Optimal Search Strategy of Robotic Assembly Based on Neural Vibration Learning
This paper presents implementation of optimal search strategy (OSS) in verification of assembly process based on neural vibration learning. The application problem is the complex robot assembly of miniature parts in the example of mating the gears of one multistage planetary speed reducer. Assembly...
Saved in:
| Main Authors: | Lejla Banjanovic-Mehmedovic, Senad Karic, Fahrudin Mehmedovic |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2011-01-01
|
| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2011/549489 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Haris Gekić, Aida Bidžan-Gekić, Nusret Drešković, Ranko Mirić, Péter Reményi (2022): The geography of Bosnia and Herzegovina – Between East and West
by: Hatidža Mehmedović
Published: (2024-12-01) -
Frequency and characteristics of Meckel's diverticulum in ten-year biopsy material of the institute of pathology
by: Mehmedović Amin, et al.
Published: (2025-01-01) -
The Use of the Modified Brixia Score for Predicting Mortality and Acute Respiratory Distress Syndrome in Patients with COVID-19 Pneumonia: What Have We Learned?
by: Armin Mehmedović, et al.
Published: (2025-06-01) -
Trajectory Planning of a 6-DOF Assembly Robot Based on the Atomic Orbit Search Algorithm
by: Huang Deqi, et al.
Published: (2023-12-01) -
Comparison of Innovative Strategies for the Coverage Problem: Path Planning, Search Optimization, and Applications in Underwater Robotics
by: Ahmed Ibrahim, et al.
Published: (2025-07-01)