Published 1994
| Version v1
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Visual control of a robot manipulator using neural networks
- 1. Fujitsu Labs. Ltd., Kawasaki, Kanagawa (Japan)
Description
This paper describes a vision-motor fusion system using neural networks, consisting of multiple vision sensors and a manipulator, for grasping an object placed in a desired position and attitude in a three-dimensional workspace. The system does not need complicated vision sensor calibration and calculation of a transformation matrix, and can thus be easily constructed for grasping tasks. An experimental system with two TV cameras and a manipulator with six degrees of freedom grasped a connector suspended in a three-dimensional workspace with high accuracy. (author)
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Additional details
Publishing Information
- Imprint Title
- Proceedings of specialists' meeting on application of artificial intelligence and robotics to nuclear plants
- Imprint Pagination
- 431 p.
- Journal Page Range
- p. 241-249.
- Report number
- INIS-JP--027
Conference
- Title
- specialists' meeting on application of artificial intelligence and robotics to nuclear plants.
- Acronym
- AIR'94
- Dates
- 30 May - 1 Jun 1994.
- Place
- Tokai, Ibaraki (Japan).
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 26041449
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ACCURACY; COMPUTERIZED CONTROL SYSTEMS; GAUSSIAN PROCESSES; IMAGE PROCESSING; MANIPULATORS; NEURAL NETWORKS; REMOTE VIEWING EQUIPMENT; ROBOTS; SIMULATORS
- Descriptors DEC
- ANALOG SYSTEMS; CONTROL SYSTEMS; EQUIPMENT; FUNCTIONAL MODELS; LABORATORY EQUIPMENT; MATERIALS HANDLING EQUIPMENT; ON-LINE CONTROL SYSTEMS; ON-LINE SYSTEMS; REMOTE HANDLING EQUIPMENT