In this paper we aim at developing a system where in one can train robots to perform a task by performing the task once, manually. Such a system would reflect on the human methods of teaching wherein a person teaches a child how to perform a particular task by showing them how it is done by actually performing it once himself. As a child observes the teacher's methods and actions and tries to replicate the same when he tries it himself, our system will instill this characteristic into our robot as well. For the purpose of demonstration of such a system, we proposed to develop an algorithm via which the robot will record the actions when performed by the user during the 'learning phase' which is nothing but when the user is performing the action for the robot for the first time. We will devise a mechanism via which these actions can be stored, modified and replayed. Also, acceleration, and slow motion replays will also be included. We will create the prototype of a vehicular robot to demonstrate the system. The user will train the robot to run on certain paths by manually driving it once, after which the robot will learn and perform the tasks itself.

1. Sander Adam, Lucian Bus¸ oniu, and Robert Babu ska, "Experience Replay for Real-Time Reinforcement Learning Control", ieee transactions on systems, man, and cybernetics, march 2014.
2. Shih Huan Tseng1, Ju-Hsuan Hua2, Shao-Po Ma3 and Li-ehen Fu4, "Human Action Replication based Robot Performance Learning in a Social Environment" 2013 IEEE International Conference on Robotics and Automation (ICRA) Karlsruhe, Germany, May 6-10, 2013.
3. D. Katagami, S. Yamada, "Active Teaching for an Interactive Learning Robot", Proceedings of IEEE international Workshop on Robot and Human Interactive Communication Millbrae. California. USA. Oct. 31 -Nov. 2, 2012.
4. JamilAbouSaleh, FakhreddineKarray, and Michael Morckos, "A Qualitative Evaluation Criterion for Human-Robot Interaction System in Achieving Collective Tasks", WCCI 2012 IEEE World Congress on Computational Intelligence June, 10-15, 2012 - Brisbane, Australia.
5. Puran Singh*, Anil Kumar, Mahesh Vashisth, "Design of a Robotic Arm with Gripper & End Effector for Spot Welding", Universal Journal of Mechanical Engineering , 2013.
6. Maya C. et al. , "Human Preference for Robot-Human Hand-over Configurations", IEEE/RSJ International Conference on Intelligent Robots and Systems, 201l.
7. Jamil Abou Saleh, Fakhreddine Karray University of Waterloo "Towards Generalized Performance Metrics for Human-Robot Interaction" conference proceedings, 2008.
8. Wolfram Burgard, Armin B. Cremers, Dieter Fox, Dirk Hahnel, Gerhard Lakemeyer, Dirk Schulz, Walter Steiner, and Sebastian "The Interactive Museum Tour-Guide Robot" Thrun Computer Science Department III University of Bonn Aachen University,Germany.

Robotic Arm Hand-held Controller Code Vision Avr For Embedded – C Programming keil Uvision-4.