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Effective Teaching and Learning of Homogenous Transformation Matrix using RoboAnalyzer Software

Publication Type : Conference Proceedings

Publisher : Advances in Robotics (AIR2019): 4th International Conference of the Robotics Society

Source : Advances in Robotics (AIR2019): 4th International Conference of the Robotics Society. IIT Madras, Chennai, 2019

Campus : Bengaluru

School : School of Engineering

Department : Mechanical

Year : 2019

Abstract : Robotics has become one of the important interdisciplinary course in engineering education. To describe the position and orientation of a robot, or any part of a robot, several methods are available. One of the commonly used methods is Homogenous Transformation Matrix (HTM), which consists of a Rotation matrix to represent the orientation and a Position vector to represent the position. The HTMs are extensively used in the forward and inverse kinematic formulations of the robots. However, teaching and learning of the concepts related to HTMs remain a challenge using conventional teaching tools. In this paper, a new module developed in RoboAnalyzer software is reported. It has an easy to use interface to visualize the position and orientation of one Coordinate frame with respect to another in a 3D environment. Also, various other useful features are present which help in effective understanding of the HTMs.

Cite this Research Publication : S. Maram, Kuruganti, Y., Rajeevlochana G. Chittawadigi, and Saha, S., “Effective Teaching and Learning of Homogenous Transformation Matrix using RoboAnalyzer Software”, Advances in Robotics (AIR2019): 4th International Conference of the Robotics Society. IIT Madras, Chennai, 2019

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