Making Robots Learn to See

Heidemann G, Ritter H (2003)
In: Adaptivity and Learning: An Interdisciplinary Debate. Kühn R (Ed);Berlin: Springer: 285-309.

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Kühn, R.
Abstract
Machine vision will be a key technique in future robotics. Though we are still far from the construction of robots with human capabilities, machine vision already plays an increasingly important role in many robot applications. In this contribution, we will outline a man machine interaction scenario as an example what can be achieved by now using adaptive methods in machine vision. We will discuss the problems of current vision systems and outline possible future developments
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Heidemann G, Ritter H. Making Robots Learn to See. In: Kühn R, ed. Adaptivity and Learning: An Interdisciplinary Debate. Berlin: Springer; 2003: 285-309.
Heidemann, G., & Ritter, H. (2003). Making Robots Learn to See. In R. Kühn (Ed.), Adaptivity and Learning: An Interdisciplinary Debate (pp. 285-309). Berlin: Springer.
Heidemann, G., and Ritter, H. (2003). “Making Robots Learn to See” in Adaptivity and Learning: An Interdisciplinary Debate, ed. R. Kühn (Berlin: Springer), 285-309.
Heidemann, G., & Ritter, H., 2003. Making Robots Learn to See. In R. Kühn, ed. Adaptivity and Learning: An Interdisciplinary Debate. Berlin: Springer, pp. 285-309.
G. Heidemann and H. Ritter, “Making Robots Learn to See”, Adaptivity and Learning: An Interdisciplinary Debate, R. Kühn, ed., Berlin: Springer, 2003, pp.285-309.
Heidemann, G., Ritter, H.: Making Robots Learn to See. In: Kühn, R. (ed.) Adaptivity and Learning: An Interdisciplinary Debate. p. 285-309. Springer, Berlin (2003).
Heidemann, Gunther, and Ritter, Helge. “Making Robots Learn to See”. Adaptivity and Learning: An Interdisciplinary Debate. Ed. R. Kühn. Berlin: Springer, 2003. 285-309.
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