Safety Enables Cooperation in Uncertain Robotic Environments

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Pubblicazioni

Reusing speech representations for auditory emotion recognition

Autori: Lakomkin, E., Magg, S., Weber, C., Wermter, S.
Pubblicato in: Artificial Neural Networks and Machine Learning – ICANN 2017, Numero LNCS vol. 10614, 2017
Editore: Springer

Dialogue-based neural learning to estimate sentiment of next upcoming utterance

Autori: Bothe, C., Magg, S., Weber, C., Wermter, S.
Pubblicato in: Artificial Neural Networks and Machine Learning – ICANN 2017, Numero LNCS vol. 10614, 2017, Pagina/e 477-486
Editore: Springer

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection

Autori: Egor Lakomkin, Chandrakant Bothe, Stefan Wermter
Pubblicato in: Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2017, Pagina/e 169-174
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w17-5222

Deep Reinforcement Learning using Symbolic Representation for Performing Spoken Language Instructions.

Autori: Zamani, M.A., Magg, S., Weber, C., and Wermter, S.
Pubblicato in: In 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) in the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)., 2017
Editore: BAILAR

On-line joint limit avoidance for torque controlled robots by joint space parametrization

Autori: Charbonneau, M., Nori, F., Pucci, D.
Pubblicato in: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 2016, Pagina/e 899-904
Editore: IEEE
DOI: 10.1109/HUMANOIDS.2016.7803379

Automatically augmenting an emotion dataset improves classification using audio

Autori: Lakomkin, E., Weber, C., Wermter, S.
Pubblicato in: 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL)., 2017
Editore: ACL

A fast heuristic Cartesian space motion planning algorithm for many-DoF robotic manipulators in dynamic environments

Autori: Phuong D. H. Nguyen, Matej Hoffmann, Ugo Pattacini, Giorgio Metta
Pubblicato in: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 2016, Pagina/e 884-891, ISBN 978-1-5090-4718-5
Editore: IEEE
DOI: 10.1109/HUMANOIDS.2016.7803377

Investigating Human Perceptions of Trust in Robots for Safe HRI in Home Environments

Autori: Rossi, A., Dautenhahn, K., Koay, K. L., & Saunders, J.
Pubblicato in: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017, Pagina/e 375-376
Editore: ACM
DOI: 10.1145/3029798.3034822

Sample-efficient deep reinforcement learning with imaginary rollouts for human-robot interaction

Autori: Mohammad Thabet, Angelo Cangelosi
Pubblicato in: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Editore: IEEE

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos

Autori: Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter
Pubblicato in: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2018, Pagina/e 90-95
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d18-2016

Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Autori: Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter
Pubblicato in: Interspeech 2018, 2018, Pagina/e 996-1000
Editore: ISCA
DOI: 10.21437/interspeech.2018-2527

On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks

Autori: Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
Pubblicato in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Pagina/e 854-860, ISBN 978-1-5386-8094-0
Editore: IEEE
DOI: 10.1109/iros.2018.8593571

Learning Robust Task Priorities of QP-Based Whole-Body Torque-Controllers

Autori: Marie Charbonneau, Valerio Modugno, Francesco Nori, Giuseppe Oriolo, Daniele Pucci, Serena Ivaldi
Pubblicato in: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 2018, Pagina/e 1-9, ISBN 978-1-5386-7283-9
Editore: IEEE
DOI: 10.1109/HUMANOIDS.2018.8624995

Accelerating Deep Continuous Reinforcement Learning through Task Simplification

Autori: Matthias Kerzel, Hadi Beik Mohammadi, Mohammad Ali Zamani, Stefan Wermter
Pubblicato in: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Pagina/e 1-6, ISBN 978-1-5090-6014-6
Editore: IEEE
DOI: 10.1109/ijcnn.2018.8489712

The OMG-Emotion Behavior Dataset

Autori: Pablo Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter
Pubblicato in: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Pagina/e 1-7, ISBN 978-1-5090-6014-6
Editore: IEEE
DOI: 10.1109/ijcnn.2018.8489099

Getting to know Pepper - Effects of people's awareness of a robot's capabilities on their trust in the robot

Autori: Alessandra Rossi, Patrick Holthaus, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters
Pubblicato in: Proceedings of the 6th International Conference on Human-Agent Interaction - HAI '18, 2018, Pagina/e 246-252, ISBN 9781-450359535
Editore: ACM Press
DOI: 10.1145/3284432.3284464

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning

Autori: Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
Pubblicato in: 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, Pagina/e 4445-4450, ISBN 978-1-5386-3081-5
Editore: IEEE
DOI: 10.1109/icra.2018.8461058

Compact Real-time Avoidance on a Humanoid Robot for Human-robot Interaction

Autori: Dong Hai Phuong Nguyen, Matej Hoffmann, Alessandro Roncone, Ugo Pattacini, Giorgio Metta
Pubblicato in: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction - HRI '18, 2018, Pagina/e 416-424, ISBN 9781-450349536
Editore: ACM Press
DOI: 10.1145/3171221.3171245

Learning Spatial Representation for Secure Human-Robot Collaboration in Joint Manual Tasks

Autori: Zamani, M.A., Beik-Mohammadi, H., Kerzel, M., Magg, S., Wermter, S
Pubblicato in: Proceedings of ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE), 2018
Editore: a

Neural End-to-End Learning of Reach for Grasp Ability with a 6-DoF Robot Arm

Autori: Hadi Beik-Mohammadi, Matthias Kerzel, Michael Görner, Mohammad Ali Zamani, Manfred Eppe, Stefan Wermter
Pubblicato in: Proceedings of IROS 2018 Workshop on Machine Learning in Robot Motion Planning, 2018
Editore: online

A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks

Autori: Bothe, Chandrakant; Weber, Cornelius; Magg, Sven; Wermter, Stefan
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference (LREC-2018), 2018, Pagina/e 1952--1952, ISBN 979-10-95546-00-9
Editore: European Language Resources Association (ELRA)

Merging Physical and Social Interaction for Effective Human-Robot Collaboration

Autori: Phuong D.H. Nguyen, Fabrizio Bottarel, Ugo Pattacini, Matej Hoffmann, Lorenzo Natale, Giorgio Metta
Pubblicato in: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 2018, Pagina/e 1-9, ISBN 978-1-5386-7283-9
Editore: IEEE
DOI: 10.1109/humanoids.2018.8625030

MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues

Autori: Chandrakant Bothe, Stefan Wermter
Pubblicato in: Proceedings of the 13th International Workshop on Semantic Evaluation, 2019, Pagina/e 261-265
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/s19-2044

A Control Architecture with Online Predictive Planning for Position and Torque Controlled Walking of Humanoid Robots

Autori: Stefano Dafarra, Gabriele Nava, Marie Charbonneau, Nuno Guedelha, Francisco Andradel, Silvio Traversaro, Luca Fiorio, Francesco Romano, Francesco Nori, Giorgio Metta, Daniele Pucci
Pubblicato in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Pagina/e 1-9, ISBN 978-1-5386-8094-0
Editore: IEEE
DOI: 10.1109/iros.2018.8594277

Transferring Visuomotor Learning from Simulation to the Real World for Robotics Manipulation Tasks

Autori: Phuong D.H. Nguyen, Tobias Fischer, Hyung Jin Chang, Ugo Pattacini, Giorgio Metta, Yiannis Demiris
Pubblicato in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Pagina/e 6667-6674, ISBN 978-1-5386-8094-0
Editore: IEEE
DOI: 10.1109/iros.2018.8594519

Robot hand design with linkage and push-pull cable transmission

Autori: Alexis Billier, Giovanni Stellin, Giorgio Metta, Alberto Parmiggiani
Pubblicato in: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019, Pagina/e 1281-1286, ISBN 978-1-7281-2493-3
Editore: IEEE
DOI: 10.1109/aim.2019.8868820

Evaluation of an Industrial Robotic Assistant in an Ecological Environment

Autori: Busch, Baptiste ; Cotugno, Giuseppe ; Khoramshahi, Mahdi ; Skaltsas, Grigorios ; Turchi, Dario ; Urbano, Leonardo ; Wächter, Mirko ; Zhou, You ; Asfour, Tamim ; Deacon, Graham ; Russel, Duncan ; Billard, Aude
Pubblicato in: Proceedings of the IEEE RoMan Converence 2019, 2019
Editore: IEEE

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis

Autori: Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
Pubblicato in: 2019 International Conference on Robotics and Automation (ICRA), 2019, Pagina/e 7976-7982, ISBN 978-1-5386-6027-0
Editore: IEEE
DOI: 10.1109/icra.2019.8794468

Reaching development through visuo-proprioceptive-tactile integration on a humanoid robot - a deep learning approach

Autori: Phuong D.H. Nguyen, Matej Hoffmann, Ugo Pattacini, Giorgio Metta
Pubblicato in: 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019, Pagina/e 163-170, ISBN 978-1-5386-8128-2
Editore: IEEE
DOI: 10.1109/devlrn.2019.8850681

Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots

Autori: Chandrakant Bothe, Fernando Garcia, Arturo Cruz Maya, Amit Kumar Pandey, Stefan Wermter
Pubblicato in: Social Robotics - 10th International Conference, ICSR 2018, Qingdao, China, November 28 - 30, 2018, Proceedings, Numero 11357, 2018, Pagina/e 230-240, ISBN 978-3-030-05203-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-05204-1_23

How the Timing and Magnitude of Robot Errors Influence Peoples’ Trust of Robots in an Emergency Scenario

Autori: Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters
Pubblicato in: Social Robotics, Numero 10652, 2017, Pagina/e 42-52, ISBN 978-3-319-70021-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70022-9_5

Human Perceptions of the Severity of Domestic Robot Errors

Autori: Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters
Pubblicato in: Social Robotics, Numero 10652, 2017, Pagina/e 647-656, ISBN 978-3-319-70021-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70022-9_64

The impact of peoples’ personal dispositions and personalities on their trust of robots in an emergency scenario

Autori: Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters
Pubblicato in: Paladyn, Journal of Behavioral Robotics, Numero 9/1, 2018, Pagina/e 137-154, ISSN 2081-4836
Editore: de Gruyter
DOI: 10.1515/pjbr-2018-0010

Deep reinforcement learning using compositional representations for performing instructions

Autori: Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter, Di Fu
Pubblicato in: Paladyn, Journal of Behavioral Robotics, Numero 9/1, 2018, Pagina/e 358-373, ISSN 2081-4836
Editore: De Gruyter
DOI: 10.1515/pjbr-2018-0026

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self

Autori: Clement Moulin-Frier, Tobias Fischer, Maxime Petit, Gregoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure
Pubblicato in: IEEE Transactions on Cognitive and Developmental Systems, Numero 10/4, 2018, Pagina/e 1005-1022, ISSN 2379-8920
Editore: IEEE
DOI: 10.1109/TCDS.2017.2754143

iCub-HRI: A Software Framework for Complex Human–Robot Interaction Scenarios on the iCub Humanoid Robot

Autori: Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure
Pubblicato in: Frontiers in Robotics and AI, Numero 5, 2018, ISSN 2296-9144
Editore: Frontiers
DOI: 10.3389/frobt.2018.00022

Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity

Autori: Wansoo Kim, Marta Lorenzini, Pietro Balatti, Phuong D.H. Nguyen, Ugo Pattacini, Vadim Tikhanoff, Luka Peternel, Claudio Fantacci, Lorenzo Natale, Giorgio Metta, Arash Ajoudani
Pubblicato in: IEEE Robotics & Automation Magazine, Numero 26/3, 2019, Pagina/e 14-26, ISSN 1070-9932
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2018.2890460

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