Pattern Recognition and Robotics

Pattern Recognition and Robotics

P. Geethanjali
Copyright: © 2018 |Pages: 15
DOI: 10.4018/978-1-5225-5204-8.ch064
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During the last few decades, there has been a considerable growth of interest in pattern recognition in the field of robotics. An application of pattern recognition in robotics includes mobile robots and service robots. Visual and signal recognition of patterns enables the robots to perform a variety of tasks such as object and target recognition, navigation, grasping, and manipulation, assisting physically challenged people. This chapter surveys trends in robotics with pattern recognition that focuses more on the interaction between robot assistive device and human with signal pattern recognition. This interaction helps to enhance the capability of people in rehabilitation and in the field of medicine. Finally, this chapter includes the application of pattern recognition in the development of a prosthetic hand.
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Pattern Recogniton In Robots

The problem of pattern recognition involves decision making in most of the robotics applications. The process of preprocessing in pattern recognition of signal/image processing is required to remove noise and redundant data. In the decision making approach, the process consists of data segmentation, feature extraction and feature selection/reduction as shown in Figure 1.

Figure 1.

Illustration of pattern recognition based robot system


After preprocessing of data, it is necessary to extract the features that will potentially help in decision making. Features contain information and the extraction of relevant features for decision making application depends upon the patterns and the number of decisions under consideration. Several approaches are available for extraction of features, selection of features and classification in different robotic applications.

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