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Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction.

, , and . Front. Neurorobot., (2010)

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The power of prediction: Robots that read intentions., , , , , , , , , and 7 other author(s). IROS, page 5458-5459. IEEE, (2012)Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction., , and . Front. Neurorobot., (2010)A software framework for the implementation of Dynamic Neural Field control architectures for human-robot interaction., , , , , , and . ICARSC, page 146-152. IEEE, (2017)Motion Control for Autonomous Tugger Vehicles in Dynamic Factory Floors Shared with Human Operators., , , , , , , and . IECON, page 5255-5262. IEEE, (2019)DSP performance evaluation for motion estimation., , , , and . ISSPA (2), page 137-140. IEEE, (2003)0-7803-7946-2.Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action., , , , and . Adaptive Behaviour, 24 (5): 350-372 (2016)Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model., , , , and . ICDL-EPIROB, page 157-162. IEEE, (2014)Towards temporal cognition for robots: A neurodynamics approach., , , , and . ICDL-EPIROB, page 407-412. IEEE, (2017)Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do?, , , , , , , and . ROBOT (1), volume 1092 of Advances in Intelligent Systems and Computing, page 368-378. Springer, (2019)