.08600

Marco Iannotta

David Cáceres Domínguez

Johannes A Stork

Erik Schaffernicht

Todor Stoyanov

2022/10/16

Ensemble learning-based approach for gas detection using an electronic nose in robotic applications

Frontiers in chemistry

Han Fan

Erik Schaffernicht

Achim J Lilienthal

2022/4/28

A stack-of-tasks approach combined with behavior trees: A new framework for robot control

IEEE Robotics and Automation Letters

David Cáceres Domínguez

Marco Iannotta

Johannes A Stork

Erik Schaffernicht

Todor Stoyanov

2022/10/3

Using redundancy in a sensor network to compensate sensor failures

Nicolas P Winkler

Patrick P Neumann

Erik Schaffernicht

Achim J Lilienthal

2021/10/31

Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot

The International Journal of Robotics Research

Muhammad Asif Arain

Victor Hernandez Bennetts

Erik Schaffernicht

Achim J Lilienthal

2021/4

Development of a low-cost sensing node with active ventilation fan for air pollution monitoring

Nicolas P Winkler

Patrick P Neumann

Harald Kohlhoff

Jessica Erdmann

Erik Schaffernicht

...

2021

IDENTIFYING STUDENT STRATEGIES THROUGH EYE TRACKING AND UNSUPERVISED LEARNING: THE CASE OF QUANTITY RECOGNITION

Maike Schindler

Erik Schaffernicht

Achim Lilienthal

2020

High-quality meets low-cost: Approaches for hybrid-mobility sensor networks

Materials Today: Proceedings

Nicolas P Winkler

Patrick P Neumann

Arto Säämänen

Erik Schaffernicht

Achim J Lilienthal

2020/1/1

See List of Professors in Erik Schaffernicht University(Örebro Universitet)

Co-Authors

H-index: 55
Achim J. Lilienthal

Achim J. Lilienthal

Örebro Universitet

H-index: 41
Horst-Michael Gross

Horst-Michael Gross

Technische Universität Ilmenau

H-index: 38
Amy Loutfi

Amy Loutfi

Örebro Universitet

H-index: 25
Todor Stoyanov

Todor Stoyanov

Örebro Universitet

H-index: 24
Martin Magnusson

Martin Magnusson

Örebro Universitet

H-index: 16
Klaus Debes

Klaus Debes

Technische Universität Ilmenau

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