Erik Schaffernicht

72 papers A* 7A 4B 3Misc 2Journal 36Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Predefined Actions: Integrating Behavior Trees and Dynamic Movement Primitives for Robot Learning from Demonstration. CoRR David Cáceres-Domínguez, Erik Schaffernicht, Todor Stoyanov
2025	J	`jnl`	Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies. CoRR Marco Iannotta, Yuxuan Yang, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2025	J	`jnl`	DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation. CoRR Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
2025	J	`jnl`	DFW: a novel weighting scheme for covariate balancing and treatment effect estimation. Frontiers Appl. Math. Stat. Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
2025	J	`jnl`	Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2025	J	`jnl`	Learning Lifted Action Models for Planning Domain Acquisition in Noisy Environments. IEEE Access Simona Gugliermo, Uwe Köckemann, Erik Schaffernicht, Alessandro Saffiotti
2025	J	`jnl`	On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning. CoRR Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2025	J	`jnl`	Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review. Neural Process. Lett. Alan A. Lahoud, Ahmad Saeed Khan, Erik Schaffernicht, Marco Trincavelli, Johannes Andreas Stork
2025	J	`jnl`	ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning. CoRR Rahel Rickenbach, Alan A. Lahoud, Erik Schaffernicht, Melanie N. Zeilinger, Johannes A. Stork
2024	A	`conf`	DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. UAI Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	J	`jnl`	DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	J	`jnl`	Evaluating behavior trees. Robotics Auton. Syst. Simona Gugliermo, David Cáceres-Domínguez, Marco Iannotta, Todor Stoyanov, Erik Schaffernicht
2024	—	`conf`	Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). ISOEN Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal
2024	—	`conf`	Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. ISOEN Han Fan, Erik Schaffernicht, Achim J. Lilienthal
2024	A*	`conf`	LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. ICRA Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal
2024	J	`jnl`	LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. CoRR Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal
2024	—	`conf`	Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. ICANN (1) Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	J	`jnl`	Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	A	`conf`	On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. ECAI Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
2024	J	`jnl`	On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. CoRR Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
2024	A*	`conf`	Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. ICLR Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2024	J	`jnl`	Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. CoRR Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2023	J	`jnl`	Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization. IEEE Robotics Autom. Lett. Simona Gugliermo, Erik Schaffernicht, Christos Koniaris, Federico Pecora
2023	J	`jnl`	Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. CoRR Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork
2023	J	`jnl`	Survey of maps of dynamics for mobile robots. Int. J. Robotics Res. 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
2022	J	`jnl`	A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics Autom. Lett. David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	J	`jnl`	A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control. CoRR David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	J	`jnl`	Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	—	`conf`	Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping. ROBOT (2) Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht, Han Fan, Haruka Matsukura, Hiroshi Ishida, Patrick P. Neumann, Achim J. Lilienthal
2022	—	`conf`	Super-Resolution for Gas Distribution Mapping: Convolutional Encoder-Decoder Network. ISOEN Nicolas P. Winkler, Haruka Matsukura, Patrick P. Neumann, Erik Schaffernicht, Hiroshi Ishida, Achim J. Lilienthal
2022	—	`conf`	Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. ISOEN Han Fan, Daniel Jonsson, Erik Schaffernicht, Achim J. Lilienthal
2022	J	`jnl`	Towards Task-Prioritized Policy Composition. CoRR Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
2021	J	`jnl`	Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot. Int. J. Robotics Res. Muhammad Asif Arain, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
2021	—	`conf`	Using Redundancy in a Sensor Network to Compensate Sensor Failures. IEEE SENSORS Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal
2019	—	`conf`	Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. ISOEN Han Fan, Victor Hernandez Bennett, Erik Schaffernicht, Achim J. Lilienthal
2019	J	`jnl`	Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose. Sensors Han Fan, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
2018	J	`jnl`	A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot. CoRR Riccardo Polvara, Marco Trabattoni, Tomasz Piotr Kucner, Erik Schaffernicht, Francesco Amigoni, Achim J. Lilienthal
2018	—	`conf`	An Elephant in the Dark: Creating Semantic Representations of Perceived Data with Conceptual Spaces. AIC Hadi Banaee, Erik Schaffernicht, Amy Loutfi
2018	J	`jnl`	Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data. J. Artif. Intell. Res. Hadi Banaee, Erik Schaffernicht, Amy Loutfi
2018	—	`conf`	Safe- to-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. Humanoids Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, Ville Kyrki
2018	J	`jnl`	Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. CoRR Jens Lundell, Robert Krug, Erik Schaffernicht, Todor Stoyanov, Ville Kyrki
2017	J	`jnl`	Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
2017	J	`jnl`	Enabling Flow Awareness for Mobile Robots in Partially Observable Environments. IEEE Robotics Autom. Lett. Tomasz Piotr Kucner, Martin Magnusson, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
2017	—	`conf`	Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. IEEE SENSORS Yuxin Xing, Timothy A. Vincent, Marina Cole, Julian W. Gardner, Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
2017	A*	`conf`	Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach. ICRA Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
2017	J	`jnl`	Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots. IEEE Robotics Autom. Lett. Victor Manuel Hernandez Bennetts, Tomasz Piotr Kucner, Erik Schaffernicht, Patrick P. Neumann, Han Fan, Achim J. Lilienthal
2016	J	`jnl`	An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping. CoRR Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
2016	A	`conf`	Inferring human body posture information from reflective patterns of protective work garments. IROS Rafael Mosberger, Erik Schaffernicht, Henrik Andreasson, Achim J. Lilienthal
2016	A*	`conf`	The right direction to smell: Efficient sensor planning strategies for robot assisted gas tomography. ICRA Muhammad Asif Arain, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
2016	A	`conf`	Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. IROS Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal, Han Fan, Tomasz Piotr Kucner, Lena Andersson, Anders Johansson
2016	—	`conf`	Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. IEEE SENSORS Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
2015	A*	`conf`	Efficient measurement planning for remote gas sensing with mobile robots. ICRA Muhammad Asif Arain, Marcello Cirillo, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Marco Trincavelli, Achim J. Lilienthal
2015	J	`jnl`	Global Coverage Measurement Planning Strategies for Mobile Robots Equipped with a Remote Gas Sensor. Sensors Muhammad Asif Arain, Marco Trincavelli, Marcello Cirillo, Erik Schaffernicht, Achim J. Lilienthal
2015	J	`jnl`	Support relation analysis and decision making for safe robotic manipulation tasks. Robotics Auton. Syst. Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. Lilienthal
2014	J	`jnl`	Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds. Sensors Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Victor Pomareda Sese, Achim J. Lilienthal, Santiago Marco, Marco Trincavelli
2014	A*	`conf`	Probabilistic relational scene representation and decision making under incomplete information for robotic manipulation tasks. ICRA Rasoul Mojtahedzadeh, Abdelbaki Bouguerra, Erik Schaffernicht, Achim J. Lilienthal
2014	A*	`conf`	Robot assisted gas tomography - Localizing methane leaks in outdoor environments. ICRA Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Marco Trincavelli
2013	B	`conf`	Evolutionary computation based system decomposition with neural networks. ESANN Robert Kaltenhaeuser, Erik Schaffernicht, Frank-Florian Steege, Horst-Michael Gross
2013	J	`jnl`	TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. Sensors Sepideh Pashami, Achim J. Lilienthal, Erik Schaffernicht, Marco Trincavelli
2012	—	`—`	Lernbeiträge im Rahmen einer kognitiven Architektur für die intelligente Prozessführung. Erik Schaffernicht
2011	—	`conf`	Weighted Mutual Information for Feature Selection. ICANN (2) Erik Schaffernicht, Horst-Michael Gross
2010	—	`conf`	Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning. ICANN (2) Christian Vollmer, Erik Schaffernicht, Horst-Michael Gross
2010	—	`conf`	On Estimating Mutual Information for Feature Selection. ICANN (1) Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh Shekhar Verma, Horst-Michael Gross
2010	—	`conf`	Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration. ICANN (2) Frank-Florian Steege, André Hartmann, Erik Schaffernicht, Horst-Michael Gross
2009	—	`conf`	Adaptive Feature Transformation for Image Data from Non-stationary Processes. ICANN (2) Erik Schaffernicht, Volker Stephan, Horst-Michael Gross
2009	B	`conf`	Forward feature selection using Residual Mutual Information. ESANN Erik Schaffernicht, Christoph Möller, Klaus Debes, Horst-Michael Gross
2009	Misc	`conf`	Machine Learning Techniques for Selforganizing Combustion Control. KI Erik Schaffernicht, Volker Stephan, Klaus Debes, Horst-Michael Gross
2008	B	`conf`	Whom to talk to? Estimating user interest from movement trajectories. RO-MAN Steffen Müller, Sven Hellbach, Erik Schaffernicht, Antje Ober, Andrea Scheidig, Horst-Michael Gross
2007	—	`conf`	An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees. ICANN (2) Erik Schaffernicht, Volker Stephan, Horst-Michael Groß
2007	—	`conf`	Are You Still Following Me? EMCR Steffen Müller, Erik Schaffernicht, Andrea Scheidig, Hans-Joachim Böhme, Horst-Michael Gross
2006	J	`jnl`	Multi-modal sensor fusion using a probabilistic aggregation scheme for people detection and tracking. Robotics Auton. Syst. Christian Martin, Erik Schaffernicht, Andrea Scheidig, Horst-Michael Gross
2005	Misc	`conf`	A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot. KI Erik Schaffernicht, Christian Martin, Andrea Scheidig, Horst-Michael Gross