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Autonomous Robotic Arm With Enhanced Intelligence

Publication Type : Journal Article

Publisher : International Journal of Advanced Computational Engineering and Networking

Source : International Journal of Advanced Computational Engineering and Networking, IRAJ, Volume 2, Number 9, p.12–17 (2014)

Url : http://iraj.in/up_proc/pdf/85-140361164353-58.pdf

Keywords : Pulse width modulation, Servo Gripper, Servomotor, User Interface

Campus : Bengaluru

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

Department : Computer Science

Year : 2014

Abstract : In robotics for accomplishing simple and complex tasks, manipulation is a very important aspect. For maximizing the robustness and minimizing the cost there is no ideal solution for manipulation. Service robot systems have long been a goal of robotics research. This proposed work deals with the design and development of an autonomous robotic arm with enhanced intelligence. Amrita Articulated Robotic Manipulator, AARM-II is designed and fabricated, and is used for the realization of the proposed algorithm. Servomotors are used as actuators. A computer through a serial port interface using Flash Magic terminal controls the arm. The arm will be capable of picking and placing the objects in the sequence given by the user through PC terminal; if the arm is ideal it enters into random pick and place mode. Object’s source and destination order is entered in the user interface application. The trajectory planning is done with the help of Inverse Kinematics (IK). Geometric approach is followed to obtain inverse kinematic solutions. The work also aims at addressing the user interrupts instantly while the robot is in random pick and place mode and arrange the object in the sequence provided by the user in an efficient manner. The Microcontroller used is ARM7 based Blueboard LPC2148.

Cite this Research Publication : S. Sanju, Nippun Kumaar A A, and Sudarshan, T. S. B., “Autonomous Robotic Arm With Enhanced Intelligence”, International Journal of Advanced Computational Engineering and Networking, vol. 2, pp. 12–17, 2014.

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