Publications

Please find many our publications that relate to TACMAN as well as all publications funded by TACMAN below. A bibtex file with all our publications is also available.



accepted

van Hoof, H.; Neumann, G.; Peters, J. (accepted). Non-parametric Policy Search with Limited Information Loss, Journal of Machine Learning Research (JMLR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vezzani, G; Pattacini, G.; Battistelli, G.; Chisci, L.; Natale, L. (accepted). Memory Unscented Particle Filter for 6-{DOF} Tactile Localization, IEEE Transactions on Robotics (conditionally accepted).   See Details [Details]   BibTeX Reference [BibTex]

2017

Kroemer, O.; Peters, J. (2017). A Comparison of Autoregressive Hidden Markov Models for Multi-Modal Manipulations with Variable Masses, Proceedings of the International Conference of Robotics and Automation, and IEEE Robotics and Automation Letters (RA-L), 2, 2, pp.1101 - 1108.   See Details [Details]   BibTeX Reference [BibTex]

2016

Chen, N.; Karl, M.; van der Smagt, P. (2016). Dynamic Movement Primitives in Latent Space of Time-Dependent Variational Autoencoders, Proc. 16th IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Higy, B.;Ciliberto, C.;Rosasco, L.;Natale, L. (2016). Combining Sensory Modalities and Exploratory Procedures to Improve Haptic Object Recognition in Robotics, Proceedings of IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   BibTeX Reference [BibTex]

Jamali, N.;Ciliberto, C.;Rosasco, L.;Natale, L. (2016). Active Perception: Building Objects Models' Using Tactile Exploration, Proceedings of IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   BibTeX Reference [BibTex]

Karl, M.; Bayer, J.; van der Smagt, P. (2016). Unsupervised preprocessing for Tactile Data, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Karl, M.; Lohrer, A.; Shah, D; Diehl, F., Fiedler, M.; Ognawala, S.; Bayer, J.; van der Smagt, P. (2016). ML-based tactile sensor calibration: A universal approach, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Karl, M.; Soelch, M.; Bayer, J.; van der Smagt, P. (2016). Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data, Workshop on Intuitive Physics at Advances in Neural Information Processing (NIPS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kohlschuetter, J.; Peters, J.; Rueckert, E. (2016). Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities, Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Regoli, M.;Pattacini, U.;Metta, G.;Natale, L. (2016). Hierarchical Grasp Controller Using Tactile Feedback, Proceedings of IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   BibTeX Reference [BibTex]

Rueckert, E.; Camernik, J.; Peters, J.; Babic, J. (2016). Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control, Nature PG: Scientific Reports, 6, 28455.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Soelch, M.; Bayer, J.; Ludersdorfer, M.; van der Smagt, P. (2016). Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series, Workshop on Anomaly Detection at International Conference on Machine Learning (ICML).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tanneberg, D.; Paraschos, A.; Peters, J.; Rueckert, E. (2016). Deep Spiking Networks for Model-based Planning in Humanoids, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H.; Chen, N.; Karl, M.; van der Smagt, P.; Peters, J. (2016). Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F.F.; Peters, J. (2016). Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vezzani, G.;Jamali, N.;Pattacini, U.;Battistelli, G.;Chisci, L.;Natale, L. (2016). A Novel Bayesian Filtering Approach to Tactile Object Recognition, Proceedings of IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   BibTeX Reference [BibTex]

Vezzani, G; Pattacini, G.; Battistelli, G.; Chisci, L.; Natale, L. (2016). Memory Unscented Particle Filter for 6-{DOF} Tactile Localization, arXiv:1607.02757.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wolf, C.; Karl, M.; van der Smagt, P. (2016). Variational Inference with Hamiltonian Monte Carlo, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Yi, Z.; Calandra, R.; Veiga, F.; van Hoof, H.; Hermans, T.; Zhang, Y.; Peters, J. (2016). Active Tactile Object Exploration with Gaussian Processes, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

2015

Bayer, J.; Karl, M.; Korhammer, D.; van der Smagt, P. (2015). Fast Adaptive Weight Noise, arXiv.   See Details [Details]   BibTeX Reference [BibTex]

Chen, N.; Bayer, J.; Urban, S.; van der Smagt, P. (2015). Measuring Fingertip Forces from Camera Images for Random Finger Poses, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chen, N.; Bayer, J.; Urban, S.; van der Smagt, P. (2015). Efficient movement representation by embedding Dynamic Movement Primitives in Deep Autoencoders, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), Seoul, Korea.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fiorio, L.; Eljaik, J.; Sandini, G.; Metta, G.; Nori, F. (2015). Towards a new terrain perception for humanoid robots, ICRA Workshop Get in touch! Tactile & force sensing for autonomous, compliant, intelligent robots, Seattle, Washington, USA .   See Details [Details]   BibTeX Reference [BibTex]

Fiorio, L.; Romano, F.; Parmiggiani, A.; Sandini, G.; Metta, G.; Nori, F. (2015). An implementation of a muscle-like property in a variable stiffness actuator: the pnrVSA solution, ICRA Workshop on the intersections of robotics and biology, Seattle, Washington, USA.   See Details [Details]   BibTeX Reference [BibTex]

Hoelscher, J.; Peters, J.; Hermans, T. (2015). Evaluation of Interactive Object Recognition with Tactile Sensing, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Jamali, N.; Maggiali, M.; Giovannini, F.; Metta, G.; Natale, L. (2015). A New Design of a Fingertip for the iCub Hand, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany.   See Details [Details]   BibTeX Reference [BibTex]

Jamali, N.; Metta, G.; Natale, L. (2015). iCub Tactile Sensing System: Current State and Future Directions, ICRA Workshop Get in touch! Tactile & force sensing for autonomous, compliant, intelligent robots, Seattle, Washington, USA.   See Details [Details]   BibTeX Reference [BibTex]

Leischnig, S.; Luettgen, S.; Kroemer, O.; Peters, J. (2015). A Comparison of Contact Distribution Representations for Learning to Predict Object Interactions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Urban, S.; Ludersdorfer, M.; van der Smagt, P. (2015). Sensor Calibration and Hysteresis Compensation with Heteroscedastic Gaussian Processes, Sensors Journal, IEEE, 15, 11, pp.6498--6506.   See Details [Details]   BibTeX Reference [BibTex]

Urban, S.; van der Smagt, P. (2015). A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions, arXiv.   See Details [Details]   BibTeX Reference [BibTex]

van Hoof, H.; Hermans, T.; Neumann, G.; Peters, J. (2015). Learning Robot In-Hand Manipulation with Tactile Features, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H.; Peters, J.; Neumann, G. (2015). Learning of Non-Parametric Control Policies with High-Dimensional State Features, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F.F.; van Hoof, H.; Peters, J.; Hermans, T. (2015). Stabilizing Novel Objects by Learning to Predict Tactile Slip, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

2014

Bayer, J.; Osendorfer, C. (2014). Learning Stochastic Recurrent Networks, Workshop on Advances in Variational Inference at Advances in Neural Information Processing Systems (NIPS).   See Details [Details]   BibTeX Reference [BibTex]

Chebotar, Y.; Kroemer, O.; Peters, J. (2014). Learning Robot Tactile Sensing for Object Manipulation, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chen, N.; Urban, S.; Osendorfer, C.; Bayer, J.; Smagt, P. van der (2014). Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian Processes, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hermans, T.; Veiga, F.; Hölscher, J.; van Hoof, H.; Peters, J. (2014). Demonstration: Learning for Tactile Manipulation, Advances in Neural Information Processing Systems (NIPS), Demonstration Track., MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Horii, T.; Giovannini, F.; Nagai, Y.; Natale, L.; Metta, G.; Asada, M. (2014). Contact Force Estimation from Flexible Tactile Sensor Values Considering Hysteresis by Gaussian Process, International Conference on Development and Learning and on Epigenetic Robotics.   See Details [Details]   BibTeX Reference [BibTex]

Horii, T.; Giovannini, F.; Nagai, Y.; Natale, L.; Metta, G.; Asada, M. (2014). Compensation of Tactile Hysteresis using Gaussian Process with Sensory Markov Property, IEEE-RAS International Conference on Humanoid Robots.   See Details [Details]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2014). Predicting Object Interactions from Contact Distributions, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; van Hoof, H.; Neumann, G.; Peters, J. (2014). Learning to Predict Phases of Manipulation Tasks as Hidden States, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

2013

Peters, J.; Kober, J.; Muelling, K.; Kroemer, O.; Neumann, G. (2013). Towards Robot Skill Learning: From Simple Skills to Table Tennis, Proceedings of the European Conference on Machine Learning (ECML), Nectar Track.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Urban, S.; Bayer, J.; Osendorfer, C.; Wesling, G.; Edin, B.B..; Smagt, P. van der (2013). Computing grip force and torque from finger nail images using Gaussian processes, Proc. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.4034--4039.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
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