Aktuelles

Beschreibung

Material

• ROS_intro_demos.pdf: ROS introduction with respect to the cambot and gripperbot demonstrators
• object_detector.bag: ROS bag file for object detector (yellow object)
• objects_two.bag: ROS bag with two objects (yellow and green)

Literaturhinweise

Bicchi, A.; Kumar, V., Robotic grasping and contact: a review, Robotics and Automation, 2000. Proceedings. ICRA '00, pp.348-353, 2000
Bird, E. Klein, and E. Loper, Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. Sebastopol, CA: O’Reilly, 2009.
Bishop, C. M. Pattern Recognition and Machine Learning. New York: Springer, 2006.
Chen, S., Li, Y., & Kwok, N.M. Active vision in robotic systems: A survey of recent developments. MIT press, 2005.
Corke, P. Robotics, Vision and Control: Fundamental Algorithms in MATLAB. Springer, 2013
Doucet, A., de Freitas, N., Gordon, N. (Eds)., Sequential Monte Carlo Methods in Practice, Statistics for Engineering and Information Science, Springer, 2001.
Ferrucci, E. Brown, J. Chu-Carroll, and J. Fan, “Building Watson: An overview of the DeepQA project,” AI Magazine, pp. 59–79, 2010.
Ghallab et al., Automated Planning – theory and practice, Morgan Kaufmann Publishers, 2004
Haschke, J.J. Steil, I. Steuwer, H. Ritter, Task-oriented quality measures for dextrous grasping, in: IEEE International Symposium on Computational IntelligenceinRoboticsandAutomation,2005,pp.689–694.
Helmert (2006) "The Fast Downward Planning System", Journal of Artificial Intelligence Research, Volume 26, pages 191-246
Hoffmann and B. Nebel (2001) "The FF Planning System: Fast Plan Generation Through Heuristic Search", Journal of Artificial Intelligence Research, pp. 253-302
Hyvärinen, A., Hurri, J., & Hoyer, P.O. Natural Image Statistics - A probabilistic Approach to Early Computational Vision. Springer, 2009
Kalman, R.E. A new approach to linear filtering and prediction problems. Transactions of the American Society for Mechanical Engineering, Series D, 35–45, 1960
Knoll & I. Glöckner. A Basic System for Multimodal Robot Instruction. In: P. Kühnlein, H. Rieser, H. Zeevat (eds.) Perspectives on Dialogue in the New Millenium, Pragmatics and Beyond New Series, Vol. 114, John Benjamins, 2003
Langley, P.: Cognitive architectures and general intelligent systems. AI Magazine 27(2), 33–44 (2006).
MacKenzie and T. Iberall. The Grasping Hand. Advances in Psychology (Vol. 104), 1994
Maturana, H. Varela, F. The Tree of Knowledge. Shambhala Publications; Revised Edition, 1992.
Maybeck, Peter S. Stochastic models, estimation, and control, Mathematics in Science and Engineering 141, 1979
Miller, A.T.; Allen, P.K., "Graspit! A versatile simulator for robotic grasping," Robotics & Automation Magazine, IEEE , vol.11, no.4, pp.110-122
Murray, Z.X.Li, and S.S.Sastry. A Mathematical Introduction to Robotic Manipulation. CRC Press, 1994.
Pieraccini, The Voice in the Machine. Cambridge, MA: MIT Press, 2012.
Russel, Norvig, Artificial Intelligence: A Modern Approach, 3rd ed. Chapters 10+11
Sahbani, S. El-Khoury, P. Bidaud, An overview of 3D object grasp synthesis algorithms, Robotics and Autonomous Systems, Volume 60, Issue 3, pp. 326-336
Steels, “The symbol grounding problem has been solved, so what’s next?,” in Symbols and Embodiment: Debates on Meaning and Cognition, M. de Vega, A. M. Glenberg, and A. C. Graesser, Eds. Oxford: Oxford University Press, 2008, pp. 223–244.
Steven M. LaValle, Planning Algorithms, Cambridge University Press, 2006, online available http://planning.cs.uiuc.edu/
Sun, R.: Desiderata for cognitive architectures. Philosophical Psychology 17(3), 341–373 (2004).
Thrun, S., Burgard, W., & Fox, D. Probabilistic robotics. Cambridge: MIT press, 2005.
Tsotsos, J.K.: A Computational Perspective on Visual Attention. MIT press, 2011
Varela, E. Thompson, E. Rosch. The Embodied Mind: Cognitive Science and Human Experience. The MIT Press, 1992
Vernon, D., von Hofsten, C., and Fadiga, L. A. Roadmap for Cognitive Development in Humanoid Robots, Cognitive Systems Monographs, Springer (2010).