| Yan-Bin Jia and Michael Erdmann. Observing pose and motion through contact. In 1998. |
.... ambiguous situations, an active robotic platform has the potential to perform experiments on its environment that resolve the ambiguity (see Figure 1) Methods for characterizing the shape of an object through tactile information have been developed, such as shape from probing [3, 8] or pushing [6, 7]. In this paper, we show that the visual feedback generated when the robot moves an object is highly informative, even when the motion is short and poorly controlled, or even accidental. This opens the door to extracting information from failed actions such as a glancing blow to an object during ....
Yan-Bin Jia and Michael Erdmann. Observing pose and motion through contact. In Proceedings of the IEEE International Conference on Robotics and Automation, May 1998.
....the true nature of physical assemblages. 5 Discussion and Conclusions The number of papers written on techniques for visual segmentation is vast. Methods for characterizing the shape of an object through tactile information are also being developed, such as shape from probing [5, 18] or pushing [16, 10]. But while it has long been known that motor strategies can aid vision [1] work on active vision has focused almost exclusively on moving cameras. There is much to be gained by bringing a manipulator into the equation, as we have shown in this paper. Many variants and extensions to the ....
Yan-Bin Jia and Michael Erdmann. Observing pose and motion through contact. In Proceedings of the IEEE International Conference on Robotics and Automation, May 1998.
....showed how they could be used for fine grip adjustment and other robotics applications. The beauty of Montana s derivation is that if the contacting surfaces are described by orthogonal networks then the kinematics relationship can be described with matrices from differential geometry. See also [33, 10, 25, 22] for alternate derivations and applications. Goyal derives various constraints in [17] for the purpose of smooth surface simulation. The equations in this paper were derived to allow smooth surface interaction for Cremer s Newton dynamic simulator. The provided example interactions are limited to ....
....component of physically based simulations. Collision detection can be minimized or even omitted if we know that the object shapes do not allow multiple contacts. 18 Additionally, single contact can be useful in a variety of situations, such as haptics, 35] and certain manipulation examples, [22]. Fast contact evolution is interesting for real time interaction with smooth objects where contact evolution information is used for sound synthesis, 13, 14] 19 Chapter 4 Formulation 4.1 Preliminaries In this thesis we use a notation for spatial dynamics which is similar to [15, 44, 21, 30, ....
Y. Jia and M. A. Erdmann. Observing pose and motion through contact. In Proceedings of the IEEE International Conference on Robotics and Automation, 1998. 82
....of flat or polygonal surface contacts. Work on rolling contact has studied the problems of grasping, pushing, and steering. Prior work in this area beginning with [Montana, 1988] and [Cai, 1987] has made use of timedependent relations [Sarkar, 1994] Yun, 1995] Canny, 1990] Cremer, 1996] [Jia, 1998], Han, 1998] The evolutionary style of updating the point and angle of contact by adding the parametric contact coordinates to the generalized coordinates is not conveniently used with the Cartesian coordinates in the Lagrange multiplier constraints, formulated in [Shabana, 1994] Haug, 1992] ....
Jia, Y., Erdmann, M., "Observing Pose and Motion through Contact," in Int. Conf. Robotics and Automation, pp. 723-729., 1998.
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Yan-Bin Jia and Michael Erdmann. Observing pose and motion through contact. In 1998.
No context found.
Y. Jia and M. Erdmann. Observing pose and motion through contact. In IEEE International Conference on Robotics and Automation, pages 723-729, 1998.
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