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SmartView: hand-eye robotic calibration for active viewpoint generation and object grasping

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2 Author(s)
Motai, Y. ; Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA ; Kosaka, A.

Viewpoint calibration is a method to manipulate hand-eye for generating calibration parameters for active viewpoint control and object grasping. This paper presents a new approach to hand-eye robotic calibration for vision-based object modeling and grasping. Our method provides a 1.0 pixel level of image registration accuracy when a standard Puma robot generates an arbitrary viewpoint. In order to attain this accuracy, our new formalism of hand-eye calibration deals with a lens distortion model of a vision sensor and utilizes a new parameter estimation algorithm using an extended Kalman filter. We demonstrate the power of this new method called "SmartView" for: 1) generating 3D object models using an interactive 3D modeling editor; 2) recognizing 3D objects using stereo vision systems; and 3) grasping 3D objects using a manipulator. Experimental results using a Puma robot are shown.

Published in:

Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on  (Volume:3 )

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