Journals

2017

Richter, M., Lins, J., Schöner, G. (2017). A neural dynamic model generates descriptions of object-oriented actions. Topics in Cognitive Science, 9 pp. 35-47, Wiley, Hoboken, New Jersey.

2016

Lomp, O., Richter, M., Zibner, S. K. U., Schöner, G. (2016). Developing dynamic field theory architectures for embodied cognitive systems with cedar. Frontiers in Neurorobotics, 10, pp. 14.

2015

Lobato, D., Sandamirskaya, Y., Richter, M., Schöner, G. (2015). Parsing of action sequences: A neural dynamics approachPaladyn, Journal of Behavioral Robotics, 6, pp. 119-135, De Gruyter, Berlin.

Luciw, M., Kazerounian, S., Lahkman, K., Richter, M., Sandamirskaya, Y. (2015). Learning the condition of satisfaction of an elementary behavior in Dynamic Field TheoryPaladyn, Journal of Behavioral Robotics, 6, pp. 180-190, De Gruyter, Berlin.

 

Conference proceedings

2016

Richter, M., Lins, J., Schöner, G. (2016). A neural dynamic model parses object-oriented actions. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, pp. 1931-1936. Austin, TX: Cognitive Science Society. Award for best modeling paper in higher-level cognition.

2014

Oubbati, F., Richter, M., Schöner, G. (2014). A neural dynamics to organize timed movements: Demonstration in a robot ball bouncing task. Fourth Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob 2014), pp. 291-298. IEEE.

Richter, M., Lins, J., Schneegans, S., Schöner, G. (2014). A neural dynamic architecture resolves phrases about spatial relations in visual scenes. In S. Wermter et al. (Eds.): Artificial Neural Networks and Machine Learning — ICANN 2014, 24th International Conference on Artificial Neural Network, Lecture Notes in Computer Science 8681, pp. 201–208, 2014, Springer Heidelberg. Best Paper Award.

Richter, M., Lins, J., Schneegans, S., Sandamirskaya, Y., Schöner, G. (2014). Autonomous neural dynamics to test hypotheses in a model of spatial language. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society, pp. 2847-2852. Austin, TX: Cognitive Science Society.

2013

Oubbati, F., Richter, M., Schöner, G. (2013). Autonomous robot hitting task using dynamical system approach. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), pp. 4042-4047.

Lomp, O., Zibner, S. K. U., Richter, M., Rano, I., Schöner, G. (2013). A software framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar. V. Mladenov et al. (Eds.): ICANN 2013, LNCS 8131, pp. 475-482, Springer, Heidelberg.

Kazerounian, S., Luciw, M., Richter, M., Sandamirskaya, Y. (2013). Autonomous reinforcement of behavioral sequences in neural dynamics. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2013).

2012

Richter, M., Sandamirskaya, Y., Schöner, G. (2012).  A robotic architecture for action selection and behavioral organization inspired by human cognition. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), pp. 2457-2464.

2011

Sandamirskaya, Y., Richter, M., Schöner, G. (2011). A neural dynamic architecture for behavioral organization of an embodied agent. IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011) (pp. 1-7). IEEE.

 

Conference abstracts

2012

Kazerounian, S., Luciw, M., Richter, M., Sandamirskaya, Y. (2012). Autonomous reinforcement of behavioral sequences in neural dynamics. Proceedings of the Second Joint Conference on Development and Learning and Epigenetic Robotics (ICDL-EPIROB 2012).

Richter, M., Sandamirskaya, Y. (2012). Neural dynamics for behavioral organization of an embodied agent. Sixteenth International Conference on Cognitive and Neural Systems (ICCNS 2012).

2011

Sandamirskaya, Y., Richter, M., Schöner, G. (2011). Neural dynamics of sequence generation and behavioral organization. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011.

 

Conference workshops

2013

Luciw, M., Kazerounian, S., Richter, M., Sandamirskaya, Y. (2013). Sampling behavioral spaces with dynamic neural fields. Robotics Science and Systems (RSS) workshop on "Hierarchical and Structured Learning for Robotics", Berlin, Germany, June 27, 2013.

Oubbati, F., Richter, M., Schöner, G. (2013). A hierarchical, neural-dynamic architecture generating sequences of timed movements. Robotics Science and Systems (RSS) workshop on "Hierarchical and Structured Learning for Robotics", Berlin, Germany, June 27, 2013.

Luciw, M., Lahkman, K., Richter, M., Kazerounian, S., Sandamirskaya, Y. (2013). Learning the perceptual conditions of satisfaction of elementary behaviors. Robotics Science and Systems (RSS) workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction, Berlin, Germany, June 27, 2013.

 

Other publications

Richter, Mathis (2011). A neural dynamic architecture for the behavioral organization of an autonomous robotic agent. Master thesis.

Richter, Mathis (2010). Using Enhanced Tree Growing Neural Gas networks to represent knowledge derived from artificial and real-world data. Bachelor thesis.