Dynamic Tactile Sensing for Object Identification

Heidemann G, Schöpfer M (2004)
In: Proc. IEEE Int'l Conf. on Robotics and Automation. New Orleans: IEEE: 813-818.

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Abstract
We propose a neural architecture for the recognition of objects by haptics. We demonstrate its performance for a set of household objects and toys using a low cost 2D pressure sensor of coarse resolution, which is moved by a robot arm guided by contact points. The approach transfers the well known viewbased method from computer vision to the domain of tactile sensing. However, in contrast to computer vision, not static frames but entire time series of 2D pressure proles are evaluated.
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Heidemann G, Schöpfer M. Dynamic Tactile Sensing for Object Identification. In: Proc. IEEE Int'l Conf. on Robotics and Automation. New Orleans: IEEE; 2004: 813-818.
Heidemann, G., & Schöpfer, M. (2004). Dynamic Tactile Sensing for Object Identification. Proc. IEEE Int'l Conf. on Robotics and Automation(April), 813-818.
Heidemann, G., and Schöpfer, M. (2004). “Dynamic Tactile Sensing for Object Identification” in Proc. IEEE Int'l Conf. on Robotics and Automation (New Orleans: IEEE), 813-818.
Heidemann, G., & Schöpfer, M., 2004. Dynamic Tactile Sensing for Object Identification. In Proc. IEEE Int'l Conf. on Robotics and Automation. New Orleans: IEEE, pp. 813-818.
G. Heidemann and M. Schöpfer, “Dynamic Tactile Sensing for Object Identification”, Proc. IEEE Int'l Conf. on Robotics and Automation, New Orleans: IEEE, 2004, pp.813-818.
Heidemann, G., Schöpfer, M.: Dynamic Tactile Sensing for Object Identification. Proc. IEEE Int'l Conf. on Robotics and Automation. p. 813-818. IEEE, New Orleans (2004).
Heidemann, Gunther, and Schöpfer, Matthias. “Dynamic Tactile Sensing for Object Identification”. Proc. IEEE Int'l Conf. on Robotics and Automation. New Orleans: IEEE, 2004. 813-818.
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