Raktim Pratihar1
, Debmalya Sadhukhan2
, Roberto Bhowmick3
, Anuron Mullik4
, Bansari Deb Majumder5
Section:Research Paper, Product Type: Journal Paper
Volume-08 ,
Issue-01 , Page no. 5-9, Feb-2020
Online published on Feb 28, 2020
Copyright © Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder, “Implementation of PID control Based Hybrid Model for Gesture Controlled Robotic Arm,” International Journal of Computer Sciences and Engineering, Vol.08, Issue.01, pp.5-9, 2020.
MLA Style Citation: Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder "Implementation of PID control Based Hybrid Model for Gesture Controlled Robotic Arm." International Journal of Computer Sciences and Engineering 08.01 (2020): 5-9.
APA Style Citation: Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder, (2020). Implementation of PID control Based Hybrid Model for Gesture Controlled Robotic Arm. International Journal of Computer Sciences and Engineering, 08(01), 5-9.
BibTex Style Citation:
@article{Pratihar_2020,
author = {Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder},
title = {Implementation of PID control Based Hybrid Model for Gesture Controlled Robotic Arm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2020},
volume = {08},
Issue = {01},
month = {2},
year = {2020},
issn = {2347-2693},
pages = {5-9},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1390},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1390
TI - Implementation of PID control Based Hybrid Model for Gesture Controlled Robotic Arm
T2 - International Journal of Computer Sciences and Engineering
AU - Raktim Pratihar, Debmalya Sadhukhan, Roberto Bhowmick, Anuron Mullik, Bansari Deb Majumder
PY - 2020
DA - 2020/02/28
PB - IJCSE, Indore, INDIA
SP - 5-9
IS - 01
VL - 08
SN - 2347-2693
ER -
Human beings have been developing and designing since the stone age. They have worked for the betterment of society ever since. However, it is always not possible for them to attend a situation at a given time in person. Hence, the solution we came up with is a gesture-controlled robotic arm where we are controlling the device from a distant location. The project comprises mainly of two parts, viz, the sending and receiving part. In the sending part, we are using an MPU6050 3-axis gyroscope plus a 3-axis accelerometer sensor compiled with an Arduino nano micro-controller and an IR transmitter based bend sensor is used. Similarly, for transferring information, we are using an RF module. In another part. The thing that is happening in the robotic arm moves up, down, left, or right along with gripping according to the hand movement made by the user. Following the direction of the movement, the gripping process is brought about. The applications of this project can be found in the fields of biomedical, defense, industrial, and many others. Like in the medical field, during times of surgery, the doctors can carry out the operation even in his absence at that particular location. Also, in the field of defense, our robotic arm can be of great importance, like diffusing a bomb without the intervention of humans. Thus, in this era of science and technology, where the world says nothing is impossible, few factors provide limitations to this. So, by using this project, we tried to give a hand to reduce the problems of society.
Gesture, robotic arm, RF transmitter, receiver, Arduino nano
[1] Amithash E. Prasad, Murtuza Tambawala, “Human ControlledRemote Robotic Arm”(HCRRA).
[2] Norberto Pires, Pedro Neto, J, and A. Paulo Moreira, “Accelerometer- Based Control of an Industrial Robotic Arm,” published at IEEE Xplore
[3] Satyajit Sinari, Sunil Karamchandani, Amrita Aurora, Dharmesh Ruparel, “The Gesture Replicating Robotic Arm” at International Symposium on Computational and Business Development
[4] Rudiger Dillmann, “Teaching and learning of robot tasks via observation of human performance,” in Elsevier, Robotics and Autonomous Systems, vol. 47, no. 2-3, pp. 109-116, 2004.
[5] A. Skoglund, J. Aleotti, and T. Duckett, “Position teaching of a robot arm by demonstration with a wearable input device,” in InternationalConference on Intelligent Manipulation and Grasping (IMG04), Genoa, Italy, July 1- 2, 2004.
