The following literature contains the theoretical background to the tutorial's lectures, exercises, and projects. You may download select PDF files from the list below or fetch all reading materials as a zipped archive.
- Bicho, E., Louro, L., and Erlhagen, W. (2010). Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction. Frontiers in Neurobotics, 4:5.
- Bicho, E., Mallet, P., and Schöner, G. (2000). Target representation on an autonomous vehicle with low-level sensors. The International Journal of Robotics Research, 19:424-447.
- Erlhagen, W. and Bicho, E. (2006). The dynamic neural field approach to cognitive robotics. Journal of Neural Engineering, 3(3):R36-R54.
- Faubel, C. and Schöner, G. (2008). Learning to recognize objects on the fly: a neurally based dynamic field approach. Neural Networks, 21:562-576.
- Iossifidis, I. and Schöner, G. (2006). Dynamical systems approach for the autonomous avoidance of obstacles and joint-limits for an redundant robot arm. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 580-585.
- Monteiro, S. and Bicho E. Attractor dynamics approach to formation control: theory and application. Autonomous Robots (accepted).
- Schöner, G. (2008). Dynamical systems approaches to cognition. In Sun, R., editor, Cambridge Handbook of Computational Cognitive Modeling, pages 101-126, Cambridge, UK. Cambridge University Press.
- Schöner, G., Dose, M., and Engels, C. (1995). Dynamics of behavior: Theory and applications for autonomous robot architectures. Robotics and Autonomous Systems, 16:213-245.