Erik Schaffernicht

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 32

Top Venues

CoRR

ICRA

IEEE Robotics Autom. Lett.

Sensors

Technische Universität Ilmenau, Germany (PHD)

Education History

Technische Universität Ilmenau, Germany

PHD

Publications

Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. CoRR (2023)
Simona Gugliermo, Erik Schaffernicht, Christos Koniaris, Federico Pecora
Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization. IEEE Robotics Autom. Lett. 8 (6) (2023)
Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomás Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, Achim J. Lilienthal
Survey of maps of dynamics for mobile robots. Int. J. Robotics Res. 42 (11) (2023)
Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR (2022)
Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
Towards Task-Prioritized Policy Composition. CoRR (2022)
David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics Autom. Lett. 7 (4) (2022)
Nicolas P. Winkler, Haruka Matsukura, Patrick P. Neumann, Erik Schaffernicht, Hiroshi Ishida, Achim J. Lilienthal
Super-Resolution for Gas Distribution Mapping: Convolutional Encoder-Decoder Network. ISOEN (2022)
Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht, Han Fan, Haruka Matsukura, Hiroshi Ishida, Patrick P. Neumann, Achim J. Lilienthal
Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping. ROBOT (2) (2022)
Han Fan, Daniel Jonsson, Erik Schaffernicht, Achim J. Lilienthal
Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. ISOEN (2022)
David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control. CoRR (2022)
Muhammad Asif Arain, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot. Int. J. Robotics Res. 40 (4-5) (2021)
Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal
Using Redundancy in a Sensor Network to Compensate Sensor Failures. IEEE SENSORS (2021)
Han Fan, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose. Sensors 19 (3) (2019)
Han Fan, Victor Hernandez Bennett, Erik Schaffernicht, Achim J. Lilienthal
Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. ISOEN (2019)
Riccardo Polvara, Marco Trabattoni, Tomasz Piotr Kucner, Erik Schaffernicht, Francesco Amigoni, Achim J. Lilienthal
A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot. CoRR (2018)
Hadi Banaee, Erik Schaffernicht, Amy Loutfi
Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data. J. Artif. Intell. Res. 63 (2018)
Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, Ville Kyrki
Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. CoRR (2018)
Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, Ville Kyrki
Safe- to-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. Humanoids (2018)
Hadi Banaee, Erik Schaffernicht, Amy Loutfi
An Elephant in the Dark: Creating Semantic Representations of Perceived Data with Conceptual Spaces. AIC (2018)
Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics 6 (3) (2017)
Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach. ICRA (2017)
Tomasz Piotr Kucner, Martin Magnusson, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
Enabling Flow Awareness for Mobile Robots in Partially Observable Environments. IEEE Robotics Autom. Lett. 2 (2) (2017)
Victor Manuel Hernandez Bennetts, Tomasz Piotr Kucner, Erik Schaffernicht, Patrick P. Neumann, Han Fan, Achim J. Lilienthal
Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots. IEEE Robotics Autom. Lett. 2 (2) (2017)
Yuxin Xing, Timothy A. Vincent, Marina Cole, Julian W. Gardner, Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. IEEE SENSORS (2017)
Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping. CoRR (2016)
Muhammad Asif Arain, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
The right direction to smell: Efficient sensor planning strategies for robot assisted gas tomography. ICRA (2016)
Rafael Mosberger, Erik Schaffernicht, Henrik Andreasson, Achim J. Lilienthal
Inferring human body posture information from reflective patterns of protective work garments. IROS (2016)
Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. IEEE SENSORS (2016)
Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal, Han Fan, Tomasz Piotr Kucner, Lena Andersson, Anders Johansson
Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. IROS (2016)
Muhammad Asif Arain, Marcello Cirillo, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Marco Trincavelli, Achim J. Lilienthal
Efficient measurement planning for remote gas sensing with mobile robots. ICRA (2015)
Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. Lilienthal
Support relation analysis and decision making for safe robotic manipulation tasks. Robotics Auton. Syst. 71 (2015)
Muhammad Asif Arain, Marco Trincavelli, Marcello Cirillo, Erik Schaffernicht, Achim J. Lilienthal
Global Coverage Measurement Planning Strategies for Mobile Robots Equipped with a Remote Gas Sensor. Sensors 15 (3) (2015)
Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. Lilienthal
Probabilistic relational scene representation and decision making under incomplete information for robotic manipulation tasks. ICRA (2014)
Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Victor Pomareda Sese, Achim J. Lilienthal, Santiago Marco, Marco Trincavelli
Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds. Sensors 14 (9) (2014)
Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Marco Trincavelli
Robot assisted gas tomography - Localizing methane leaks in outdoor environments. ICRA (2014)
Robert Kaltenhaeuser, Erik Schaffernicht, Frank-Florian Steege, Horst-Michael Gross
Evolutionary computation based system decomposition with neural networks. ESANN (2013)
Sepideh Pashami, Achim J. Lilienthal, Erik Schaffernicht, Marco Trincavelli
TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. Sensors 13 (6) (2013)
Erik Schaffernicht, Horst-Michael Gross
Weighted Mutual Information for Feature Selection. ICANN (2) (2011)
Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning. ICANN (2) (2010)
Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh Shekhar Verma, Horst-Michael Gross
On Estimating Mutual Information for Feature Selection. ICANN (1) (2010)
Frank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration. ICANN (2) (2010)
Erik Schaffernicht, Volker Stephan, Klaus Debes, Horst-Michael Gross
Machine Learning Techniques for Selforganizing Combustion Control. KI (2009)
Erik Schaffernicht, Volker Stephan, Horst-Michael Gross
Adaptive Feature Transformation for Image Data from Non-stationary Processes. ICANN (2) (2009)
Erik Schaffernicht, Christoph Möller, Klaus Debes, Horst-Michael Gross
Forward feature selection using Residual Mutual Information. ESANN (2009)
Steffen Müller, Sven Hellbach, Erik Schaffernicht, Antje Ober, Andrea Scheidig, Horst-Michael Gross
Whom to talk to? Estimating user interest from movement trajectories. RO-MAN (2008)
Erik Schaffernicht, Volker Stephan, Horst-Michael Groß
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees. ICANN (2) (2007)
Steffen Müller, Erik Schaffernicht, Andrea Scheidig, Hans-Joachim Böhme, Horst-Michael Gross
Are You Still Following Me? EMCR (2007)
Christian Martin, Erik Schaffernicht, Andrea Scheidig, Horst-Michael Gross
Multi-modal sensor fusion using a probabilistic aggregation scheme for people detection and tracking. Robotics Auton. Syst. 54 (9) (2006)
Erik Schaffernicht, Christian Martin, Andrea Scheidig, Horst-Michael Gross
A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot. KI (2005)

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Publication Activity (10 Years)

Top Topics

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Erik Schaffernicht