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Learning from demonstration algorithm for cloth folding manipulator

Publication Type : Conference Proceedings

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics,

Source : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Volume 2017-January, p.1339-1398 (2017)

Url : https://ieeexplore.ieee.org/abstract/document/8126035

Keywords : Amrita Dual Anthropomorphic Manipulator, Anthropomorphic arm, Cloth folding, cloth folding manipulator, control engineering computing, DC motors, diverse robot training, Education, End effectors, household activity, learning (artificial intelligence), Learning from demonstration, learning from demonstration algorithm, manipulator, manipulators, robot kinematics, Robot programming, Service robots, Shape, teaching pendant

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2017

Abstract : The aging population and high labor cost have accelerated the need for service robots for household activities. The household activity being diverse robot training over dynamic environments is required. Our work aims in developing an algorithm for teaching a manipulator to perform a task. Teaching pendant simplifies the process of teaching for the end user and also trains manipulator to a user specific problem. In this work, we present an approach to teaching a manipulator using Learning from Demonstration technique. Folding a cloth is taken as activity to teach the robot. Amrita Dual Anthropomorphic Manipulator (ADAM) is used to test the proposed algorithm.

Cite this Research Publication : B. Sannapaneni, Shaswat, M., and Nippun Kumaar A A, “Learning from demonstration algorithm for cloth folding manipulator”, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), vol. 2017-January. pp. 1339-1398, 2017.

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