Tactile Sensor for Manipulation of Deformable Object


  • Muhammad. A.Ayub
  • Rabiatul. A.Jaafar
  • Amir Abdul Latif
  • . .






Deformable object, Material handling, Normal force, Tactile sensor


The variable physical property of deformable objects, which are very flexible, soft and viscoelastic, causes the design of reliable automated handling system relatively difficult. In fact, most of these objects tend to be handled manually during the handling process. Therefore, a new optical tactile sensor for an intelligent handling of the non-rigid materials is presented in this paper. Mathematical modelling and control algorithm are developed and the tactile sensor is calibrated in this research. Based on the results that have been recorded, the surface characterization with the respect to normal force applied to the object is attained. A gripper handling system is used to accommodate variable physical properties of the deformable materials, which are very flexible, soft and viscoelastic. In addition to that, the gripper needs to handle the materials with the minimum deformation so that less distortion, and higher accuracy of manipulation can be achieved. Efficient and accurate modelling of deformations is crucial for grasping analysis.





[1] K. Tai, A.-R. El-Sayed, M. Shahriari, M. Biglarbegian, and S. Mahmud, “State of the Art Robotic Grippers and Applications,†Robotics, vol. 5, no. 2, p. 11, Jun. 2016.

[2] Why Should Malaysia Focus on Industry 4.0? (2017, Sept) Retrieved from http://iskandarMalaysia.com.my/wp-content/uploads/2017/10/IM-BizWatch-September-2017.pdf

[3] The Benefits of Using Robotic Gripper system (2016, Oct) Retrieved from https://manufacturingstories.com/the-benefits-of-using-robotic-gripper-systems/

[4] Senthilraja, R Gangadevi, M Thirugnanam, “Design and fabrication of three axis robot for material handling in chemical industries,†Journal of Chemical and Pharmaceutical Sciences, Volume 9 Issue 4, Oct - Dec 2016

[5] Su, Zhe & Hausman, Karol & Chebotar, Yevgen & Molchanov, Artem & Loeb, Gerald & Sukhatme, Gaurav & Schaal, Stefan. (2015). Force Estimation and Slip Detection for Grip Control using a Biomimetic Tactile Sensor. 10.1109/HUMANOIDS.2015.7363558.

[6] Nobuaki Nakazawa, Il-hwan Kim, Hikaru Inooka, Ryojun Ikeura, Force control of a robot gripper based on human grasping schemes, Control Engineering Practice, Volume 9, Issue 7, 2001, Pages 735-742, ISSN 0967-0661

[7] Westling, G., & Johansson, R. S. (1984). Factors influencing the force control during precision grip. Experimental Brain Research, 53, 277–284.

[8] Kim, I., Shiire, H., & Inooka, H. (1993). Experimental study on grasp force control characteristics of a human. The Japanese Journal of Ergonomics, 29(2), 95–102.

[9] Nakazawa, N., Ikeura, R., & Inooka, H. (1996). Experimental study on placing motion of a human. The Japanese Journal of Ergonomics, 32(5), 223–229.

[10] Sarhadi, M. A novel manpulator for automated handling of flexible materials. In Proceedings of the 2nd Duisburger Kolloquium Automation and Robotik, Duisberg, Geramny, 15–17 July 1987

[11] Schulz, G. Grippers for flexible textiles. In Proceedings of the 5th International Conference on Advanced Robotics, Pisa, Italy, 20–22 June 1991.

[12] Sarhadi, M. Robotic handling and lay-up advanced composite materials: An overview. In Sensory Robotics for the Handling of Limp Materials; Springer-Verlag: New York, NY, USA, 1990; pp. 33–50.

[13] Kolluru, R.; Valavanis, K.P.; Steward, A.; Sonnier, M.J. A Flat-Surface Robotic Gripper for Handling Limp Material. IEEE Robot. Autom. Mag. 1995, 2, 19–26.

[14] Monkman, G.J.; Shimmin, C. Robot grippers using Permatack adhesives. Assem. Autom. 1991, 11, 17–19.

[15] Rateni; Cianchetti, M.; Ciuti, G.; Menciassi, A.; Laschi, C. Design and Development of a soft robotic gripper for manipulation in minimally invasive surgery: A proof of concept. Meccanica 2015, 50, 2855–2863.

[16] Vonck, D.; Jakimowicz, J.J.; Lopuhaä, H.P.; Goossens, R.H. Grasping soft tissue by means of vacuum technique. Med. Eng. Phys. 2012, 34, 1088–1094.

[17] Ryan A. Beasley, “Medical Robots: Current Systems and Research Directions,†Journal of Robotics, vol. 2012, Article ID 401613, 14 pages, 2012. doi:10.1155/2012/401613

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How to Cite

A.Ayub, M., A.Jaafar, R., Abdul Latif, A., & ., . (2018). Tactile Sensor for Manipulation of Deformable Object. International Journal of Engineering & Technology, 7(4.27), 101–105. https://doi.org/10.14419/ijet.v7i4.27.22492
Received 2018-11-30
Accepted 2018-11-30
Published 2018-11-30