Paper
6 August 1993 Toward active pose estimation of a grasped object
A. Lynn Abbott
Author Affiliations +
Proceedings Volume 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods; (1993) https://doi.org/10.1117/12.150229
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
This paper concerns the use of visual feedback to verify whether an object has been properly grasped by a manipulator. The work is motivated by the fact that many general-purpose manipulators are equipped with very simple grippers which may not be well suited to grasping common objects. Furthermore, many robotic systems do not verify that a grasp operation has been successfully executed. This paper describes a system under development at Virginia Tech which utilizes visual feedback to guide relative camera-object movements for the purpose of estimating the pose of the object. The goal is to assist in computing object pose relative to a coordinate system embedded in the gripper. Object shape is assumed to be known in advance. Two methods are discussed, both of which utilize visually guided movements to search for a minimum in an objective function. The first method is to align the gripper with the image plane, facilitating the computation of object orientation about the normal to the image plane. The second involves moving the object to align its image with a desired view of the object. Extensive calibration of the camera or manipulator is not required. The methods discussed here are still at the conceptual stage, but illustrate the potential of the active approach.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Lynn Abbott "Toward active pose estimation of a grasped object", Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); https://doi.org/10.1117/12.150229
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KEYWORDS
Cameras

Visualization

Robot vision

Calibration

Computer vision technology

Machine vision

Imaging systems

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