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Design and Characterization of a New Soft Fingertip Force Sensor for Precision Robotic Grasping Task
(*) Corresponding author
DOI: https://doi.org/10.15866/ireaco.v14i2.20735
Abstract
Nowadays, a new robotic field has emerged, called Soft Robotics, and it is a new field that involves new challenges, such as soft manipulation, considering external force measure or contact sensors. Thus, in this paper, a new soft fingertip force sensor is introduced. The methodology proposed consists in a quantitative applied research aiming to propose a device able to detect and measure external applied forces. In order to reach the above target, the following steps have been performed: i.) requirements identification, ii) transductor selection, ii) rigid structure design, iii.) soft structure design, iv.) definition of variables parameters for sensor characterization, v.) implementation of the experiments to quantify the relation between external forces and output voltage for different operation conditions, and vi.) proposition of the mathematical model. The mathematical model is defined to describe applied external force and sensor output voltage, demonstrating different mathematical models for two soft materials (polyaddition and polycondensation silicones). It has been found out that using a softer silicone increases the sensor sensitivity. However, the selection of silicone depends on the application requirements. Moreover, the use of soft materials gives a high compliance level with contact objects. On the other hand, a new sensor structure that could be implemented using a 3D print and a FSR traductor, easily implemented by a 3D Printer, has been proposed. Then the mathematical model presented could be used by researchers Moreover, researchers could modify the parameters explained in order to obtain different soft sensor performance. Thus, the soft sensor is endowed with versatility, compliance, and molding.
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References
A. Phinyomark, C. Limsakul y P. Phukpattaranont, Wavelet-based Denoising Algorithm for Robust EMG Pattern Recognition, Fluctuation and Noise Letters, vol. 10, n. 02, pp. 157-167, 06 2011.
https://doi.org/10.1142/s0219477511000466
Costanzo, M., G. De Maria, C. Natale & S. Pirozzi (2019) Design and Calibration of a Force/Tactile Sensor for Dexterous Manipulation. Sensors, 19.
https://doi.org/10.3390/s19040966
Zhang, Y. Z., Z. C. Kan, Y. Yang, Y. A. Tse & M. Y. Wang (2019) Effective Estimation of Contact Force and Torque for Vision-Based Tactile Sensors with Helmholtz-Hodge Decomposition. IEEE Robotics and Automation Letters, 4, 4094-4101.
https://doi.org/10.1109/lra.2019.2930477
Mei, T., W. J. Li, Y. Ge, Y. Chen, L. Ni & M. H. Chan (2000) An integrated MEMS three-dimensional tactile sensor with large force range. Sensors and Actuators a-Physical, 80, 155-162.
https://doi.org/10.1016/s0924-4247(99)00261-7
Chen T., Wang Y., Lo C. and Chen R.,"Friction-Assisted Pulling Force Detection Mechanism for Tactile Sensors, in Journal of Microelectromechanical Systems, vol. 23, no. 2, pp. 471-481, April 2014.
https://doi.org/10.1109/jmems.2013.2280149
Lu Q., He L., Nanayakkara T. and Rojas N., Precise In-Hand Manipulation of Soft Objects using Soft Fingertips with Tactile Sensing and Active Deformation, 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), 2020, pp. 52-57.
https://doi.org/10.1109/robosoft48309.2020.9115997
I. Fujii, T. Inoue, D. V. Dao, S. Sugiyama and S. Hirai, Tactile Perception using Micro Force/Moment Sensor Embedded in Soft Fingertip, Sensors, 2006 IEEE, Daegu, Korea (South), 2006, pp. 558-562.
https://doi.org/10.1109/icsens.2007.355529
S. Azim et al., Soft tactile sensors with variable compliance, 2017 IEEE Sensors, Glasgow, UK, 2017, pp. 1-3.
https://doi.org/10.1109/ICSENS.2017.8234097
T. Kawasetsu, R. Niiyama and Y. Kuniyoshi, Flexible and Soft Inductive Tri-axis Tactile Sensor Using Liquid Metal as Sensing Target, 2019 IEEE Sensors, Montreal, QC, Canada, 2019, pp. 1-4.
https://doi.org/10.1109/sensors43011.2019.8956736
T. Usui, H. Ishizuka, T. Kawasetsu, K. Hosoda, S. Ikeda and O. Oshiro, Soft Tactile Sensor Detecting Air-Water Interface, 2020 IEEE Sensors, Rotterdam, Netherlands, 2020, pp. 1-4.
https://doi.org/10.1109/sensors47125.2020.9278734
Hou T., Yang X., Aiyama Y., Liu K., Wang Z., Wang T., Liang J., Fan Y., Design, and experiment of a universal two-fingered hand with soft fingertips based on jamming effect, Mechanism and Machine Theory, 133, 2019, 706-719, ISSN 0094-114X
https://doi.org/10.1016/j.mechmachtheory.2018.12.013
Qi J., Feng J., Design of robotic soft fingertip for contact sensing, Measurement, 147, 2019, 106812, ISSN 0263-2241.
https://doi.org/10.1016/j.measurement.2019.07.040
Fasoulas J., Sfakiotakis M., Modeling and Control for Object Manipulation by a Two d.o.f. Robotic Hand with Soft Fingertips, IFAC Proceedings Volumes, 45, Issue 22, 2012,259-264, ISSN 1474-6670.
https://doi.org/10.3182/20120905-3-hr-2030.00097
Cheng, N., J. H. Low, B. W. K. Ang, A. J. Y. Goh & C. H. Yeow (2019) Soft Fabric-Based Pneumatic Sensor for Bending Angles and Contact Force Detection. IEEE Sensors Journal, 19, 1269-1279.
https://doi.org/10.1109/jsen.2018.2882796
Takizawa, T., T. Kanno, R. Miyazaki, K. Tadano & K. Kawashima (2018) Grasping force estimation in robotic forceps using a soft pneumatic actuator with a built-in sensor. Sensors and Actuators a-Physical, 271, 124-130.
https://doi.org/10.1016/j.sna.2018.01.007
Mohammadi, A., Y. M. Xu, Y. Tan, P. Choong & D. Oetomo (2019) Magnetic-based Soft Tactile Sensors with Deformable Continuous Force Transfer Medium for Resolving Contact Locations in Robotic Grasping and Manipulation. Sensors, 19.
https://doi.org/10.3390/s19224925
Mirzanejad, H. & M. Agheli (2019) Soft force sensor made of magnetic powder blended with silicone rubber. Sensors and Actuators a-Physical, 293, 108-118.
https://doi.org/10.1016/j.sna.2019.04.021
Dwivedi, A., A. Ramakrishnan, A. Reddy, K. Patel, S. Ozel & C. D. Onal (2018) Design, Modeling, and Validation of a Soft Magnetic 3-D Force Sensor. IEEE Sensors Journal, 18, 3852-3863.
https://doi.org/10.1109/jsen.2018.2814839
Ribeiro, P., M. A. Khan, A. Alfadhel, J. Kosel, F. Franco, S. Cardoso, A. Bernardino, A. Schmitz, J. Santos-Victor & L. Jamone (2017) Bioinspired Ciliary Force Sensor for Robotic Platforms. IEEE Robotics and Automation Letters, 2, 971-976.
https://doi.org/10.1109/lra.2017.2656249
Wang, Y. C., Y. T. Lu, D. Q. Mei & L. F. Zhu (2021) Liquid Metal-Based Wearable Tactile Sensor for Both Temperature and Contact Force Sensing. IEEE Sensors Journal, 21, 1694-1703.
https://doi.org/10.1109/jsen.2020.3015949
Yin, J. Z., P. Aspinall, V. J. Santos & J. D. Posner (2018) Measuring Dynamic Shear Force and Vibration With a Bioinspired Tactile Sensor Skin. IEEE Sensors Journal, 18, 3544-3553.
https://doi.org/10.1109/jsen.2018.2811407
Yin, J. Z., V. J. Santos & J. D. Posner (2017) Bioinspired flexible microfluidic shear force sensor skin. Sensors and Actuators a-Physical, 264, 289-297.
https://doi.org/10.1016/j.sna.2017.08.001
Wong, R. D. P., J. D. Posner & V. J. Santos (2012) Flexible microfluidic normal force sensor skin for tactile feedback. Sensors and Actuators a-Physical, 179, 62-69.
https://doi.org/10.1016/j.sna.2012.03.023
Navarro, S. E., S. Nagels, H. Alagi, L. M. Faller, O. Goury, T. Morales-Bieze, H. Zangl, B. Hein, R. Ramakers, W. Deferme, G. Zheng & C. Duriez (2020) A Model-Based Sensor Fusion Approach for Force and Shape Estimation in Soft Robotics. IEEE Robotics and Automation Letters, 5, 5621-5628.
https://doi.org/10.1109/lra.2020.3008120
Zou, X. Y., T. F. Liang, N. Lopez, M. Ahmed, A. Ajayan & A. D. Mazzeo (2017) Arrayed Force Sensors Made of Paper, Elastomer, and Hydrogel Particles. Micromachines, 8.
https://doi.org/10.3390/mi8120356
Cao, P. J., Y. W. Liu, W. Asghar, C. Hu, F. L. Li, Y. Z. Wu, Y. Y. Li, Z. Yu, S. B. Li, J. Shang, X. C. Liu & R. W. Li (2020) A Stretchable Capacitive Strain Sensor Having Adjustable Elastic Modulus Capability for Wide-Range Force Detection. Advanced Engineering Materials, 22.
https://doi.org/10.1002/adem.202070011
Noh, Y., S. Han, P. Gawenda, W. L. Li, S. Sareh & K. Rhode (2020) A Contact Force Sensor Based on S-Shaped Beams and Optoelectronic Sensors for Flexible Manipulators for Minimally Invasive Surgery (MIS). IEEE Sensors Journal, 20, 3487-3495.
https://doi.org/10.1109/jsen.2019.2945163
Tiziani, L. O. & F. L. Hammond (2020) Optical Sensor-Embedded Pneumatic Artificial Muscle for Position and Force Estimation. Soft Robotics, 7, 462-477.
https://doi.org/10.1089/soro.2019.0019
Massari, L., E. Schena, C. Massaroni, P. Saccomandi, A. Menciassi, E. Sinibaldi & C. M. Oddo (2020) A Machine-Learning-Based Approach to Solve Both Contact Location and Force in Soft Material Tactile Sensors. Soft Robotics, 7, 409-420.
https://doi.org/10.1089/soro.2018.0172
Llamosi, A. & S. Toussaint (2019) Measuring Force Intensity and Direction with a Spatially Resolved Soft Sensor for Biomechanics and Robotic Haptic Capability. Soft Robotics, 6, 346-355.
https://doi.org/10.1089/soro.2018.0044
Yuan, W. Z., S. Y. Dong & E. H. Adelson (2017) GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force. Sensors, 17.
https://doi.org/10.3390/s17122762
Medjahdi, N., Benmoussa, N., Benichou, A., Otmani, R., Modeling and Simulation of the Mechanical and Electrical Response of the Piezoresistive Force Sensor, (2019) International Review on Computers and Software (IRECOS), 14 (2), pp. 44-48.
https://doi.org/10.15866/irecos.v14i2.19286
Nadjia, M., Eddine, B., Abdelkader, B., Radouane, O., Modeling and Simulation of the Mechanical and Electrical Response of the Piezoresistive Force Sensor, (2013) International Journal on Information Technology (IREIT), 1 (4), pp. 252-256.
Lin, M. H., M. Vatani, J. W. Choi, S. Dilibal & E. D. Engeberg (2020) Compliant underwater manipulator with integrated tactile sensor for nonlinear force feedback control of an SMA actuation system. Sensors and Actuators a-Physical, 315.
https://doi.org/10.1016/j.sna.2020.112221
Ramirez, J., Rubiano, A. and Cogollo, J., 2019. Characterization of smart materials requirements for actuation in the robotic applications. Journal of Physics: Conference Series, 1386, p.012073.
https://doi.org/10.1088/1742-6596/1386/1/012073
Ramírez, J.L.; Rubiano, A.; Jouandeau, N.; Gallimard, L.; Polit, O. Artificial Muscles Design Methodology Applied to Robotic Fingers. In Smart Structures and Materials; Araujo, A., Mota Soares, C.A., Eds.; Springer: Berlin/Heidelberg, Germany, 2016; pp. 209–225.
https://doi.org/10.1007/978-3-319-44507-6_11
Ramírez, J.L.; Rubiano, A.; Jouandeau, N.; Gallimard, L.; Polit, O. New Morphological Optimization of Prosthesis’ Finger for Precision Grasping. In New Trends in Medical and Service Robots: Human Centered Analysis, Control and Design; Wenger, P., Chevallereau, C., Pisla, D., Bleuler, H., Rudi’s, A., Eds.; Springer: Berlin/Heidelberg, Germany, 2016; pp. 249–263.
https://doi.org/10.1007/978-3-319-30674-2_19
Ramirez, J.; Rubiano, A.; Castiblanco, P. Soft Driving Epicyclical Mechanism for Robotic Finger. Actuators 2019, 8, 58.
https://doi.org/10.3390/act8030058
Dilibal, S., H. Sahin, J. O. Danquah, M. O. F. Emon & J. W. Choi (2021) Additively Manufactured Custom Soft Gripper with Embedded Soft Force Sensors for an Industrial Robot. International Journal of Precision Engineering and Manufacturing, 22, 709-718.
https://doi.org/10.1007/s12541-021-00479-0
Leal, A. G., C. Marques, M. R. N. Ribeiro, M. J. Pontes & A. Frizera (2018) FBG-Embedded 3-D Printed ABS Sensing Pads: The Impact of Infill Density on Sensitivity and Dynamic Range in Force Sensors. IEEE Sensors Journal, 18, 8381-8388.
https://doi.org/10.1109/jsen.2018.2866689
Jing Q., Pace A., Ives L., Husmann A., Ćatić N., Khanduja V., Cama V., Kar-Narayan S., Aerosol-jet-printed, conformable microfluidic force sensors, Cell Reports Physical Science, 2, Issue 4, 2021, 100386, ISSN 2666-3864,
https://doi.org/10.1016/j.xcrp.2021.100386
Li H., Fang X., Ruihuan Li, Bin Liu, Heng Tang, Xinrui Ding, Yingxi Xie, Rui Zhou, Guofu Zhou, Yong Tang, All-printed soft triboelectric nanogenerator for energy harvesting and tactile sensing, Nano Energy, 78, 2020, 105288, ISSN 2211-2855,
https://doi.org/10.1016/j.nanoen.2020.105288
Ji Z., Yan C., Ma S., Gorb S., Jia X., Yu B., Wang X., Zhou F., 3D printing of bioinspired topographically oriented surfaces with frictional anisotropy for directional driving, Tribology International, 132, 2019, 99-107, ISSN 0301-679X,
https://doi.org/10.1016/j.triboint.2018.12.010
Korolovych V. F:, Cherpak V., Nepal D., Ng A., Shaikh N. R., Grant A., Xiong R., Bunning T. J., Tsukruk V. V:, Cellulose nanocrystals with different morphologies and chiral properties, Polymer, 145, 2018, Pages 334-347, ISSN 0032-3861,
https://doi.org/10.1016/j.polymer.2018.04.064
Lin M., Vatani M., Choi J., Dilibal S., Engeberg E. D., Compliant underwater manipulator with integrated tactile sensor for nonlinear force feedback control of an SMA actuation system, Sensors and Actuators A: Physical, 315, 2020, 112221, ISSN 0924-4247.
https://doi.org/10.1016/j.sna.2020.112221
Robinson S. S:, O’Brien K. W:, Zhao H., Peele B. N., Larson C. M., Mac Murray B. C:, Van Meerbeek I. M:, Dunham S. N., Shepherd R. F., Integrated soft sensors and elastomeric actuators for tactile machines with kinesthetic sense, Extreme Mechanics Letters, 5, 2015, 47-53, ISSN 2352-4316.
https://doi.org/10.1016/j.eml.2015.09.005
Arnaldo G. Leal-Junior, Camilo R. Díaz, Maria José Pontes, Carlos Marques, Anselmo Frizera, Polymer optical fiber-embedded, 3D-printed instrumented support for microclimate and human-robot interaction forces assessment, Optics & Laser Technology, 112, 2019, Pages 323-331, ISSN 0030-3992,
https://doi.org/10.1016/j.optlastec.2018.11.044
Setiawan, J., Ariyanto, M., Nugroho, S., Munadi, M., Ismail, R., A Soft Exoskeleton Glove Incorporating Motor-Tendon Actuator for Hand Movements Assistance, (2020) International Review of Automatic Control (IREACO), 13 (1), pp. 1-11.
https://doi.org/10.15866/ireaco.v13i1.18274
Ramírez, J. L. and Rubiano, A. and Jouandeau, N. and El korso, M. N. and Gallimard, L. and Polit, O. Hybrid kinematic model applied to the under-actuated robotic hand prosthesis ProMain-I and experimental evaluation. Proceedings of 14th IEEE International Conference on Rehabilitation Robotics (ICORR). 2015.
https://doi.org/10.1109/icorr.2015.7281216
Yap H, Ng H, Yeow C. High-Force Soft Printable Pneumatics for Soft Robotic Applications. Soft Robot. 2016;3(3):144-158
https://doi.org/10.1089/soro.2016.0030
Jin G., Sun Y., Geng J., Yuan X., Chen T., Liu H., Wang F., Sun L., Bioinspired soft caterpillar robot with ultra-stretchable bionic sensors based on functional liquid metal, Nano Energy, 84, 2021, 105896, ISSN 2211-2855.
https://doi.org/10.1016/j.nanoen.2021.105896
Coyle S., Majidi C., LeDuc P., Hsia K. J., Bio-inspired soft robotics: Material selection, actuation, and design, Extreme Mechanics Letters, 22, 2018, 51-59, ISSN 2352-4316.
https://doi.org/10.1016/j.eml.2018.05.003
Kuppuswamy N., Carbajal J.P., Learning a Curvature Dynamic Model of an Octopus-inspired Soft Robot Arm Using Flexure Sensors, Procedia Computer Science, 7, 2011, 294-296, ISSN 1877-0509.
https://doi.org/10.1016/j.procs.2011.09.046
Kim S., Laschi C., Trimmer B., Soft robotics: a bioinspired evolution in robotics, Trends in Biotechnology, 31, Issue 5, 2013, 287-294, ISSN 0167-7799.
https://doi.org/10.1016/j.tibtech.2013.03.002
Washington A, Neubauer J, Kim K J, Chapter 3 - Soft actuators and their potential applications in rehabilitative devices, Editor(s): Amir Jafari, Nafiseh Ebrahimi, Soft Robotics in Rehabilitation, Academic Press, 2021, 89-110, ISBN 9780128185384.
https://doi.org/10.1016/b978-0-12-818538-4.00003-4
Tang C., Li B., Fang H., Li Z., Chen H., A speedy, amphibian, robotic cube: Resonance actuation by a dielectric elastomer, Sensors and Actuators A: Physical, 270, 2018, 1-7, ISSN 0924-4247.
https://doi.org/10.1016/j.sna.2017.12.003
Oguntosin V., Akindele A., Design and characterization of artificial muscles from wedge-like pneumatic soft modules, Sensors and Actuators A: Physical, 297, 2019, 111523, ISSN 0924-4247.
https://doi.org/10.1016/j.sna.2019.07.047
Hu H, Tian Q, Liu C, Soft Machines: Challenges to Computational Dynamics, Procedia IUTAM, 20, 2017, 10-17, ISSN 2210-9838.
https://doi.org/10.1016/j.piutam.2017.03.003
Lin Z., Hess A., Yu Z., Cai S., Gao T., A fluid–structure interaction study of soft robotic swimmer using a fictitious domain/active-strain method, Journal of Computational Physics, 376, 2019, 1138-1155, ISSN 0021-9991.
https://doi.org/10.1016/j.jcp.2018.10.015
Kobayashi Y., Harada K., Takagi K., Automatic controller generation based on dependency network of multi-modal sensor variables for musculoskeletal robotic arm, Robotics and Autonomous Systems, 118, 2019, 55-65, ISSN 0921-8890.
https://doi.org/10.1016/j.robot.2019.04.010
Ju Y., Hu R., Xie Y., Yao Y., Li X., Lv Y., Han X., Cao Q., Li L, Reconfigurable Magnetic Soft Robots with Multimodal Locomotion, Nano Energy, 2021, 106169, ISSN 2211-2855.
https://doi.org/10.1016/j.nanoen.2021.106169
Song S.E, Chapter 34 - Robotic interventions, Editor(s): S. Kevin Zhou, Daniel Rueckert, Gabor Fichtinger, In The Elsevier and MICCAI Society Book Series, Handbook of Medical Image Computing and Computer Assisted Intervention, Academic Press, 2020, 841-860, ISBN 9780128161760
https://doi.org/10.1016/b978-0-12-816176-0.00039-9
Cao J., Qin L., Liu J., Ren Q., Foo C.C., Wang H., Lee H.P., Zhu J., Untethered soft robot capable of stable locomotion using soft electrostatic actuators, Extreme Mechanics Letters, 21, 2018, 9-16, ISSN 2352-4316.
https://doi.org/10.1016/j.eml.2018.02.004
Rubiano A., Doctoral Thesis, Smart control of a soft robotic hand prosthesis, 2016, Nanterre Paris University, France, Paris.
P. Righettini and R. Strada, Driving Technologies for the Design of Additive Manufacturing Systems, HighTech and Innovation Journal, 2, no. 1, pp. 20-28, 2021.
https://doi.org/10.28991/hij-2021-02-01-03
G. Innella and P. Rodgers, The Benefits of a Convergence between Art and Engineering, HighTech and Innovation Journal, 2, no. 1, pp. 29-37, 2021.
https://doi.org/10.28991/hij-2021-02-01-04
V. Vikulov, A. Todorov, A. Faustov and N. Lvov, Selection of the Optimal FBG Length for Use in Stress-Strain State Diagnostic Systems, Civil Engineering Journal, 5, no. 12, pp. 2700-2707, 2019.
https://doi.org/10.28991/cej-2019-03091442
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