Modeling and simulation of robotic hand pressure sensor in Simscape

Authors

  • Jurgen Metalla
  • Gentian Dume
  • Fatmir Basholli
  • Eduart Ndokaj

Keywords:

Simulation, Modeling, Pressure sensor, Arduino

Abstract

The main advantage of humanoid robots over other devices is that they are more flexible and can be used for many purposes. In this project, a human-like robotic hand is designed and used for a task commonly performed by humans, namely grasping an object. During this study, the main focus will be the use of pressure sensors and the interaction between them to create an approach as close to reality as possible. For the various simulations and sensor testing, the Simscape and Solidworks applications were used, respectively, which enable the connection between the sensor and mechanical part of the robotic hand. An Arduino was used to build the algorithms, implement these instructions and control the sensors.

References

Haghshenas-Jaryani, M., Patterson, R. M., Bugnariu, N., & Wijesundara, M. B. (2020). A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation. Journal of Hand Therapy, 33(2), 198-208.

Giovanelli, D., & Farella, E. (2016). Force sensing resistor and evaluation of technology for wearable body pressure sensing. Journal of Sensors, 2016, 9391850. https://doi.org/10.1155/2016/9391850

Sadun, A. S., Jalani, J., & Sukor, J. A. (2016, July). Force Sensing Resistor (FSR): a brief overview and the low-cost sensor for active compliance control. In First international workshop on pattern recognition (Vol. 10011, pp. 222-226). SPIE.

Pajaziti, A., Basholli, F., & Zhaveli, Y. (2023). Identification and classification of fruits through robotic system by using artificial intelligence. Engineering Applications, 2(2), 154-163.

Alnajjar, F., Umari, H., Ahmed, W. K., Gochoo, M., Vogan, A. A., Aljumaily, A., ... & Shimoda, S. (2021). CHAD: Compact Hand-Assistive Device for enhancement of function in hand impairments. Robotics and Autonomous Systems, 142, 103784.

Saleh, M. A., Soliman, M., Mousa, M. A., Elsamanty, M., & Radwan, A. G. (2020). Design and implementation of variable inclined air pillow soft pneumatic actuator suitable for bioimpedance applications. Sensors and Actuators A: Physical, 314, 112272.

Gerez, L., & Liarokapis, M. (2019, July). An underactuated, tendon-driven, wearable exo-glove with a four-output differential mechanism. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6224-6228). IEEE.

Metalla, J. & Dume, G. (2012). Speed regulation in "DC motors" through LabVIEW 2012 software - Bachelor's Degree, Albanian University

Truby, R. L., Katzschmann, R. K., Lewis, J. A., & Rus, D. (2019, April). Soft robotic fingers with embedded ionogel sensors and discrete actuation modes for somatosensitive manipulation. In 2019 2nd IEEE international conference on soft robotics (RoboSoft) (pp. 322-329). IEEE.

Song, K., Kim, S. H., Jin, S., Kim, S., Lee, S., Kim, J. S., ... & Cha, Y. (2019). Pneumatic actuator and flexible piezoelectric sensor for soft virtual reality glove system. Scientific reports, 9(1), 8988.

Navarro, S. E., Nagels, S., Alagi, H., Faller, L. M., Goury, O., Morales-Bieze, T., ... & Duriez, C. (2020). A model-based sensor fusion approach for force and shape estimation in soft robotics. IEEE Robotics and Automation Letters, 5(4), 5621-5628.

Simscape - MATLAB & Simulink - MathWorks, https://www.mathworks.com/

Downloads

Published

2023-07-30