Erik Schaffernicht

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

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

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

Extracting Planning Domains from Execution Traces: a Progress Report

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

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

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

Google Scholar

Erik Schaffernicht Skills & Research Interests

robotics

machine learning

feature selection

mobile robot olfaction

Top articles of Erik Schaffernicht

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

arXiv preprint arXiv:2403.13640

2024/3/20

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning

arXiv preprint arXiv:2310.02360

2023/10/3

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

Applied Sciences

2023/5/3

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

IEEE Robotics and Automation Letters

2023/4/20

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

Federico Pecora
Federico Pecora

H-Index: 17

Extracting Planning Domains from Execution Traces: a Progress Report

2023

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

Alessandro Saffiotti
Alessandro Saffiotti

H-Index: 25

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

2022/11/19

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

arXiv preprint arXiv:2210.08600

2022/10/16

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

IEEE Robotics and Automation Letters

2022/10/3

Towards Task-Prioritized Policy Composition

arXiv preprint arXiv:2209.09536

2022/9/20

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

Todor Stoyanov
Todor Stoyanov

H-Index: 16

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

Frontiers in Psychology

2022/8/22

Maike Schindler
Maike Schindler

H-Index: 10

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

2022/5/29

Han Fan
Han Fan

H-Index: 8

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

2022/5/29

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

Frontiers in chemistry

2022/4/28

Han Fan
Han Fan

H-Index: 8

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

Using redundancy in a sensor network to compensate sensor failures

2021/10/31

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

The International Journal of Robotics Research

2021/4

Muhammad Asif Arain
Muhammad Asif Arain

H-Index: 5

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

2021

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

2020

Maike Schindler
Maike Schindler

H-Index: 10

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

Materials Today: Proceedings

2020/1/1

Erik Schaffernicht
Erik Schaffernicht

H-Index: 12

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

Co-Authors

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