Publication Type : Conference Proceedings
Publisher : IEEE
Source : International Conference on Emerging Trends in Engineering and Technology – ICETET, IEEE, Le Meridien Mauritius, p.206-209 (2011)
Url : https://link.springer.com/referenceworkentry/10.1007/978-3-540-30301-5_60
ISBN : 978-1-4577-1847-2
Accession Number : 12527675
Keywords : Hide Markov Model Reinforcement Learning Augmented Reality Gaussian Mixture Model Humanoid Robot
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2011
Abstract : Programming by demonstration is an End-user development technique for teaching a computer or a robot new behavior by demonstrating the task to transfer directly instead of programming it through machine commands. In this paper we propose two new techniques to obtain the control code for a mobile robot through "programming by demonstration". Initially, a robot is controlled by a human operator who manually guides the robot through a desired path this is called teaching phase, and then the robot will navigate autonomously with taught information this is called execution phase. In contrast to traditional robot programming techniques, these methods does not require specialized technical or programming skills, but translates demonstrated behavior immediately into executable code. This has obvious implications for the widespread use of personal service robots.
Cite this Research Publication : Nippun Kumaar A A and Sudarshan, T. S. B., “Mobile Robot Programming By Demonstration”, in International Conference on Emerging Trends in Engineering and Technology – ICETET, Le Meridien Mauritius, 2011, pp. 206-209.