Abstract
Robotic hand systems fall under the areas of artificial intelligence (AI) and machine learning (ML), and are an important field nowadays. Today’s technology shows a great interest in robotic systems, evident in the number of studies being conducted in this area. There are numerous studies in various fields on robotic systems, with the aim to facilitate human life. In this work, a robot hand was designed that is capable of replicating finger movements by relying on flexible sensors attached to a wearable glove. The sensor is able to measure finger angle with high accuracy, albeit inexpensively. Thanks to the manual robotic prototype created in this study using different materials and mechanisms, it can be adopted in areas that are unsafe for human health. Through the gloves, the angle data on the sensors and servo motor position information are transmitted to the robotic handheld system through a digital AI software. Determinations related to the robot hand control are carried out with an Arduino card. Five servo motors, one for each finger, constrain the mechanical hand. These servo engines can be moved if necessary. The Main Control Unit (MCU) is attached to these servo engines. Arduino is used in its MCU. We used the IF statement algorithm to allow the robotic hand’s fingers to move smoothly in a variety of angles, despite the device’s resistance, and at a low cost, so that it could be made available to anyone.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gosselin, C., Pelletier, F., Laliberte, T.: An anthropomorphic underactuated robotic hand with 15 dofs and a single actuator. In: IEEE International Conference on, pp. 749–754. IEEE (2008)
Lotti, F., Vassura, G.: A novel approach to mechanical design of articulated fingers for robotic hands. In: IEEE/RSJ International Conference on, vol. 2, pp. 1687–1692. IEEE (2002)
O’toole, K.T., McGrath, M.M.: Mechanical design and theoretical analysis of a four fingered prosthetic hand incorporating embedded SMA bundle actuators. Eng. Technol. (2007)
Raghavan, A., Joseph, S.: EMG analysis and control of artificial arm. Int. J. Cybern. Inf. (IJCI) 5(2) (2016)
Wang, J., Tang, L., Bronlund, J.E.: Surface EMG signal amplification and filtering. Int. J. Comput. Appl. (2013)
Yang, D., et al.: An anthropomorphic robot hand developed based on underactuated mechanism and controlled by EMG signals. J. Bionic Eng. (2009)
Meenatchi Sundaram, N., Shiva Rama Krishnan, R., Suraj Kamal, T.K., Rajeswari, J.: Robotic vehicle movement and arm control through hand gestures using Arduino. Int. Res. J. Eng. Technol. (IRJET) 05(04) (2018)
Quigley, M., Salisbury, C., Ng, A.Y., Kenneth Salisbury, J.: Mechatronic design of an integrated robotic hand. Int. J. Rob. Res. 33(5), 706–720 (2014)
Devaraja, R.R., Maskeliú, R., Damaševičius, R.: Design and evaluation of anthropomorphic robotic hand for object grasping and shape recognition. MDPI an Open Access Journal (2021)
Ramaiah, P.S., Venkateswara Rao, M., Satyanarayana, G.V.: A microcontroller based four fingered robotic hand. Int. J. Artif. Intell. Appl. (IJAIA) 2(2) (2011)
Bonini, N., Iyer, N., Kim, D., Mathison, K., Wellons, L.: Robotic hand in motion using arduino controlled servos. New Jersey Governor’s School of Engineering and Technology (2014)
Louis, L.: Working principle of arduino and using it as a tool for study and research. Int. J. Control Autom. Commun. Syst. (IJCACS) 1(2) (2016)
Noor, S., Shohan, J.A., Waresi, M.S.: Real time hand movement controlled robotic arm for risk prevention. In: IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh, 21–23 December 2017
Yanagido, G.: Humanoid robot hand and its applied research. J. Rob. Mech. 31(1) (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alwan, A.A., Nayyef, Z.T., Fadose, M.S. (2022). Robotic Hand Movement Using If-Statement Technology. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-82616-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-82615-4
Online ISBN: 978-3-030-82616-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)