Abstract
So far, we have considered monocular and stereo vision to perceive the state of the world. However, vision alone is in some cases not sufficient: for example, a robot that picks up an object from a box cannot see which object it grasps because the robot partially occludes its view with its own gripper. In particular for robotic manipulation tasks, tactile sensing provides another sensor modality that can reveal relevant aspects about the object being manipulated, for example, to infer its identity, pose, and internal state.
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© 2013 Springer-Verlag Berlin Heidelberg
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Sturm, J. (2013). Object Recognition Using Tactile Sensors. In: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots. Springer Tracts in Advanced Robotics, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37160-8_6
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DOI: https://doi.org/10.1007/978-3-642-37160-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37159-2
Online ISBN: 978-3-642-37160-8
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