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A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods

P. Joshi1 , S. Gupta2

Section:Technical Paper, Product Type: Isroset-Journal
Vol.4 , Issue.2 , pp.10-14, Apr-2016


Online published on Apr 27, 2016


Copyright © P. Joshi, S. Gupta . 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: P. Joshi, S. Gupta, “A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods,” International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.2, pp.10-14, 2016.

MLA Style Citation: P. Joshi, S. Gupta "A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods." International Journal of Scientific Research in Computer Science and Engineering 4.2 (2016): 10-14.

APA Style Citation: P. Joshi, S. Gupta, (2016). A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods. International Journal of Scientific Research in Computer Science and Engineering, 4(2), 10-14.

BibTex Style Citation:
@article{Joshi_2016,
author = {P. Joshi, S. Gupta},
title = {A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {2},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {10-14},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=251},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=251
TI - A Innovative Approch for Robotic Hand for Object Tracking and Grasping Methods
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - P. Joshi, S. Gupta
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 10-14
IS - 2
VL - 4
SN - 2347-2693
ER -

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Abstract :
From the last two decades making robotic hand with enhanced capabilities is the main object and lots of work has been done in this field. This paper focuses on different methods which are used for robotic hand systems. Diversification is stated in areas of the grasping techniques, fingers, the degrees of freedom and quality of hand. The Degrees Of Freedom (DOF) terms describes the flexibility of grasp. The controlling mechanism is either sensor based or gesture controlled or simulation based or pre-programmed states. From the evolution with clamp type industrial hand, now the five finger and with more functionality and flexible artificial hand are available. They different in the manner of their design and techniques to operation and interaction with the object, day by day the research in this field is trying hard to make more functional and advancement in the artificial hand, here we are trying to find out the previous methods to track and grasp the object by different type of robotic hand.

Key-Words / Index Term :
Robotic hand, Robotic arm, DOF, Gesture Control

References :
[1] J. Rosell, R. Suárez, C. Rosales, A. Pérez, “Autonomous motion planning of a hand-arm robotic system based on captured human-like hand postures”, Autonomous Robots, Vol.3, Issue.1, pp.87-102, 2011.
[2] LJ. Raheja, R. Shyam, U. Kumar, PB. Prasad, “Real-time robotic hand control using hand gestures”, International Conference on Machine Learning and Computing (ICMLC), Chin, pp.12-16, 2010.
[3] M. Khairu, AB. Ahmad, “Multifingered robot hand robot operates using teleoperation”, Doctoral dissertation from Universiti Tun Hussein Onn Malaysia, Malaysia, pp.1-165, 2011 .
[4] J. ITK, “Multi-fingered Robot Hands Handroid”, itk-pro.com, Japan , pp.23-67, 2012
[5] CVV. Ramaswamy, SA. Deborah, "A Survey of Robotic Hand- Arm Systems", International Journal of Computer Applications, Vol.109, No.8, pp.26-31,2015
[6] BA. Kent, J. Lavery, ED. Engeberg, “Anthropomorphic control of a dexterous artificial hand via task dependent temporally synchronized synergies”, Journal of Bionic Engineering, Vol.11, Issue.2, pp.236-48, 2014.
[7] A. Purkayastha, AD. Prasad, A. Bora, A. Gupta, P Singh, “Hand gestures controlled robotic arm”, Journal of International Academic Research For Multidisciplinary, Vol.2, Issue.4, pp.234-240, 2014.
[8] Craig Cormick, "The Shadow Master",Duncan Baird Publishers, London, pp,1-416, 2014.
[9] D. Tarnita, DB. Marghitu, “Analysis of a hand arm system”, Robotics and Computer-Integrated Manufacturing, Vol.29, Issue.6, pp.493-501, 2013.
[10] PK. Allen, A. Timcenko, B. Yoshimi, P. Michelman, “Automated tracking and grasping of a moving object with a robotic hand-eye system”, IEEE Transactions on Robotics and Automation, Vol.9, Issue.2, pp.152-165, 1993.

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