Simulation of Artificial Intelligence based Robotic Arm for Patients with Upper Limb Amputations


  • Rajkumar Chougale, Vinay Mandlik, Asit Kittur, Vikas Patil, Ranjeet Suryawanshi


Artificial intelligence, robotic arm, electromyography, sensors


A myo-electric controlled prosthetic extremity is a prosthetic limb that seems to be controlled but is really controlled by electrical signals that the muscle structure itself automatically delivers. Electromyography is a novel method for recording and analysing electrical activity generated by muscles. Computerized reasoning and machine learning are particularly impressive in the mechanical and biological sciences. The purpose of this work is to apply artificial intelligence to predict and comprehend prosthetic hand movements using muscle training data. This idea already exists in the mechanical world, but it is prohibitively expensive and unavailable to non-industrialized countries. As a result, the primary goal of our research is to develop the much more precise intelligent bionic hand. In this research, also used MyoWare Muscle Sensor data, a tool that continually analyses information from eight sensors are also employed. Artificial intelligence and the informative index were used to anticipate finger, finger-close, round grip, and satisfactory-squeeze impulses. We It is next applied a few Artificial intellogence computations to the statistics verified with the 8-terminal superficial Electromyography MyoWare Strength Detector, including K-closest Neighbor (KNN), Support Vector Machine (SVM), and a mixture of SVM and KNN. In this research it is further characterised the four demonstrations of our prosthetic hand with a unceasing test accuracy of 98.33 percent by merging SVM and KNN. This report also includes a 3D visualisation of the robotic finger and its control strategy using Autodesk 3D's Max software design, an EMG MyoWare Muscle Sensor, Artificial intelligence.


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George, J. A., Davis, T. S., Brinton, M. R., & Clark, G. A. (2020). Intuitive neuromyoelectric control of a dexterous bionic arm using a modified Kalman filter. Journal of Neuroscience Methods, 330(October 2019), 108462.

Jiang, P. F., Li, X. R., Zong, X. M., Wang, X. B., Chen, Z. K., Liu, C. Z., Gao, N. K., & Zhang, Z. H. (2022). Microstructure and mechanical properties of Ti basic bionic gradient heterogeneous alloy prepared by multi-wire arc additive manufacturing. Journal of Alloys and Compounds, 926.

Li, H., Liu, R., Wang, Y., Liu, Y., Chen, Y., Wang, J., & Gu, J. (2022). A TD-Learning Based Bionic Cerebellar Model Controller For Humanoid Robots. Procedia Computer Science, 209, 132–139.

Li, K., Xu, Z., Liu, X., He, Y., Tian, X., Xu, X., Bo, G., Yuan, S., Xu, L., Yang, M., Yan, J., Zhang, H., & Yan, Y. (2023). Mussel foot inspired bionic adhesive material enhanced by a reconstructed in vitro system for interfacial adhesion. Chemical Engineering Journal, 452(September 2022).

Liao, X., Wang, W., Wang, L., Jin, H., Shu, L., Xu, X., & Zheng, Y. (2021). A highly stretchable and deformation-insensitive bionic electronic exteroceptive neural sensor for human-machine interfaces. Nano Energy, 80(August 2020), 105548.

Liu, D., Sun, D., Zhou, J., Liu, H., Guo, R., Wang, B., Ma, W., Yang, Z., & Lu, Y. (2023). Bionic morphological design and interface-free fabrication of halfmoon microrobots with enhanced motion performance. Chemical Engineering Journal, 452(P3), 139464.

Luo, X., Dong, X., Zhao, H., Hu, T. S., Lan, X., Ding, L., Li, J., Ni, H., Contreras, J. A., Zeng, H., & Xu, Q. (2022). Near-infrared responsive gecko-inspired flexible arm gripper. Materials Today Physics, 29(November), 100919.

Miao, Y., Xu, M., Yu, J., & Zhang, L. (2021). Conductive cold-resistant and elastic hydrogel: A potential bionic skin for human-machine interaction control over artificial limbs. Sensors and Actuators, B: Chemical, 327(August 2020), 128916.

Müller, D., & Sawodny, O. (2022). Modeling the Soft Bellows of the Bionic Soft Arm. IFAC-PapersOnLine, 55(20), 229–234.

Ortiz-Catalan, M., Mastinu, E., Greenspon, C. M., & Bensmaia, S. J. (2020). Chronic Use of a Sensitized Bionic Hand Does Not Remap the Sense of Touch. Cell Reports, 33(12), 108539.

Sherwood, J., Castellanos, L., Sands, M., Balliro, C., Hillard, M., Gaston, S., Marchetti, P., Bartholomew, R., Greux, E., Uluer, A., Sawicki, G., Neuringer, I., El-Khatib, F., Damiano, E., Russell, S., & Putman, M. (2022). 9 Automated insulin delivery with the iLet bionic pancreas for the management of cystic fibrosis–related diabetes. Journal of Cystic Fibrosis, 21, S6–S7.

Sun, X., Xu, J., & Qi, Z. (2022). Mechanism properties of a bird-neck bionic rigid-flexible structure. Fundamental Research, xxxx.

Tsegay, M. G., Pathak, P. M., Samantaray, A. K., & Merzouki, R. (2022). Bond graph modeling of a spatial multi-section soft bionic robot. Mechanism and Machine Theory, 174(December 2021), 104902.

Wang, C., Liu, C., Shang, F., Niu, S., Ke, L., Zhang, N., Ma, B., Li, R., Sun, X., & Zhang, S. (2022). Tactile sensing technology in bionic skin: A review. Biosensors and Bioelectronics, 220(December 2021), 114882.

Xu, L., Liu, C., Ma, X., Xu, Y., Zhou, W., Guan, W., Qiang, Q., Lang, T., Peng, L., Zhong, Y., Alexey Nikolaevich, Y., Zhou, Z., & Liu, B. (2023). Two-birds-one-stone: Flexible PANI film with bionic microstructures for multifunctional sensing of physical and chemical stimuli. Chemical Engineering Journal, 451(August 2022), 1–9.

Yan, Z., Yang, H., Zhang, W., Gong, Q., Zhang, Y., & Zhao, L. (2022). Robust nonlinear model predictive control of a bionic underwater robot with external disturbances. Ocean Engineering, 253(December 2021), 111310.

Yang, H., Yan, Z., Zhang, W., Gong, Q., Zhang, Y., & Zhao, L. (2022). Trajectory tracking with external disturbance of bionic underwater robot based on CPG and robust model predictive control. Ocean Engineering, 263(September), 112215.

Ye, T., Ba, K., Yang, X., Xiao, T., Sun, Y., Liu, H., Tang, C., Ge, B., Zhang, P., Duan, T., & Sun, Z. (2023). Valence engineering at the interface of MoS2/Mo2C heterostructure for bionic nitrogen reduction. Chemical Engineering Journal, 452(September 2022).

Zheng, T., Zhao, C., & He, J. (2023). Research on fatigue performance of offshore wind turbine blade with basalt fiber bionic plate. Structures, 47(June 2022), 466–481.

Zhuojun, X., Yantao, T., & Yang, L. (2015). SEMG pattern recognition of muscle force of upper arm for intelligent bionic limb control. Journal of Bionic Engineering, 12(2), 316–323.




How to Cite

Asit Kittur, Vikas Patil, Ranjeet Suryawanshi, R. C. V. M. . (2024). Simulation of Artificial Intelligence based Robotic Arm for Patients with Upper Limb Amputations. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 229–235. Retrieved from



Research Article