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SECURE Publications

Lakomkin, E., Weber, C., Wermter, S. (2017, April).
Automatically augmenting an emotion dataset improves classification using audio.
15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Valencia, Spain.

Rossi, A., Dautenhahn, K., Koay, K. L., & Saunders, J. (2017, March).
Investigating Human Perceptions of Trust in Robots for Safe HRI in Home Environments.
In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 375-376). ACM

Zamani, M.A., Magg, S., Weber, C., and Wermter, S. (2017, August).
Deep Reinforcement Learning using Symbolic Representation for Performing Spoken Language Instructions.
In 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) on Robot and Human Interactive Communication (RO-MAN), 2017 26th IEEE International Symposium on.

Bothe, C., Magg, S., Weber, C., and Wermter, S. (2017, September).
Dialogue-based Neural Learning to Estimate Sentiment of Next-upcoming Utterance. 
To be appear in 26th International Conference on Artificial Neural Networks (ICANN-2017).

Lakomkin, E., Bothe, C., and Wermter, S. (2017, September).
GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection.
To be appear in Workshop (WASSA) at EMNLP-2017.

Charbonneau, M., Nori, F., & Pucci, D. (2016, November).
On-line joint limit avoidance for torque controlled robots by joint space parametrization.
In Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on (pp. 899-904). IEEE. Cancun, Mexico. doi:10.1109/HUMANOIDS. 2016.7803379

Nguyen, P. D., Hoffmann, M., Pattacini, U., & Metta, G. (2016, November).
A fast heuristic Cartesian space motion planning algorithm for many-DoF robotic manipulators in dynamic environments.
In Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on (pp. 884-891). IEEE. Cancun, Mexico.