Analysis of Contact Force and Shape Change on Grasping a Square Object Using an Actual Fin Ray Soft Gripper
<p>Contact force distribution measurement device with multiple force sensors built into the gripping body. (<b>a</b>) Conceptual diagram of the device; (<b>b</b>) Force sensor and contact part mounting; (<b>c</b>) Shape of the grasped object (cylinder, square 0°, square 45°).</p> "> Figure 2
<p>Structural deformation measurement system using camera image processing. (<b>a</b>) Appearance of the device; (<b>b</b>) LED for synchronization signal between camera image and contact force data; (<b>c</b>) Flow of analysis of acquired image data (The red dots represent the point of motion and the point of stable grasp, respectively.).</p> "> Figure 3
<p>Specifications of the FRSG capable of parallel open/close motion. (<b>a</b>) Dimensions and outline of the FRSG and size of the markers; (<b>b</b>) Five different Fin Ray structures used in the experiment; (<b>c</b>) Number labels for each marker; (<b>d</b>) Fin Ray structure fixing mechanism with T-slot and a finger can be inserted in the direction of the red arrow.</p> "> Figure 4
<p>Three different types of grasping position for (<b>a</b>) cylinder, (<b>b</b>) square (0°), and (<b>c</b>) square (45°) objects.</p> "> Figure 5
<p>FRPG appearance in cylinder grasp at reference position. (<b>a</b>) Crossbeam angle is −30°; (<b>b</b>) Crossbeam angle is 30°; (<b>c</b>) Crossbeam angle is −15°; (<b>d</b>) Crossbeam angle is 0°.</p> "> Figure 6
<p>Contact force distribution and structural deformation during object grasping (object: cylinder, grasping position: center).</p> "> Figure 7
<p>Contact force distribution and structural deformation during object grasping (object: cylinder, grasping position: 10 mm upward from the center).</p> "> Figure 8
<p>Contact force distribution and structural deformation during object grasping (object: cylinder, grasping position: 20 mm upward from the center).</p> "> Figure 9
<p>FRPG appearance in square (0°) grasp at reference position. (<b>a</b>) Crossbeam angle is −30°; (<b>b</b>) Crossbeam angle is 30°; (<b>c</b>) Crossbeam angle is −15°; (<b>d</b>) Crossbeam angle is 0°.</p> "> Figure 10
<p>Contact force distribution and structural deformation during object grasping (object: square (0°), grasping position: center).</p> "> Figure 11
<p>Contact force distribution and structural deformation during object grasping (object: square (0°), grasping position: 10 mm upward from the center).</p> "> Figure 12
<p>Contact force distribution and structural deformation during object grasping (object: square (0°), grasping position: 20 mm upward from the center).</p> "> Figure 13
<p>FRPG appearance in square (45°) grasp at reference position. (<b>a</b>) Crossbeam angle is −30°; (<b>b</b>) Crossbeam angle is 30°; (<b>c</b>) Crossbeam angle is −15° at +20 mm from center of contact surface; (<b>d</b>) Crossbeam angle is 0° at +10 mm from center of contact surface.</p> "> Figure 14
<p>Contact force distribution and structural deformation during object grasping (object: square (45°), grasping position: reference position).</p> "> Figure 15
<p>Contact force distribution and structural deformation during object grasping (object: square (45°), grasping position: 10 mm upward from the center).</p> "> Figure 16
<p>Contact force distribution and structural deformation during object grasping (object: square (45°), grasping position: 20 mm upward from the center).</p> ">
Abstract
:1. Introduction
2. Proposed System
2.1. Proposed Method for Analyzing the Wrapping and Grasping Characteristics of FRSGs
2.2. The FRSG Structural Deformation Measurement System by Camera Image Analysis
2.3. Description of FRSG Specifications
2.4. Experimental Setup
3. Experiment 1: Analysis of the Effect of Crossbeam Angle on Grasping Condition
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 0 | +9.7 (± 5.1) | +10.8 (±5.3) | |
−15° | 0 | −9.0 (±0.2) | −5.5 (±1.2) | |
0° | 0 | −10.7 (±0.3) | −4.8 (±0.3) | |
+15° | 0 | −11.5 (±0.2) | −1.7 (±0.5) | |
+30° | 0 | +10.2 (±1.2) | +13.8 (±0.8) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 10 | −2.2 (±0.2) | −0.4 (±0.1) | |
−15° | 10 | −8.9 (±0.2) | −4.6 (±0.2) | |
0° | 10 | −8.1 (±0.1) | −5.2 (±0.3) | |
+15° | 10 | −9.9 (±0.1) | −4.9 (±0.5) | |
+30° | 10 | −0.0 (±0.1) | +3.8 (±0.2) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 20 | −3.1 (± 0.3) | −3.0 (±0.3) | |
−15° | 20 | −7.2 (±0.1) | −6.4 (±1.2) | |
0° | 20 | −6.1 (±0.1) | −4.9 (±0.2) | |
+15° | 20 | −7.6 (±0.1) | −7.5 (±0.2) | |
+30° | 20 | −3.2 (±1.2) | −2.9 (±0.8) |
4. Experiment 2: Analysis of Grasping State When Grasping an Angular Object Shape Like a Square
4.1. Grasping Analysis of Five Types of FRSG for a Square Object (0 Degrees)
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 0 | +29.1 (±0.0) | +29.0 (±0.0) | |
−15° | 0 | −2.1 (±0.7) | −4.0 (±1.0) | |
0° | 0 | −1.9 (±0.1) | +7.4 (±2.4) | |
+15° | 0 | −1.4 (±0.8) | +8.1 (±0.9) | |
+30° | 0 | +23.1 (±0.6) | +29.1 (±0.0) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 10 | +19.0 (±0.0) | +19.0 (±0.0) | |
−15° | 10 | −6.7 (±0.1) | −3.4 (±0.3) | |
0° | 10 | −9.9 (±0.1) | −4.7 (±0.8) | |
+15° | 10 | −10.6 (±2.0) | +1.1 (±2.0) | |
+30° | 10 | +10.0 (±1.8) | +14.5 (±2.2) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 20 | 9.0 (±0.0) | 9.0 (±0.0) | |
−15° | 20 | −8.9 (±0.4) | −4.0 (±7.0) | |
0° | 20 | −12.2 (±0.1) | −7.5 (±0.3) | |
+15° | 20 | −13.5 (±0.1) | −5.4 (±0.6) | |
+30° | 20 | +0.6 (±0.4) | +6.5 (±1.4) |
4.2. Grasping Analysis of Five Types of FRSG for a Square Object (45 Degrees)
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 0 | −0.6 (±0.9) | 4.1 (±0.7) | |
−15° | 0 | −7.1 (±0.1) | −2.8 (±0.2) | |
0° | 0 | −8.2 (±0.1) | −4.2 (±0.5) | |
+15° | 0 | −3.5 (±1.9) | 1.5 (±2.6) | |
+30° | 0 | +7.5 (±0.5) | +9.1 (±2.4) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 10 | −3.8 (±0.6) | 4.1 (±0.7) | |
−15° | 10 | −11.7 (±0.6) | −7.4 (±0.4) | |
0° | 10 | −12.7 (±0.5) | −8.5 (±0.7) | |
+15° | 10 | −12.8 (±0.5) | −5.4 (±0.8) | |
+30° | 10 | −0.6 (±0.2) | +4.1 (±1.8) |
Handling Start [mm] | Handling [mm] | Handling End [mm] | ||
−30° | 10 | −3.8 (±0.6) | 4.1 (±0.7) | |
−15° | 10 | −11.7 (±0.6) | −7.4 (±0.4) | |
0° | 10 | −12.7 (±0.5) | −8.5 (±0.7) | |
+15° | 10 | −12.8 (±0.5) | −5.4 (±0.8) | |
+30° | 10 | −0.6 (±0.2) | +4.1 (±1.8) |
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hernandez, J.; Sunny, M.S.H.; Sanjuan, J.; Rulik, I.; Zarif, M.I.I.; Ahamed, S.I.; Ahmed, H.U.; Rahman, M.H. Current Designs of Robotic Arm Grippers: A Comprehensive Systematic Review. Robotics 2023, 12, 5. [Google Scholar] [CrossRef]
- Soft Robotics Inc. mGrip. 2018. Available online: https://www.softroboticsinc.com/ (accessed on 28 November 2023).
- Empire Robotics Inc. VERSABALL® Gripper. 2018. Available online: https://www.empirerobotics.com/products/ (accessed on 28 November 2023).
- Dilibal, S.; Sahin, H.; Danquah, J.O.; Emon, O.F.; Choi, J.-W. Additively Manufactured Custom Soft Gripper with Embedded Soft Force Sensors for an Industrial Robot. Int. J. Precis. Eng. Manuf. 2021, 22, 709–718. [Google Scholar] [CrossRef]
- Sun, T.; Chen, Y.; Han, T.; Jiao, C.; Lian, B.; Song, Y. A soft gripper with variable stiffness inspired by pangolin scales, toothed pneumatic actuator, and autonomous controller. Robot. CIM-INT Manuf. 2020, 61, 101848. [Google Scholar] [CrossRef]
- Hao, Y.; Visell, Y. Beyond Soft Hands: Efficient Grasping with Non-Anthropomorphic Soft Grippers. Front. Robot. AI 2021, 8, 632006. [Google Scholar] [CrossRef] [PubMed]
- Pfaff, O.; Simeonov, S.; Cirovic, I.; Stano, P. Application of Finray Effect approach for production process automation. Ann. DAAAM Proc. 2011, 22, 1247–1248. [Google Scholar]
- Festo Gmbh. MultiChoiceGripper. 2014. Available online: https://www.festo.com/net/SupportPortal/Files/333986/Festo_MultiChoiceGripper_en.pdf (accessed on 28 November 2023).
- Festo Gmbh. Adaptive Gripper Fingers DHAS. 2017. Available online: https://www.festo.com/cat/en-gb_gb/data/doc_ENGB/PDF/EN/DHAS_EN.PDF (accessed on 28 November 2023).
- Hemming, J.; Bac, C.W.; van Tuijl, B.A.; Barth, R.; Bontsema, J.; Pekkeriet, E.J.; Van Henten, E. A robot for harvesting sweet pepper in greenhouses. In Proceedings of the International Conference of Agricultural Engineering (Zurich), Zurich, Switzerland, 6–10 July 2014. [Google Scholar] [CrossRef]
- Elgeneidy, K.; Fansa, A.; Hussain, I.; Goher, K. Structural Optimization of Adaptive Soft Fin Ray Fingers with Variable Stiffening Capability. In Proceedings of the 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), New Haven, CT, USA, 15 May–15 July 2020; pp. 779–784. [Google Scholar] [CrossRef]
- Manoonpong, P.; Rajabi, H.; Larsen, J.C.; Raoufi, S.S.; Asawalertsak, N.; Homchanthanakul, J.; Tramsen, H.T.; Darvizeh, A.; Gorb, S.N. Fin Ray Crossbeam Angles for Efficient Foot Design for Energy-Efficient Robot Locomotion. Adv. Intell. Syst. 2021, 4, 2100133. [Google Scholar] [CrossRef]
- Zhou, H.; Wang, X.; Kang, H.; Chen, C. A Tactile-enabled Grasping Method for Robotic Fruit Harvesting. arXiv 2021, arXiv:2110.09051. [Google Scholar] [CrossRef]
- Zapciu, A.; Constantin, G. Additive manufacturing integration of thermoplastic conductive materials in intelligent robotic end effector systems. Proc. Manuf. Syst. 2016, 11, 201–206. [Google Scholar]
- Hashizume, J.; Huh, T.M.; Suresh, S.A.; Cutkosky, M.R. Capacitive Sensing for a Gripper with Gecko-Inspired Adhesive Film. IEEE Robot. Autom. Lett. 2019, 4, 677–683. [Google Scholar] [CrossRef]
- Liu, S.Q.; Adelson, E.H. GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant Robotic Gripper. In Proceedings of the IEEE 5th International Conference on Soft Robotics (RoboSoft), Edinburgh, UK, 4–8 April 2022; pp. 925–931. [Google Scholar] [CrossRef]
- Liu, S.Q.; Ma, Y.; Adelson, E.H. GelSight Baby Fin Ray: A Compact, Compliant, Flexible Finger with High-Resolution Tactile Sensing. In Proceedings of the 2023 IEEE International Conference on Soft Robotics (RoboSoft), Singapore, 3–7 April 2023; pp. 1–8. [Google Scholar] [CrossRef]
- Liu, S.Q.; Yañez, L.Z.; Adelson, E.H. GelSight EndoFlex: A Soft Endoskeleton Hand with Continuous High-Resolution Tactile Sensing. In Proceedings of the 2023 IEEE International Conference on Soft Robotics (RoboSoft), Singapore, 3–7 April 2023; pp. 1–6. [Google Scholar] [CrossRef]
- Shan, X.; Birglen, L. Modeling and analysis of soft robotic fingers using the fin ray effect. Int. J. Robot. Res. 2020, 39, 1686–1705. [Google Scholar] [CrossRef]
- Suder, J.; Bobovský, Z.; Mlotek, J.; Vocetka, M.; Oščádal, P.; Zeman, Z. Structural Optimization Method of a FinRay Finger for the Best Wrapping of Object. Appl. Sci. 2021, 11, 3858. [Google Scholar] [CrossRef]
- Stuhne, D.; Tabak, J.; Polic, M.; Orsag, M. Design and Prototyping of Soft Finger AI-Enabled Hand (SofIA). In Proceedings of the 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Sapporo, Japan, 11–15 July 2022; pp. 1581–1586. [Google Scholar] [CrossRef]
- De Barrie, D.; Pandya, M.; Pandya, H.; Hanheide, M.; Elgeneidy, K. A Deep Learning Method for Vision Based Force Prediction of a Soft Fin Ray Gripper Using Simulation Data. Front. Robot. AI 2021, 8, 631371. [Google Scholar] [CrossRef] [PubMed]
- Deng, Z.; Li, M. Learning Optimal Fin-Ray Finger Design for Soft Grasping. Front. Robot. AI 2021, 7, 590076. [Google Scholar] [CrossRef] [PubMed]
- Kitamura, T.; Matsushita, K. Development and Performance Verification of a 16-directional Distributed Contact Force and Side Structure Deformation Evaluation System for Actual FinRay Type Soft Gripper. Sensors 2023, in press.
- Quteishat, A.; Al-Mofleh, A.; Abuhamdah, A. Tracking Colored Objects Using Kalman Filter. Aust. J. Basic Appl. Sci. 2014, 8, 532–540. [Google Scholar]
- Abdel-Hadi, A. Real-time object tracking using color-based Kalman particle filter. In Proceedings of the 2010 International Conference on Computer Engineering & Systems, Cairo, Egypt, 30 November–2 December 2010; pp. 337–341. [Google Scholar] [CrossRef]
- Kobayashi, A.; Kinugawa, J.; Arai, S.; Kosuge, K. Design and Development of Compactly Folding Parallel Open-Close Gripper with Wide Stroke. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 3–8 November 2019; pp. 2408–2414. [Google Scholar] [CrossRef]
- Courchesne, J.; Cardou, P.; Rachide Onadja, P.A. A compact underactuated gripper with two fingers and a retractable suction cup. Front. Robot. AI 2023, 10, 1066516. [Google Scholar] [CrossRef] [PubMed]
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Kitamura, T.; Matsushita, K.; Nakatani, N. Analysis of Contact Force and Shape Change on Grasping a Square Object Using an Actual Fin Ray Soft Gripper. Sensors 2023, 23, 9827. https://doi.org/10.3390/s23249827
Kitamura T, Matsushita K, Nakatani N. Analysis of Contact Force and Shape Change on Grasping a Square Object Using an Actual Fin Ray Soft Gripper. Sensors. 2023; 23(24):9827. https://doi.org/10.3390/s23249827
Chicago/Turabian StyleKitamura, Takahide, Kojiro Matsushita, and Naoki Nakatani. 2023. "Analysis of Contact Force and Shape Change on Grasping a Square Object Using an Actual Fin Ray Soft Gripper" Sensors 23, no. 24: 9827. https://doi.org/10.3390/s23249827