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Design, Manufacturing and Open-Loop Control of a Soft Pneumatic Arm (2401.01409v1)

Published 2 Jan 2024 in cs.RO

Abstract: Soft Robots distinguish themselves from traditional robots by embracing flexible kinematics. Because of their recent emergence, there exist numerous uncharted territories, including novel actuators, manufacturing processes, and advanced control methods. This research is centred on the design, fabrication, and control of a pneumatic soft robot. The principal objective is to develop a modular soft robot featuring with multiple segments, each one of three degrees of freedom. This yields to tubular structure with five independent degrees of freedom, enabling motion across three spatial dimensions. Physical construction leverages tin-cured silicone and a wax casting method, refined through iterative processes. 3D-printed PLA moulds, filled with silicone, yield the desired model, while bladder-like structures, are formed within using solidified paraffin wax positive moulds. For control, an empirically fine-tuned open-loop system is adopted. The project culminates in rigorous testing bending ability and weight carrying capacity and possible applications are discussed.

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References (68)
  1. M. Manti, A. Pratesi, E. Falotico, M. Cianchetti, and C. Laschi, “Soft assistive robot for personal care of elderly people,” in 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 833–838, 2016.
  2. S. Carrasco Martínez, J. J. Gamboa Montero, M. Maroto Gómez, F. Alonso Martín, and M. A. Salichs, “Applying psychological and social strategies to increase engagement in human-robot interaction,” Revista Iberoamericana de Automática e Informática industrial, vol. 20, p. 199–212, feb. 2023.
  3. L. Paternò and L. Lorenzon, “Soft robotics in wearable and implantable medical applications: Translational challenges and future outlooks,” Frontiers in Robotics and AI, vol. 10, 2023.
  4. H. Huang, S. Tang, W. Chai, F. Sun, D. Wu, S. Miao, D. Zhong, H. Hou, and M. Dong, “MCSG: A morphology configurable soft gripper with self-adaption modular composite finger,” IEEE Transactions on Industrial Electronics, vol. 71, no. 1, pp. 708–717, 2023.
  5. F. Holsten, S. Darkner, M. P. Engell-Nørregård, and K. Erleben, “Data Driven Inverse Kinematics of Soft Robots using Local Models,” in 2019 International Conference on Robotics and Automation (ICRA), (Montréal), pp. 6251–6257, 2019.
  6. N. A. Continelli, L. F. Nagua, C. A. Monje, and C. Balaguer, “Modeling of a soft robotic neck using machine learning techniques,” Revista Iberoamericana de Automática e Informática Industrial, vol. 20, pp. 282–292, 2023.
  7. T. Kalinsky, D. Drotman, B. Shih, and E. Aronoof-Spencer, “Differential pressure control of 3d printed soft fluidic actuators,” in 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017.
  8. A. V. Maksimkin, T. D. 1, D. V. Telyshev, and A. Y. Gerasimenko, “Electroactive polymer-based composites for artificial muscle-like actuators: A review,” Nanomaterials, 2022.
  9. M. Sun, C. Tian, L. Mao, X. Meng, X. Shen, B. Hao, X. Wang, H. Xie, and L. Zhang, “Reconfigurable magnetic slime robot: Deformation, adaptability, and multifunction,” Advanced Functional Materials, 2022.
  10. Y. Wang, Z. Xu, J. Wu, Y. Zhang, and C. Y. Su, “Modelling and model-based tracking control of soft twisted and coiled actuators,” Control Engineering Practice, vol. 141, no. 388, p. 105722, 2023.
  11. C. Cruz Ulloa, S. Terrile, and A. Barrientos, “Soft underwater robot actuated by shape-memory alloys “jellyrobcib” for path tracking through fuzzy visual control,” Applied Sciences (Switzerland), vol. 10, no. 20, pp. 1–22, 2020.
  12. S. Terrile, A. López, and A. Barrientos, “Use of Finite Elements in the Training of a Neural Network for the Modeling of a Soft Robot,” Biomimetics, vol. 8, no. 1, p. 56, 2023.
  13. I. A. Seleem, H. El-Hussieny, and H. Ishii, “Recent Developments of Actuation Mechanisms for Continuum Robots: A Review,” International Journal of Control, Automation and Systems, vol. 21, no. 5, pp. 1592–1609, 2023.
  14. S. Terrile, M. Argüelles, and A. Barrientos, “Comparison of Different Technologies for Soft Robotics Grippers,” Sensors, vol. 21, no. 9, 2021.
  15. X. A. Li, H. Yue, D. Yang, K. Sun, and H. Liu, “A Large-Scale Inflatable Robotic Arm Toward Inspecting Sensitive Environments: Design and Performance Evaluation,” IEEE Transactions on Industrial Electronics, vol. 70, no. 12, pp. 12486–12499, 2023.
  16. M. M. Coad, L. H. Blumenschein, S. Cutler, J. A. R. Zepeda, N. D. Naclerio, H. El-Hussieny, U. Mehmood, J.-H. Ryu, E. W. Hawkes, and A. M. Okamura, “Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration,” IEEE Robotics & Automation Magazine, vol. 27, no. 3, pp. 120–132, 2020.
  17. D. E. Martinez-Sanchez, X. Y. Sandoval-Castro, N. Cruz-Santos, E. Castillo-Castaneda, M. F. Ruiz-Torres, and M. A. Laribi, “Soft Robot for Inspection Tasks Inspired on Annelids to Obtain Peristaltic Locomotion,” Machines, vol. 11, no. 8, pp. 1–15, 2023.
  18. M. Eslami, M. Pirmoradian, A. Mokhtarian, and S. Baghaei, “Design and manufacture of a soft robot with dual-interaction in virtual reality,” Heliyon, vol. 9, no. 9, p. e19997, 2023.
  19. C. Zhang, M. Li, Y. Chen, Z. Yang, B. He, X. Li, J. Xie, and G. Xu, “An anthropomorphic robotic hand with a soft-rigid hybrid structure and positive- negative pneumatic actuation,” IEEE Robotics and Automation Letters, vol. 8, no. 7, pp. 4346–4353, 2023.
  20. D. Cerrillo, A. Barrientos, and J. Del Cerro, “Kinematic Modelling for Hyper-Redundant Robots—A Structured Guide,” Mathematics, vol. 10, no. 16, 2022.
  21. A. Stilli, H. A. Wurdemann, and K. Althoefer, “Shrinkable, stiffness-controllable soft manipulator based on a bio-inspired antagonistic actuation principle,” in IEEE International Conference on Intelligent Robots and Systems, pp. 2476–2481, IEEE, 2014.
  22. Y. Yang, Y. Chen, Y. Li, M. Z. Chen, and Y. Wei, “Bioinspired robotic fingers based on pneumatic actuator and 3D printing of smart material,” Soft Robotics, vol. 4, no. 2, pp. 147–162, 2017.
  23. F. Daerden and D. Lefeber, “Pneumatic Artificial Muscles: actuators for robotics and automation,” European Journal of Mechanical and Environmental Engineering, vol. 47, no. 1, pp. 10–21, 2002.
  24. E. W. Hawkes, D. L. Christensen, and A. M. Okamura, “Design and implementation of a 300% strain soft artificial muscle,” Proceedings - IEEE International Conference on Robotics and Automation, vol. 2016-June, no. 1, pp. 4022–4029, 2016.
  25. W. Sun, N. Akashi, Y. Kuniyoshi, and K. Nakajima, “Physics-Informed Recurrent Neural Networks for Soft Pneumatic Actuators,” IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6862–6869, 2022.
  26. G. Liu, N. Sun, T. Yang, and Y. Fang, “Reinforcement Learning-Based Prescribed Performance Motion Control of Pneumatic Muscle Actuated Robotic Arms With Measurement Noises,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 3, pp. 1801–1812, 2023.
  27. B. Mosadegh, P. Polygerinos, C. Keplinger, S. Wennstedt, R. Shepherd, U. Gupta, J. Shim, K. Bertoldi, C. Walsh, and G. Whitesides, “Pneumatic networks for soft robotics that actuate rapidly,” Advanced Functional Materials, vol. 24, 04 2014.
  28. K. Batsuren and D. Yun, “Soft robotic gripper with chambered fingers for performing in-hand manipulation,” Applied Sciences (Switzerland), vol. 9, no. 15, 2019.
  29. E. M. Sierra and J. L. Ordoñez-Ávila, “Mathematical Modeling of a Multi-Chamber Pneumatic Soft Actuator,” Actuators, vol. 11, no. 221, 2022.
  30. S. Terrile, J. Miguelañez, and A. Barrientos, “A soft haptic glove actuated with shape memory alloy and flexible stretch sensors,” Sensors, vol. 21, no. 16, 2021.
  31. A. Shiva, A. Stilli, Y. Noh, A. Faragasso, I. D. Falco, G. Gerboni, M. Cianchetti, A. Menciassi, K. Althoefer, and H. A. Wurdemann, “Tendon-Based Stiffening for a Pneumatically Actuated Soft Manipulator,” IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 632–637, 2016.
  32. H. Ma and J. Zhou, “Modeling, Characterization, and Application of Soft Bellows-Type Pneumatic Actuators for Bionic Locomotion,” Acta Mechanica Solida Sinica, vol. 36, no. 1, pp. 1–12, 2023.
  33. R. Deimel and O. Brock, “A Novel Type of Compliant, Underactuated Robotic Hand for Dexterous Grasping,” Robotics: Science and Systems, 2014.
  34. S. P. Babu, A. Sadeghi, A. Mondini, and B. Mazzolai, “Antagonistic pneumatic actuators with variable stiffness for soft robotic applications,” RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics, pp. 283–288, 2019.
  35. K. H. Heung, H. Li, T. W. Wong, and S. S. Ng, “Assistive robotic hand with bi-directional soft actuator for hand impaired patients,” Frontiers in Bioengineering and Biotechnology, vol. 11, no. July, pp. 1–14, 2023.
  36. E. Brown, N. Rodenberg, J. Amend, A. Mozeika, E. Steltz, M. R. Zakin, H. Lipson, and H. M. Jaeger, “Universal robotic gripper based on the jamming of granular material,” Proceedings of the National Academy of Sciences, vol. 107, no. 44, pp. 18809–18814, 2010.
  37. Y. Yang, Y. Zhang, Z. Kan, J. Zeng, and M. Y. Wang, “Hybrid Jamming for Bioinspired Soft Robotic Fingers,” Soft Robotics, vol. 7, no. 3, pp. 292–308, 2020.
  38. H. Yang, L. Yuan, X. F. Yao, and D. N. Fang, “Piezoresistive response of graphene rubber composites considering the tunneling effect,” Journal of the Mechanics and Physics of Solids, vol. 139, 2020.
  39. B. Tondu, S. Ippolito, J. Guiochet, and A. Daidie, “A Seven-degrees-of-freedom robot-arm driven by pneumatic artificial muscles for humanoid robots,” International Journal of Robotics Research, vol. 24, no. 4, pp. 257–274, 2005.
  40. P. Ohta, L. Valle, J. King, K. Low, J. Yi, C. G. Atkeson, and Y. L. Park, “Design of a Lightweight Soft Robotic Arm Using Pneumatic Artificial Muscles and Inflatable Sleeves,” Soft Robotics, vol. 5, no. 2, pp. 204–215, 2018.
  41. N. Oh, J. G. Lee, and H. Rodrigue, “Torsional Pneumatic Actuator Based on Pre-Twisted Pneumatic Tubes for Soft Robotic Manipulators,” IEEE/ASME Transactions on Mechatronics, vol. 28, no. 6, pp. 3191–3201, 2023.
  42. N. Oh and H. Rodrigue, “Toward the development of large-scale inflatable robotic arms using hot air welding,” Soft Robotics, vol. 10, no. 1, pp. 88–96, 2023. PMID: 35483085.
  43. M. J. Park, W. Kim, S. Y. Yu, J. Cho, W. Kang, J. Byun, U. Jeong, and K. J. Cho, “Deployable Soft Origami Modular Robotic Arm With Variable Stiffness Using Facet Buckling,” IEEE Robotics and Automation Letters, vol. 8, no. 2, pp. 864–871, 2023.
  44. C. Alessi, E. Falotico, and A. Lucantonio, “Ablation study of a dynamic model for a 3d-printed pneumatic soft robotic arm,” IEEE Access, vol. 11, pp. 37840–37853, 2023.
  45. H. Jiang, Z. Wang, X. Liu, X. Chen, Y. Jin, X. You, and X. Chen, “A two-level approach for solving the inverse kinematics of an extensible soft arm considering viscoelastic behavior,” Proceedings - IEEE International Conference on Robotics and Automation, pp. 6127–6133, 2017.
  46. H. Jiang, Z. Wang, Y. Jin, X. Chen, P. Li, Y. Gan, S. Lin, and X. Chen, “Design, Control, and Applications of a Soft Robotic Arm.” 2019.
  47. T. G. Thuruthel, E. Falotico, F. Renda, and C. Laschi, “Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators,” IEEE Transactions on Robotics, vol. 35, no. 1, pp. 127–134, 2019.
  48. M. Cianchetti, T. Ranzani, G. Gerboni, I. De Falco, C. Laschi, and A. Menciassi, “STIFF-FLOP surgical manipulator: Mechanical design and experimental characterization of the single module,” in IEEE International Conference on Intelligent Robots and Systems, pp. 3576–3581, 2013.
  49. Y. Toshimitsu, K. W. Wong, T. Buchner, and R. Katzschmann, “Sopra: Fabrication and dynamical modeling of a scalable soft continuum robotic arm with integrated proprioceptive sensing,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
  50. R. K. Katzschmann, C. D. Santina, Y. Toshimitsu, A. Bicchi, and D. Rus, “Dynamic motion control of multi-segment soft robots using piecewise constant curvature matched with an augmented rigid body model,” RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics, pp. 454–461, 2019.
  51. P. Borja, A. Dabiri, and C. D. Santina, “Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity,” 2022 IEEE 5th International Conference on Soft Robotics, RoboSoft 2022, pp. 396–402, 2022.
  52. P. Schegg and C. Duriez, “Review on generic methods for mechanical modeling, simulation and control of soft robots,” PLoS ONE, vol. 17, no. 1 January 2022, pp. 1–14, 2022.
  53. C. Della Santina, “The Soft Inverted Pendulum with Affine Curvature,” Proceedings of the IEEE Conference on Decision and Control, vol. 2020-Decem, no. Cdc, pp. 4135–4142, 2020.
  54. E. Coevoet, A. Escande, and C. Duriez, “Soft robots locomotion and manipulation control using FEM simulation and quadratic programming,” RoboSoft 2019 - 2019 IEEE International Conference on Soft Robotics, pp. 739–745, 2019.
  55. L. Ding, L. Niu, Y. Su, H. Yang, G. Liu, H. Gao, and Z. Deng, “Dynamic Finite Element Modeling and Simulation of Soft Robots,” Chinese Journal of Mechanical Engineering (English Edition), vol. 35, no. 1, 2022.
  56. B. G. Cangan, S. E. Navarro, B. Yang, Y. Zhang, C. Duriez, and R. K. Katzschmann, “Model-Based Disturbance Estimation for a Fiber-Reinforced Soft Manipulator using Orientation Sensing,” IEEE International Conference on Intelligent Robots and Systems, vol. 2022-Octob, pp. 9424–9430, 2022.
  57. M. Dubied, M. Y. Michelis, A. Spielberg, and R. K. Katzschmann, “Sim-to-Real for Soft Robots Using Differentiable FEM: Recipes for Meshing, Damping, and Actuation,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5015–5022, 2022.
  58. C. V. Baysal, “An Inverse Dynamics-Based Control Approach for Compliant Control of Pneumatic Artificial Muscles,” Actuators, vol. 11, no. 4, 2022.
  59. P. Li, G. Wang, H. Jiang, Y. Jin, Y. Gan, X. Chen, and J. Ji, “A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator,” in 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021, pp. 839–845, 2021.
  60. T. G. Thuruthel, T. Hassan, E. Falotico, Y. Ansari, M. Cianchetti, and C. Laschi, “Closed loop control of a braided-structure continuum manipulator with hybrid actuation based on learning models,” 2019 IEEE International Conference on Cyborg and Bionic Systems, CBS 2019, pp. 116–122, 2019.
  61. A. Centurelli, L. Arleo, A. Rizzo, S. Tolu, C. Laschi, and E. Falotico, “Closed-Loop Dynamic Control of a Soft Manipulator Using Deep Reinforcement Learning,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4741–4748, 2022.
  62. G. Fang, Y. Tian, Z. X. Yang, J. M. Geraedts, and C. C. Wang, “Efficient Jacobian-Based Inverse Kinematics With Sim-to-Real Transfer of Soft Robots by Learning,” IEEE/ASME Transactions on Mechatronics, pp. 1–11, 2022.
  63. E. Almanzor, F. Ye, J. Shi, T. G. Thuruthel, H. A. Wurdemann, and F. Iida, “Static Shape Control of Soft Continuum Robots Using Deep Visual Inverse Kinematic Models,” IEEE Transactions on Robotics, vol. 39, no. 4, pp. 2973–2988, 2023.
  64. M. C. Yip and D. B. Camarillo, “Model-less feedback control of continuum manipulators in constrained environments,” IEEE Transactions on Robotics, vol. 30, no. 4, pp. 880–889, 2014.
  65. D. Bruder, B. Gillespie, C. David Remy, and R. Vasudevan, “Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control.” 2019.
  66. Y.-S. Yang, “Measurement of dynamic responses from large structural tests by analyzing non-synchronized videos,” Sensors, vol. 19, no. 16, 2019.
  67. A. Martin-Barrio, S. Terrile, M. Diaz-Carrasco, J. del Cerro, and A. Barrientos, “Modelling the Soft Robot Kyma Based on Real-Time Finite Element Method,” Computer Graphics Forum, vol. 39, no. 6, pp. 289–302, 2020.
  68. T. G. Thuruthel, E. Falotico, M. Manti, and C. Laschi, “Stable Open Loop Control of Soft Robotic Manipulators,” IEEE Robotics and Automation Letters, vol. 3, no. 2, pp. 1292–1298, 2018.
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