Erik Schaffernicht

Articles in journals

• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2025). DFW: a novel weighting scheme for covariate balancing and treatment effect estimation.  Frontiers in Applied Mathematics and Statistics, 11. [BibTeX]
• Gugliermo, S. , Caceres Dominguez, D. , Iannotta, M. , Stoyanov, T. & Schaffernicht, E. (2024). Evaluating behavior trees.  Robotics and Autonomous Systems, 178. [BibTeX]
• Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. J. (2024). Super-resolution for Gas Distribution Mapping.  Sensors and actuators. B, Chemical, 419. [BibTeX]
• Gugliermo, S. , Schaffernicht, E. , Koniaris, C. & Pecora, F. (2023). Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization.  IEEE Robotics and Automation Letters, 8 (6), 3534-3541. [BibTeX]
• Kucner, T. P. , Magnusson, M. , Mghames, S. , Palmieri, L. , Verdoja, F. , Swaminathan, C. S. , Krajnik, T. , Schaffernicht, E. & et al. (2023). Survey of maps of dynamics for mobile robots.  The international journal of robotics research, 42 (11), 977-1006. [BibTeX]
• Gutiérrez Maestro, E. , Almeida, T. R. d. , Schaffernicht, E. & Martinez Mozos, O. (2023). Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities.  Applied Sciences, 13 (9). [BibTeX]
• Caceres Dominguez, D. , Iannotta, M. , Stork, J. A. , Schaffernicht, E. & Stoyanov, T. (2022). A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control.  IEEE Robotics and Automation Letters, 7 (4), 12110-12117. [BibTeX]
• Fan, H. , Schaffernicht, E. & Lilienthal, A. (2022). Ensemble Learning-Based Approach for Gas Detection Using an Electronic Nose in Robotic Applications.  Frontiers in Chemistry, 10. [BibTeX]
• Schindler, M. , Doderer, J. H. , Simon, A. L. , Schaffernicht, E. , Lilienthal, A. J. & Schäfer, K. (2022). Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence.  Frontiers in Psychology, 13. [BibTeX]
• Arain, M. A. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2021). Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot.  The international journal of robotics research, 40 (4-5), 782-814. [BibTeX]
• Xing, Y. , Vincent, T. A. , Fan, H. , Schaffernicht, E. , Hernandez Bennetts, V. , Lilienthal, A. J. , Cole, M. & Gardner, J. W. (2019). FireNose on Mobile Robot in Harsh Environments.  IEEE Sensors Journal, 19 (24), 12418-12431. [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2019). Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose.  Sensors, 19 (3). [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2018). A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments.  Sensors and actuators. B, Chemical, 259, 183-203. [BibTeX]
• Banaee, H. , Schaffernicht, E. & Loutfi, A. (2018). Data-Driven Conceptual Spaces: Creating Semantic Representations for Linguistic Descriptions of Numerical Data.  The journal of artificial intelligence research, 63, 691-742. [BibTeX]
• Canelhas, D. R. , Schaffernicht, E. , Stoyanov, T. , Lilienthal, A. & Davison, A. J. (2017). Compressed Voxel-Based Mapping Using Unsupervised Learning.  Robotics, 6 (3). [BibTeX]
• Kucner, T. P. , Magnusson, M. , Schaffernicht, E. , Hernandez Bennetts, V. M. & Lilienthal, A. J. (2017). Enabling Flow Awareness for Mobile Robots in Partially Observable Environments.  IEEE Robotics and Automation Letters, 2 (2), 1093-1100. [BibTeX]
• Hernandez Bennetts, V. , Kucner, T. P. , Schaffernicht, E. , Neumann, P. P. , Fan, H. & Lilienthal, A. J. (2017). Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots.  IEEE Robotics and Automation Letters, 2 (2), 1117-1123. [BibTeX]
• Zhang, Y. , Gulliksson, M. , Hernandez Bennetts, V. & Schaffernicht, E. (2016). Reconstructing gas distribution maps via an adaptive sparse regularization algorithm.  Inverse Problems in Science and Engineering, 24 (7), 1186-1204. [BibTeX]
• Arain, M. A. , Trincavelli, M. , Cirillo, M. , Schaffernicht, E. & Lilienthal, A. J. (2015). Global coverage measurement planning strategies for mobile robots equipped with a remote gas sensor.  Sensors, 15 (3), 6845-6871. [BibTeX]
• Mojtahedzadeh, R. , Bouguerra, A. , Schaffernicht, E. & Lilienthal, A. J. (2015). Support relation analysis and decision making for safe robotic manipulation tasks.  Robotics and Autonomous Systems, 71 (SI), 99-117. [BibTeX]
• Schaffernicht, E. , Trincavelli, M. & Lilienthal, A. J. (2014). Bayesian Spatial Event Distribution Grid Maps for Modeling the Spatial Distribution of Gas Detection Events.  Sensor Letters, 12 (6-7), 1142-1146. [BibTeX]
• Hernandez Bennetts, V. , Schaffernicht, E. , Pomadera Sese, V. , Lilienthal, A. J. , Marco, S. & Trincavelli, M. (2014). Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds.  Sensors, 14 (9), 17331-17352. [BibTeX]
• Hernandez Bennetts, V. , Trincavelli, M. , Lilienthal, A. J. & Schaffernicht, E. (2014). Online parameter selection for gas distribution mapping.  Sensor Letters, 12 (6-7), 1147-1151. [BibTeX]
• Pashami, S. , Lilienthal, A. J. , Schaffernicht, E. & Trincavelli, M. (2014). rTREFEX: Reweighting norms for detecting changes in the response of MOX gas sensors.  Sensor Letters, 12 (6/7), 1123-1127. [BibTeX]
• Pashami, S. , Lilienthal, A. J. , Schaffernicht, E. & Trincavelli, M. (2013). TREFEX: trend estimation and change detection in the response of mox gas sensors.  Sensors, 13 (6), 7323-7344. [BibTeX]

Articles, reviews/surveys

• Lahoud, A. A. , Khan, A. S. , Schaffernicht, E. , Trincavelli, M. & Stork, J. A. (2025). Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review.  Neural Processing Letters, 57 (2). [BibTeX]

Chapters in books

• Ishida, H. , Lilienthal, A. J. , Matsukura, H. , Hernandez Bennetts, V. & Schaffernicht, E. (2016). Using Chemical Sensors as 'Noses' for Mobile Robots. In: Takamichi Nakamoto, Essentials of Machine Olfaction and Taste (pp. 219-246). Singapore: John Wiley & Sons. [BibTeX]

Conference papers

• Lahoud, A. , Schaffernicht, E. & Stork, J. A. (2024). DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. In:  Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence. Paper presented at 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), Barcelona, Spain, July 15-19, 2024. (pp. 2094-2112). JMLR. [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Schaffernicht, E. & Lilienthal, A. J. (2024). Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). In:  2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at International Symposium on Olfaction and Electronic Nose (ISOEN 2024), Grapevine, TX, USA, May 12-15, 2024. IEEE. [BibTeX]
• Fan, H. , Schaffernicht, E. & Lilienthal, A. J. (2024). Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. In:  2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at International Symposium on Olfaction and Electronic Nose (ISOEN 2024), Grapevine, TX, USA, May 12-15, 2024. IEEE. [BibTeX]
• Zhu, Y. , Fan, H. , Rudenko, A. , Magnusson, M. , Schaffernicht, E. & Lilienthal, A. (2024). LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. In:  2024 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. (pp. 11281-11288). IEEE. [BibTeX]
• Lahoud, A. A. , Schaffernicht, E. & Stork, J. A. (2024). Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. In: Michael Wand; Kristína Malinovská; Jürgen Schmidhuber; Igor V. Tetko,  Artificial Neural Networks and Machine Learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part I. Paper presented at 33rd International Conference on Artificial Neural Networks and Machine Learning (ICANN 2024), Lugano, Switzerland, September 17-20, 2024. (pp. 147-162). Springer. [BibTeX]
• Khan, A. S. , Schaffernicht, E. & Stork, J. A. (2024). On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. In: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto Bugarín-Diz; José M. Alonso-Moral; Senén Barro; Fredrik Heintz,  27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Paper presented at 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19-24, 2024. (pp. 2822-2829). Amsterdam: IOS Press. [BibTeX]
• Rietz, F. , Schaffernicht, E. , Heinrich, S. & Stork, J. A. (2024). Prioritized soft q-decomposition for lexicographic reinforcement learning. In:  12th International Conference on Learning Representations, ICLR 2024. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Vienna, May 7-11, 2024. International Conference on Learning Representations, ICLR. [BibTeX]
• Gugliermo, S. , Schaffernicht, E. , Koniaris, C. & Saffiotti, A. (2023). Extracting Planning Domains from Execution Traces: a Progress Report. Paper presented at ICAPS 2023, Workshop on Knowledge Engineering for Planning and Scheduling (KEPS 2023), Prague, Czech Republic, July 9-10, 2023. [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Schaffernicht, E. , Lilienthal, A. , Poikkimäki, M. , Kangas, A. & Säämänen, A. (2022). Gather Dust and Get Dusted: Long-Term Drift and Cleaning of Sharp GP2Y1010AU0F Dust Sensor in a Steel Factory. Paper presented at 38th Danubia-Adria Symposium on Advances in Experimental Mechanics, Poros Island, Greece, September 20-23, 2022. [BibTeX]
• Iannotta, M. , Caceres Dominguez, D. , Stork, J. A. , Schaffernicht, E. & Stoyanov, T. (2022). Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. In:  IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence (MOMA): Challenges and  Opportunities. Paper presented at International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022. [BibTeX]
• Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Fan, H. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. (2022). Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping. In: Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques,  ROBOT2022 Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2. Paper presented at ROBOT2022: Fifth Iberian Robotics Conference, Zaragoza, Spain, November 23-25, 2022. (pp. 178-188). Springer. [BibTeX]
• Winkler, N. P. , Matsukura, H. , Neumann, P. P. , Schaffernicht, E. , Ishida, H. & Lilienthal, A. J. (2022). Super-Resolution for Gas Distribution Mapping: Convolutional Encoder-Decoder Network. In:  2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2022), Aveiro, Portugal, May 29 - June 1, 2022. IEEE. [BibTeX]
• Fan, H. , Jonsson, D. , Schaffernicht, E. & Lilienthal, A. (2022). Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. In:  2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings. Paper presented at 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2022), Aveiro, Portugal, May 29 - June 1, 2022. IEEE. [BibTeX]
• Rietz, F. , Schaffernicht, E. , Stoyanov, T. & Stork, J. A. (2022). Towards Task-Prioritized Policy Composition. Paper presented at 35th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 24-26, 2022. [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Kohlhoff, H. , Erdmann, J. , Schaffernicht, E. & Lilienthal, A. (2021). Development of a Low-Cost Sensing Node with Active Ventilation Fan for Air Pollution Monitoring. In:  SMSI 2021 Proceedings. Paper presented at SMSI 2021 Conference: Sensor and Measurement Science International, (Digital conference), May 3-6, 2021. (pp. 260-261). [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Schaffernicht, E. & Lilienthal, A. (2021). Using Redundancy in a Sensor Network to Compensate Sensor Failures. In:  2021 IEEE SENSORS. Paper presented at IEEE SENSORS 2021, (Virtual conference), October 31 - November 4, 2021. [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Schaffernicht, E. & Lilienthal, A. J. (2021). Using Redundancy in a Sensor Network to Compensate Sensor Failures. In:  2021 IEEE SENSORS. Paper presented at 20th IEEE Sensors Conference, (Virtual conference), October 31 - November 4, 2021. IEEE. [BibTeX]
• Winkler, N. P. , Neumann, P. P. , Säämänen, A. , Schaffernicht, E. & Lilienthal, A. J. (2020). High-quality meets low-cost: Approaches for hybrid-mobility sensor networks. In:  MATERIALS TODAY-PROCEEDINGS. Paper presented at 36th Danubia Adria Symposium on Advances in Experimental Mechanics, SEP 24-27, 2019, Pilsen, CZECH REPUBLIC. (pp. 250-253). Elsevier. [BibTeX]
• Schindler, M. , Schaffernicht, E. & Lilienthal, A. (2020). Identifying student strategies through eye tracking and unsupervised learning: The case of quantity recognition. In: Inprasitha, M., Changsri, N. & Boonsena, N.,  Interim Proceedings of the 44th Conference of the International Group for the Psychology of Mathematics Education. Khon Kaen, Thailand: PME. Paper presented at 44th Conference of the International Group for the Psychology of Mathematics Education, Khon Kaen University, Thailand (Virtual Meeting), July 21-22, 2020. (pp. 518-527). [BibTeX]
• Schindler, M. , Schaffernicht, E. & Lilienthal, A. J. (2019). Differences in Quantity Recognition Between Students with and without Mathematical Difficulties Analyzed Through Eye: Analysis Through Eye-Tracking and AI. In: M. Graven, H. Venkat, A. Essien & P. Vale,  Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education. Paper presented at 43rd Conference of the International Group for the Psychology of Mathematics Education, Pretoria, South Africa, 7-12 July, 2019. (pp. 281-288). PME. [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2019). Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. In:  18th ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at 2019 IEEE 18th International Symposium on Olfaction and Electronic Nose (ISOEN), Fukoka, Japan, May 26-29, 2019. IEEE. [BibTeX]
• Lundell, J. , Krug, R. , Schaffernicht, E. , Stoyanov, T. & Kyrki, V. (2018). Safe-To-Explore State Spaces: Ensuring Safe Exploration in Policy Search with Hierarchical Task Optimization. In: Asfour, T,  IEEE-RAS Conference on Humanoid Robots. Paper presented at IEEE-RAS 18th Conference on Humanoid Robots (Humanoids 2018), Beijing, China, November 6-9, 2018. (pp. 132-138). IEEE. [BibTeX]
• Wiedemann, T. , Shutin, D. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2017). Bayesian Gas Source Localization and Exploration with a Multi-Robot System Using Partial Differential Equation Based Modeling. In:  2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2017) Proceedings. Paper presented at International Symposium on Olfaction and Electronic Nose (ISOEN 2017), Montreal, Canada, May 28-31, 2017. (pp. 122-124). IEEE. [BibTeX]
• Vuka, M. , Schaffernicht, E. , Schmuker, M. , Hernandez Bennetts, V. , Amigoni, F. & Lilienthal, A. J. (2017). Exploration and Localization of a Gas Source with MOX Gas Sensorson a Mobile Robot: A Gaussian Regression Bout Amplitude Approach. In:  2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2017) Proceedings. Paper presented at IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2017), Montreal, QC, Canada, May 28-31, 2017. (pp. 164-166). IEEE. [BibTeX]
• Fan, H. , Arain, M. A. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2017). Improving Gas Dispersal Simulation For Mobile Robot Olfaction: Using Robot-Created Occupancy Maps And Remote Gas Sensors In The Simulation Loop. In:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Paper presented at 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 28-31 May 2017 Montreal, QC, Canada. IEEE conference proceedings. [BibTeX]
• Arain, M. A. , Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2017). Improving Gas Tomography With Mobile Robots: An Evaluation of Sensing Geometries in Complex Environments. In:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Paper presented at 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 28-31 May 2017 Montreal QC, Canada. IEEE. [BibTeX]
• Xing, Y. , Vincent, T. A. , Cole, M. , Gardner, J. W. , Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2017). Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. In:  IEEE SENSORS 2017 Conference Proceedings. Paper presented at 16th IEEE Sensors Conference, Glasgow, Scotland, UK, October 29 - November 1, 2017. (pp. 1691-1693). New York: Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Schaffernicht, E. , Hernandez Bennetts, V. & Lilienthal, A. (2017). Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach: The Echo State map approach. In:  2017 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, Singapore, May 27-June 3, 2017. (pp. 2659-2665). Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Mosberger, R. , Schaffernicht, E. , Andreasson, H. & Lilienthal, A. J. (2016). Inferring human body posture information from reflective patterns of protective work garments. In:  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, October 9-14, 2016. (pp. 4131-4136). Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Kucner, T. , Magnusson, M. , Schaffernicht, E. , Hernandez Bennetts, V. & Lilienthal, A. (2016). Tell me about dynamics!: Mapping velocity fields from sparse samples with Semi-Wrapped Gaussian Mixture Models. In:  Robotics Science and Systems Conference (RSS 2016). Paper presented at Robotics: Science and Systems Conference (RSS 2016), Workshop: Geometry and Beyond - Representations, Physics, and Scene Understanding for Robotics, University of Michigan, Ann Arbor, Ml, USA, June 18-22, 2016. [BibTeX]
• Arain, M. A. , Schaffernicht, E. , Hernandez Bennetts, V. & Lilienthal, A. J. (2016). The Right Direction to Smell: Efficient Sensor Planning Strategies for Robot Assisted Gas Tomography. In:  2016 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 16-21, 2016. (pp. 4275-4281). New York, USA: IEEE Robotics and Automation Society. [BibTeX]
• Hernandez Bennetts, V. , Schaffernicht, E. , Lilienthal, A. J. , Fan, H. , Kucner, T. P. , Andersson, L. & Johansson, A. (2016). Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. In:  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeong, Korea, October 9-14, 2016. (pp. 131-136). Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2016). Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. In:  2016 IEEE SENSORS. Paper presented at 15th IEEE Sensors Conference (SENSORS 2016), Orlando, USA, October 30 - November 2, 2016. Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Khaliq, A. , Pashami, S. , Schaffernicht, E. , Lilienthal, A. J. & Hernandez Bennetts, V. (2015). Bringing Artificial Olfaction and Mobile Robotics Closer Together: An Integrated 3D Gas Dispersion Simulator in ROS. In:  Proceedings of the 16th International Symposium on Olfaction and Electronic Noses. Paper presented at 16th International Symposium on Olfaction and Electronic Noses (ISOEN 2015), Dijon, Burgundy, France, June 28 - July 1, 2015. [BibTeX]
• Arain, M. A. , Cirillo, M. , Hernandez Bennetts, V. , Schaffernicht, E. , Trincavelli, M. & Lilienthal, A. J. (2015). Efficient Measurement Planning for Remote Gas Sensing with Mobile Robots. In:  2015 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, May 26-30, 2015. (pp. 3428-3434). Washington, USA: IEEE. [BibTeX]
• Hernandez Bennetts, V. , Lilienthal, A. J. , Schaffernicht, E. , Ferrari, S. & Albertson, J. (2015). Integrated Simulation of Gas Dispersion and Mobile Sensing Systems. In:  Workshop on Realistic, Rapid and Repeatable Robot Simulation. Paper presented at Robotics Science and Systems (RSS) 2015, Workshop on Realistic, Rapid and Repeatable Robot Simulation (R4 SIM), Sapienza University, Rome, Italy, July 16, 2015. [BibTeX]
• Hernandez Bennetts, V. , Schaffernicht, E. , Pomadera Sese, V. , Lilienthal, A. J. & Trincavelli, M. (2014). A Novel Approach for Gas Discrimination in Natural Environments with Open Sampling Systems. In:  Proceedings of the IEEE Sensors Conference 2014. Paper presented at IEEE Sensors Conference 2014, Valencia, Spain, November 2-5, 2014.2049). IEEE conference proceedings. [BibTeX]
• Mojtahedzadeh, R. , Bouguerra, A. , Schaffernicht, E. & Lilienthal, A. J. (2014). Probabilistic Relational Scene Representation and Decision Making Under Incomplete Information for Robotic Manipulation Tasks. In:  Robotics and Automation (ICRA), 2014 IEEE International Conference on. Paper presented at 2014 IEEE International Conference on Robotics and Automation (ICRA 2014, Hong Kong, China, May 31 - June 7, 2014. (pp. 5685-5690). IEEE Robotics and Automation Society. [BibTeX]
• Bennetts, V. H. , Schaffernicht, E. , Stoyanov, T. , Lilienthal, A. J. & Trincavelli, M. (2014). Robot Assisted Gas Tomography - Localizing Methane Leaks in Outdoor Environments. In:  2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA). Paper presented at IEEE International Conference on Robotics and Automation (ICRA), MAY 31-JUN 07, 2014, Hong Kong, PEOPLES R CHINA. (pp. 6362-6367). IEEE conference proceedings. [BibTeX]
• Hernandez Bennetts, V. , Schaffernicht, E. , Stoyanov, T. , Lilienthal, A. J. & Trincavelli, M. (2014). Robot assisted gas tomography: an alternative approach for the detection of fugitive methane emissions. In:  Workshop on Robot Monitoring. Paper presented at Workshop on Robotic Monitoring at the Robotics Science and Systems (RSS), Berkeley Ca., USA, July 13, 2014. [BibTeX]
• Kaltenhaeuser, R. , Schaffernicht, E. , Steege, F. & Gross, H. (2013). Evolutionary computation based system decomposition with neural networks. In:  ESANN 2013 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligenceand Machine Learning. Paper presented at 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Bruges, Belgium, April 24-26, 2013. (pp. 191-196). Louvain-La-Neuve: ESANN. [BibTeX]
• Lilienthal, A. J. , Trincavelli, M. & Schaffernicht, E. (2013). It's always smelly around here! Modeling the Spatial Distribution of Gas Detection Events with BASED Grid Maps. In:  Proceedings of the 15th International Symposium on Olfaction and Electronic Nose (ISOEN 2013). Paper presented at 15th International Symposium on Olfaction and Electronic Nose (ISOEN 2013). [BibTeX]
• Hernandez Bennetts, V. , Trincavelli, M. , Lilienthal, A. J. , Pomadera Sese, V. & Schaffernicht, E. (2013). Online parameter selection for gas distribution mapping. In:  Proceedings of the ISOEN conference 2013. Paper presented at 15th International Simposium on Olfaction and Electronic Nose (ISOEN). [BibTeX]

Conference proceedings (editor)

• Iannotta, M. (ed.) , Stork, J. A. (ed.) , Schaffernicht, E. (ed.) & Stoyanov, T. (ed.) (2025). On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning.. Springer. [BibTeX]