BROWSE
Detail
Conference Paper
Dynamic Object Recognition Using Precise Location Detection and ANN for Robot Manipulator
Cited 16 time in 
Share 
Share
- Authors
- Kyekyung Kim, Jaemin Cho, Jihyeong Pyo, Sangseung Kang, Jinho Kim
- Issue Date
- 2017-05
- Citation
- International Conference on Control, Artificial Intelligence, Robotics and Optimization (ICCAIRO) 2017, pp.237-241
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents vision based dynamic object recognition system for robot manipulation tasks by increasing the needs of automation machine vision. Object recognition or localization technology is used for pick and place task using robot. The dynamic object recognition system detects landmark features using neural network and provides grasping points of randomly located object, bin-picking object, visual servoing object to robot. The characteristic of dynamic object is free of posture, location, shape, distance, stacked form and is not restricted in illumination condition. This paper uses neural network based feature extractor and object classifier to recognize dynamic object. Dynamic object recognition system goes through image processing less impact to illumination effect, landmark feature extraction according to an object, coupled NN based object detection and recognition. We have evaluated performance of dynamic object recognition by testing detection of location, estimation of posture, distance to object and by identifying object type. And the other performance has evaluated by processing pick and place task using robot manipulator.
- KSP Keywords
- Bin-picking, Feature extractioN, Illumination conditions, Illumination effect, Image processing(IP), Located object, Location detection, Object Detection and Recognition, Pick and Place, Precise location, Robot manipulation