A Probabilistic Multimodal Sensor Aggregation Scheme Applied for a Mobile Robot. - Erik Schaffernicht; Christian Martin 001; Andrea Scheidig; Horst-Michael Gross (KI, 2005)

Multi-modal sensor fusion using a probabilistic aggregation scheme for people detection and tracking. - Christian Martin 001; Erik Schaffernicht; Andrea Scheidig; Horst-Michael Gross (Robotics Auton. Syst., 2006)

Are You Still Following Me? - Steffen Müller 001; Erik Schaffernicht; Andrea Scheidig; Hans-Joachim Böhme; Horst-Michael Gross (EMCR, 2007)

An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees. - Erik Schaffernicht; Volker Stephan; Horst-Michael Groß (ICANN (2), 2007)

Whom to talk to? Estimating user interest from movement trajectories. - Steffen Müller 001; Sven Hellbach; Erik Schaffernicht; Antje Ober; Andrea Scheidig; Horst-Michael Gross (RO-MAN, 2008)

Forward feature selection using Residual Mutual Information. - Erik Schaffernicht; Christoph Möller; Klaus Debes; Horst-Michael Gross (ESANN, 2009)

Adaptive Feature Transformation for Image Data from Non-stationary Processes. - Erik Schaffernicht; Volker Stephan; Horst-Michael Gross (ICANN (2), 2009)

Machine Learning Techniques for Selforganizing Combustion Control. - Erik Schaffernicht; Volker Stephan; Klaus Debes; Horst-Michael Gross (KI, 2009)

On Estimating Mutual Information for Feature Selection. - Erik Schaffernicht; Robert Kaltenhaeuser; Saurabh Shekhar Verma; Horst-Michael Gross (ICANN (1), 2010)

Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration. - Frank-Florian Steege; André Hartmann; Erik Schaffernicht; Horst-Michael Gross (ICANN (2), 2010)

Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning. - Christian Vollmer; Erik Schaffernicht; Horst-Michael Gross (ICANN (2), 2010)

Weighted Mutual Information for Feature Selection. - Erik Schaffernicht; Horst-Michael Gross (ICANN (2), 2011)

Lernbeiträge im Rahmen einer kognitiven Architektur für die intelligente Prozessführung. - Erik Schaffernicht (2012)

Evolutionary computation based system decomposition with neural networks. - Robert Kaltenhaeuser; Erik Schaffernicht; Frank-Florian Steege; Horst-Michael Gross (ESANN, 2013)

TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. - Sepideh Pashami; Achim J. Lilienthal; Erik Schaffernicht; Marco Trincavelli (Sensors, 2013)

Robot assisted gas tomography - Localizing methane leaks in outdoor environments. - Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Todor Stoyanov; Achim J. Lilienthal; Marco Trincavelli (ICRA, 2014)

Probabilistic relational scene representation and decision making under incomplete information for robotic manipulation tasks. - Rasoul Mojtahedzadeh; Abdelbaki Bouguerra; Erik Schaffernicht; Achim J. Lilienthal (ICRA, 2014)

Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds. - Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Victor Pomareda Sese; Achim J. Lilienthal; Santiago Marco; Marco Trincavelli (Sensors, 2014)

Efficient measurement planning for remote gas sensing with mobile robots. - Muhammad Asif Arain; Marcello Cirillo; Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Marco Trincavelli; Achim J. Lilienthal (ICRA, 2015)

Support relation analysis and decision making for safe robotic manipulation tasks. - Rasoul Mojtahedzadeh; Abdelbaki Bouguerra; Erik Schaffernicht; Achim J. Lilienthal (Robotics Auton. Syst., 2015)

Global Coverage Measurement Planning Strategies for Mobile Robots Equipped with a Remote Gas Sensor. - Muhammad Asif Arain; Marco Trincavelli; Marcello Cirillo; Erik Schaffernicht; Achim J. Lilienthal (Sensors, 2015)

The right direction to smell: Efficient sensor planning strategies for robot assisted gas tomography. - Muhammad Asif Arain; Erik Schaffernicht; Victor Manuel Hernandez Bennetts; Achim J. Lilienthal (ICRA, 2016)

Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. - Han Fan; Victor Hernandez Bennetts; Erik Schaffernicht; Achim J. Lilienthal (IEEE SENSORS, 2016)

Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. - Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Achim J. Lilienthal; Han Fan; Tomasz Piotr Kucner; Lena Andersson; Anders Johansson (IROS, 2016)

Inferring human body posture information from reflective patterns of protective work garments. - Rafael Mosberger; Erik Schaffernicht; Henrik Andreasson; Achim J. Lilienthal (IROS, 2016)

An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping. - Daniel Ricao Canelhas; Erik Schaffernicht; Todor Stoyanov; Achim J. Lilienthal; Andrew J. Davison (CoRR, 2016)

Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach. - Erik Schaffernicht; Victor Manuel Hernandez Bennetts; Achim J. Lilienthal (ICRA, 2017)

Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. - Yuxin Xing; Timothy A. Vincent; Marina Cole; Julian W. Gardner; Han Fan; Victor Hernandez Bennetts; Erik Schaffernicht; Achim J. Lilienthal (IEEE SENSORS, 2017)

Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots. - Victor Manuel Hernandez Bennetts; Tomasz Piotr Kucner; Erik Schaffernicht; Patrick P. Neumann; Han Fan; Achim J. Lilienthal (IEEE Robotics Autom. Lett., 2017)

Enabling Flow Awareness for Mobile Robots in Partially Observable Environments. - Tomasz Piotr Kucner; Martin Magnusson 002; Erik Schaffernicht; Victor Manuel Hernandez Bennetts; Achim J. Lilienthal (IEEE Robotics Autom. Lett., 2017)

Compressed Voxel-Based Mapping Using Unsupervised Learning. - Daniel Ricao Canelhas; Erik Schaffernicht; Todor Stoyanov; Achim J. Lilienthal; Andrew J. Davison (Robotics, 2017)

An Elephant in the Dark: Creating Semantic Representations of Perceived Data with Conceptual Spaces. - Hadi Banaee; Erik Schaffernicht; Amy Loutfi (AIC, 2018)

Safe- to-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. - Jens Lundell; Robert Krug 002; Erik Schaffernicht; Todor Stoyanov; Ville Kyrki (Humanoids, 2018)

A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot. - Riccardo Polvara; Marco Trabattoni; Tomasz Piotr Kucner; Erik Schaffernicht; Francesco Amigoni; Achim J. Lilienthal (CoRR, 2018)

Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data. - Hadi Banaee; Erik Schaffernicht; Amy Loutfi (J. Artif. Intell. Res., 2018)

Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. - Han Fan; Victor Hernandez Bennett; Erik Schaffernicht; Achim J. Lilienthal (ISOEN, 2019)

Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose. - Han Fan; Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Achim J. Lilienthal (Sensors, 2019)

Using Redundancy in a Sensor Network to Compensate Sensor Failures. - Nicolas P. Winkler; Patrick P. Neumann; Erik Schaffernicht; Achim J. Lilienthal (IEEE SENSORS, 2021)

Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot. - Muhammad Asif Arain; Victor Manuel Hernandez Bennetts; Erik Schaffernicht; Achim J. Lilienthal (Int. J. Robotics Res., 2021)

Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. - Han Fan; Daniel Jonsson; Erik Schaffernicht; Achim J. Lilienthal (ISOEN, 2022)

Super-Resolution for Gas Distribution Mapping: Convolutional Encoder-Decoder Network. - Nicolas P. Winkler; Haruka Matsukura; Patrick P. Neumann; Erik Schaffernicht; Hiroshi Ishida; Achim J. Lilienthal (ISOEN, 2022)

Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping. - Nicolas P. Winkler; Oleksandr Kotlyar; Erik Schaffernicht; Han Fan; Haruka Matsukura; Hiroshi Ishida; Patrick P. Neumann; Achim J. Lilienthal (ROBOT (2), 2022)

Towards Task-Prioritized Policy Composition. - Finn Rietz; Erik Schaffernicht; Todor Stoyanov; Johannes A. Stork (CoRR, 2022)

Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. - Marco Iannotta; David Cáceres-Domínguez; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (CoRR, 2022)

A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. - David Cáceres-Domínguez; Marco Iannotta; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization. - Simona Gugliermo; Erik Schaffernicht; Christos Koniaris; Federico Pecora (IEEE Robotics Autom. Lett., 2023)

Survey of maps of dynamics for mobile robots. - Tomasz Piotr Kucner; Martin Magnusson 002; Sariah Mghames; Luigi Palmieri; Francesco Verdoja; Chittaranjan Srinivas Swaminathan; Tomás Krajník; Erik Schaffernicht; Nicola Bellotto; Marc Hanheide; Achim J. Lilienthal (Int. J. Robotics Res., 2023)

On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. - Ahmad Saeed Khan; Erik Schaffernicht; Johannes Andreas Stork (ECAI, 2024)

Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. - Alan A. Lahoud; Erik Schaffernicht; Johannes A. Stork (ICANN (1), 2024)

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (ICLR, 2024)

LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. - Yufei Zhu; Han Fan; Andrey Rudenko; Martin Magnusson 002; Erik Schaffernicht; Achim J. Lilienthal (ICRA, 2024)

Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. - Han Fan; Erik Schaffernicht; Achim J. Lilienthal (ISOEN, 2024)

Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). - Nicolas P. Winkler; Patrick P. Neumann; Erik Schaffernicht; Achim J. Lilienthal (ISOEN, 2024)

DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. - Alan A. Lahoud; Erik Schaffernicht; Johannes A. Stork (UAI, 2024)

Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (CoRR, 2024)

Evaluating behavior trees. - Simona Gugliermo; David Cáceres-Domínguez; Marco Iannotta; Todor Stoyanov; Erik Schaffernicht (Robotics Auton. Syst., 2024)

On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning. - Marco Iannotta; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (CoRR, 2025)

Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review. - Alan A. Lahoud; Ahmad Saeed Khan; Erik Schaffernicht; Marco Trincavelli; Johannes Andreas Stork (Neural Process. Lett., 2025)

Beyond Predefined Actions: Integrating Behavior Trees and Dynamic Movement Primitives for Robot Learning from Demonstration. - David Cáceres-Domínguez; Erik Schaffernicht; Todor Stoyanov (CoRR, 2025)

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning. - Rahel Rickenbach; Alan A. Lahoud; Erik Schaffernicht; Melanie N. Zeilinger; Johannes A. Stork (CoRR, 2025)