File:A-New-Artificial-Neural-Network-Approach-in-Solving-Inverse-Kinematics-of-Robotic-Arm-(Denso-VP6242)-5720163.f1.ogv
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Original file (Ogg multiplexed audio/video file, Theora/Vorbis, length 1 min 13 s, 1,120 × 702 pixels, 1.44 Mbps overall, file size: 12.63 MB)
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This free media file is from Wikimedia Commons. Its description page is included below. |
Summary
| Description |
English: This is an experiment on robotic system motion control by using artificial neural network, the motion is applied in a helical path within the workspace area. |
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| Date | |||
| Source | Video file from Almusawi A, Dülger L, Kapucu S (2016). "A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242)". Computational Intelligence and Neuroscience. DOI:10.1155/2016/5720163. PMID 27610129. PMC: 5005769. | ||
| Author | Almusawi A, Dülger L, Kapucu S | ||
| Permission (Reusing this file) |
  This file is licensed under the Creative Commons Attribution 3.0 Unported license.
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 04:18, 25 September 2016 | 1 min 13 s, 1,120 × 702 (12.63 MB) | Open Access Media Importer Bot | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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