Modern Robotic Hand Using Robust Technology
Abstract
Today's technology has amplified the interest in robotic systems and boosts the number of studies realized in this area. There are many studies on robotic systems in several fields to make easy human life in the literature. In this study, a robot hand is intended to repeat finger movements depending upon flexible sensors mounted on any wearable glove. In the literature, various sensors that detect the finger movement are used. The sensor that detects the angle of the fingers has been shown to give high accuracy although cheap in present research. Moreover, by entering the sensor data into the open source interface programing, it can be seen on the program how the hand of the robot moves. Thanks to the example of robotic hand in this study is developed with different materials and mechanisms, it is possible to carry out experimental studies at low cost in places where it is inappropriate for human health and safety. The determinations related to robot hand control are performed with Arduino card.
How to cite this article:
Rathor B, Singh M, Goyal S et al. Modern Robotic
Hand using Robust Technology. J Adv Res
Auto Tech Transp Sys 2020; 4(1): 1-5.
References
[2] [2] Jacobsen, S.C., Wood, J.E., Knutti D. and Biggers K.B., Dextrous hand: Work in progress, Int J Robot Res., 321–350, 1984.
[3] Akash Kumar, Ankita Sharma , Poonam Gavade , P.H. Kulkarni, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering.
[4] V. Agrawal, B. Rathor, M. Bhadu and S. K. Bishnoi, "Discrete Time mode PSS Controller Techniques to Improve Stability of AC Microgrid," 2018 8th IEEE India International Conference on Power Electronics (IICPE), JAIPUR, India, 2018, pp. 1-5.
[5] Süleyman Bilgina, Yavuz Üserb and Muhammet Mercanc, International Journal of Engineering & Applied Sciences (IJEAS) Vol.8, Issue 4(2016) 49-58.
[6] Olawale, J., Oludele, A., Ayodele, A., et al., Development of a microcontroller based robotic arm, Proc Compr Sci IT Educ Conf., 2007.
[7] B. Rathor, N. Utreja, M. Bhadu and D. Sharma, "Role of Multi-Band Stabilizers on Grid Connected Microgrid," 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), Ghaziabad, India, 2018, pp. 318-322.
[8] M. Bhadu, B. Rathor and S. K. Bishnoi, "Modern control techniques of AC microgrid," 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN), Gurgaon, 2017, pp. 1-6.
[9] Ciocarlie, M.T., Clanton, S.T., Spalding, M.C., Allen, P.K., Biomimetic grasp planning for Cortical control of a robotic hand, Intelligent Robots and Systems IEEE/RSJ International Conference, 2271–2276, 2008.
[10] Omer Korkmaz, Mustafa Cem Kasapbasi, Robot Hand Making Copying Finger Motion, XVIII. Academic Informatic Conference
,Turkey, AB 2016.
[11] R. Slyper and J. Hodgins, “Action Capture with Accel-erometers,” Euro Graphics/A CMSIG GRAPHS Sympo- sium on Computer Animation, 2008.
[12] Foxl and L. Naimark, “Vis-Tracker: A Wearable Vi-sion-Inertial Self- Tracker,” IEEE Virtual Reality Confer-ence, 22-26 March 2003, Los Angeles.
[13] J. Kumar, B. Rathor and P. Bahrani, "Fuzzy and P&O MPPT Techniques for Stabilized the Efficiency of Solar PV System," 2018 International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, Uttar Pradesh, India, 2018, pp. 259-264.
[14] M. Gross and D. James, “Eurographics/ACM SIGGRAPH Symposium on Computer Animation,” Smart Objects Con- ference SOC ’03, Grenoble, 2003.
[15] L. Bio and S. Intille, “Activity Recognition from User-An- notated Acceleration Data,” Pervasive Computing, Vol. 3001, 2004, pp. 1-17. doi:10.1007/978-3-540-24646-6_1
[16] Fontaine, D. David and Y. Caritu, “Sourceless Human Body Motion Capture,” Smart ObjectsConference (SOC 2003), Grenoble, 2003.
[17] J. Bernstein, H. R. Everett, L. Feng, and D. Wehe, “Mo-bile Robot Positioning Sensors & Techniques,” Journal of Robotic Systems, Special Issue on Mobile Robots, Vol. 14, No. 4, pp. 231-249.
[18] U. D. Meshram and R. Harkare, “FPGA Based Five Axis Robot Arm Controller,” International Journal of Electron- ics Engineering, Vol. 2, No. 1, 2010, pp. 209-211. http://en.wikipedia.org/wiki/80c51