Artificial Intelligent Systems and Machine Learning

P. Sengottuvelan ¹, G. M. Tamilselvan ¹, A. Shanmugam ¹

Affiliations
1 Bannari Amman Institute of Technology, Sathyamangalam, IN

Abstract

This paper introduces methods to recognize the objects in a football field, by the aid of vision. Robot football is a challenging task in the world of autonomous robots and related research areas. One of the main problems in this task is to determine the presence and the location of objects from the robot’s point of view. Our mobile robot needs to know where it is located, where the ball target object is and the distance between the robot and the ball. A webcam is mounted on the robot that captures the surrounding of the robot. The objects in the image are the light gray floor and a red ball. The image is then processed to identify the presence of a red ball. Based on the position of the ball the control commands are given to the robot. The direction in which the ball is present is found by calculating the angle between the robot and the ball. The robot then moves towards the ball and kicks it.

Keywords

Robots, Computer Vision, Color Variation, Object Identification, Camera Calibration, Analysis of Robot Performance.

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P. Sengottuvelan ¹, R. K. Pongiannan ², A. Shanmugam ³

Affiliations
1 Dept. of IT, Bannari Amman Institute of Technology, Sathyamangalam, IN
2 Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, IN
3 Bannari Amman Institute of Technology, Sathyamangalam, IN

Abstract

This paper focuses on Humanoid robots (androids), are becoming increasingly useful for two reasons: (a) they can perform in environments that have been engineered specifically for humans, and (b) they make it easier for humans to interact with computers. The core of this effort is to simulate humanoid robots, and in particular how to program their movements according to the musical audio as easily and as effectively as possible. Our technique mainly focus on extracting the features such as pitch, frequency values from the musical beats by analyzing a musical audio and synthesizing a motion for the virtual character where the character's movement synchronizes to the musical beats. Our method consists of a motion analysis, a music analysis, and a motion synthesis based on the extracted features. The beat feature can be possibly used in systems for understanding higher level properties of the song.

Keywords

Androids, Interact, Humanoid Robots, Movements, Musical Audio, Motion, Virtual Character, Synchronize, Beats, Pitch, Frequency, Extraction.

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