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Erik Schaffernicht
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2020 – today
- 2024
- [j15]Simona Gugliermo
, David Cáceres-Domínguez
Evaluating behavior trees. Robotics Auton. Syst. 178: 104714 (2024) - [c34]Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. ECAI 2024: 2822-2829 - [c33]Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. ICANN (1) 2024: 147-162 - [c32]Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork:
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. ICLR 2024 - [c31]Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal:
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. ICRA 2024: 11281-11288 - [c30]Han Fan, Erik Schaffernicht, Achim J. Lilienthal:
Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. ISOEN 2024: 1-4 - [c29]Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal:
Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). ISOEN 2024: 1-3 - [i12]Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal:
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. CoRR abs/2403.13640 (2024) - [i11]Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork:
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. CoRR abs/2405.01198 (2024) - [i10]Alan A. Lahoud
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. CoRR abs/2405.04923 (2024) - [i9]Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. CoRR abs/2406.03082 (2024) - [i8]Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. CoRR abs/2407.20003 (2024) - 2023
- [j14]Tomasz Piotr Kucner
Survey of maps of dynamics for mobile robots. Int. J. Robotics Res. 42(11): 977-1006 (2023) - [j13]Simona Gugliermo
Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization. IEEE Robotics Autom. Lett. 8(6): 3534-3541 (2023) - [i7]Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. CoRR abs/2310.02360 (2023) - 2022
- [j12]David Cáceres-Domínguez
A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics Autom. Lett. 7(4): 12110-12117 (2022) - [c28]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: 1-4 - [c27]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: 1-3 - [c26]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: 178-188 - [i6]David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork
A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control. CoRR abs/2209.08619 (2022) - [i5]Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
Towards Task-Prioritized Policy Composition. CoRR abs/2209.09536 (2022) - [i4]Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork
Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR abs/2210.08600 (2022) - 2021
- [j11]Muhammad Asif Arain
Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot. Int. J. Robotics Res. 40(4-5) (2021) - [c25]Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal:
Using Redundancy in a Sensor Network to Compensate Sensor Failures. IEEE SENSORS 2021: 1-4
2010 – 2019
- 2019
- [j10]Han Fan, Victor Manuel Hernandez Bennetts
Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose. Sensors 19(3): 685 (2019) - [c24]Han Fan, Victor Hernandez Bennett, Erik Schaffernicht, Achim J. Lilienthal
Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. ISOEN 2019: 1-4 - 2018
- [j9]Hadi Banaee
Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data. J. Artif. Intell. Res. 63: 691-742 (2018) - [c23]Hadi Banaee, Erik Schaffernicht, Amy Loutfi:
An Elephant in the Dark: Creating Semantic Representations of Perceived Data with Conceptual Spaces. AIC 2018: 75-81 - [c22]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: 132-138 - [i3]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 abs/1801.06819 (2018) - [i2]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 abs/1810.03516 (2018) - 2017
- [j8]Tomasz Piotr Kucner
Enabling Flow Awareness for Mobile Robots in Partially Observable Environments. IEEE Robotics Autom. Lett. 2(2): 1093-1100 (2017) - [j7]Victor Manuel Hernandez Bennetts
Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots. IEEE Robotics Autom. Lett. 2(2): 1117-1123 (2017) - [j6]Daniel Ricao Canelhas
Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics 6(3): 15 (2017) - [c21]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: 2659-2665 - [c20]Yuxin Xing, Timothy A. Vincent, Marina Cole
Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. IEEE SENSORS 2017: 1-3 - 2016
- [c19]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: 4275-4281 - [c18]Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. IEEE SENSORS 2016: 1-3 - [c17]Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. IROS 2016: 131-136 - [c16]Rafael Mosberger, Erik Schaffernicht, Henrik Andreasson, Achim J. Lilienthal
Inferring human body posture information from reflective patterns of protective work garments. IROS 2016: 4131-4136 - [i1]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 abs/1609.02462 (2016) - 2015
- [j5]Rasoul Mojtahedzadeh
Support relation analysis and decision making for safe robotic manipulation tasks. Robotics Auton. Syst. 71: 99-117 (2015) - [j4]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): 6845-6871 (2015) - [c15]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: 3428-3434 - 2014
- [j3]Victor Manuel Hernandez Bennetts
Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds. Sensors 14(9): 17331-17352 (2014) - [c14]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: 5685-5690 - [c13]Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Todor Stoyanov
Robot assisted gas tomography - Localizing methane leaks in outdoor environments. ICRA 2014: 6362-6367 - 2013
- [j2]Sepideh Pashami, Achim J. Lilienthal
TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. Sensors 13(6): 7323-7344 (2013) - [c12]Robert Kaltenhaeuser, Erik Schaffernicht, Frank-Florian Steege, Horst-Michael Gross:
Evolutionary computation based system decomposition with neural networks. ESANN 2013 - 2012
- [b1]Erik Schaffernicht:
Lernbeiträge im Rahmen einer kognitiven Architektur für die intelligente Prozessführung. Technische Universität Ilmenau, Germany, 2012, ISBN 978-3-86360-043-3, pp. 1-296 - 2011
- [c11]Erik Schaffernicht, Horst-Michael Gross:
Weighted Mutual Information for Feature Selection. ICANN (2) 2011: 181-188 - 2010
- [c10]Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross:
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning. ICANN (2) 2010: 190-199 - [c9]Frank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross:
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration. ICANN (2) 2010: 222-227 - [c8]Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh Shekhar Verma, Horst-Michael Gross:
On Estimating Mutual Information for Feature Selection. ICANN (1) 2010: 362-367
2000 – 2009
- 2009
- [c7]Erik Schaffernicht, Christoph Möller, Klaus Debes, Horst-Michael Gross:
Forward feature selection using Residual Mutual Information. ESANN 2009 - [c6]Erik Schaffernicht, Volker Stephan, Horst-Michael Gross:
Adaptive Feature Transformation for Image Data from Non-stationary Processes. ICANN (2) 2009: 735-744 - [c5]Erik Schaffernicht, Volker Stephan, Klaus Debes, Horst-Michael Gross:
Machine Learning Techniques for Selforganizing Combustion Control. KI 2009: 395-402 - 2008
- [c4]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: 532-538 - 2007
- [c3]Steffen Müller, Erik Schaffernicht, Andrea Scheidig, Hans-Joachim Böhme, Horst-Michael Gross:
Are You Still Following Me? EMCR 2007 - [c2]Erik Schaffernicht, Volker Stephan, Horst-Michael Groß:
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees. ICANN (2) 2007: 190-199 - 2006
- [j1]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): 721-728 (2006) - 2005
- [c1]Erik Schaffernicht, Christian Martin, Andrea Scheidig, Horst-Michael Gross:
A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot. KI 2005: 320-334
Coauthor Index
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