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Exploring Shape Designs for Soft Robotics and Users’ Associations with Them

Published:19 April 2023Publication History

ABSTRACT

Soft robotics provides flexible structures and materials that move in natural and organic ways. They facilitate creating safe and tolerant mechanisms for human–machine interaction. This makes soft robotics attractive for tasks that rigid robots are unable to carry out. Users may also display a higher acceptance of soft robots compared to rigid robots because their natural way of movement helps users to relate to scenarios they know from everyday life, making the interaction with the soft robot feel more intuitive. However, the variety of soft robotics shape designs, and how to integrate them into applications, have not been explored fully yet. In a user study, we investigated users’ associations and ideas for application areas for 36 soft robotics shape designs, brainstormed with users beforehand. We derived first design recommendations for soft robotics designs such as clear signifiers indicating the possible motion.

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References

  1. Jason Alexander, Anne Roudaut, Jürgen Steimle, Kasper Hornbæk, Miguel Bruns Alonso, Sean Follmer, and Timothy Merritt. 2018. Grand Challenges in Shape-Changing Interface Research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, Montreal QC Canada, 1–14. https://doi.org/10.1145/3173574.3173873Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. L. Awad, J. Bae, K. O’Donnell, S. D. De Rossi, Kathryn Hendron, L. Sloot, Pawel Kudzia, Stephen Allen, K. Holt, T. Ellis, and C. Walsh. 2017. A soft robotic exosuit improves walking in patients after stroke. Science Translational Medicine (2017). https://doi.org/10.1126/scitranslmed.aai9084Google ScholarGoogle ScholarCross RefCross Ref
  3. Pinar Boyraz, Gundula Runge, and Annika Raatz. 2018. An Overview of Novel Actuators for Soft Robotics. Actuators 7 (Aug. 2018), 48. https://doi.org/10.3390/act7030048Google ScholarGoogle ScholarCross RefCross Ref
  4. Anke Brocker, Jose A. Barreiros, Ali Shtarbanov, Kristian Gohlke, Ozgun Kilic Afsar, and Sören Schröder. 2022. Actuated Materials and Soft Robotics Strategies for Human-Computer Interaction Design. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 81, 7 pages. https://doi.org/10.1145/3491101.3503711Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Anke Brocker, Jakob Strüver, Simon Voelker, and Jan Borchers. 2022. SoRoCAD: A Design Tool for the Building Blocks of Pneumatic Soft Robotics. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 330, 7 pages. https://doi.org/10.1145/3491101.3519770Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Ang Chen, Ruixue Yin, Lin Cao, Chenwang Yuan, H.K. Ding, and W.J. Zhang. 2017. Soft robotics: Definition and research issues. In 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). 366–370. https://doi.org/10.1109/M2VIP.2017.8267170Google ScholarGoogle ScholarCross RefCross Ref
  7. Ang Chen, Ruixue Yin, Lin Cao, Chenwang Yuan, H.K. Ding, and W. Zhang. 2017. Soft robotics: Definition and research issues. 366–370. https://doi.org/10.1109/M2VIP.2017.8267170Google ScholarGoogle ScholarCross RefCross Ref
  8. Nick Cheney, Josh Bongard, and Hod Lipson. 2015. Evolving Soft Robots in Tight Spaces. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (Madrid, Spain) (GECCO ’15). Association for Computing Machinery, New York, NY, USA, 935–942. https://doi.org/10.1145/2739480.2754662Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Jiachun Du, Panos Markopoulos, Qi Wang, Marina Toeters, and Ting Gong. 2018. ShapeTex: Implementing Shape-Changing Structures in Fabric for Wearable Actuation. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (Stockholm, Sweden) (TEI ’18). Association for Computing Machinery, New York, NY, USA, 166–176. https://doi.org/10.1145/3173225.3173245Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Hyunyoung Kim, Celine Coutrix, and Anne Roudaut. 2018. Morphees+: Studying Everyday Reconfigurable Objects for the Design and Taxonomy of Reconfigurable UIs. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems(CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3174193Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Sangbae Kim, Cecilia Laschi, and Barry Trimmer. 2013. Soft robotics: a bioinspired evolution in robotics. Trends in Biotechnology 31, 5 (2013), 287–294. https://doi.org/10.1016/j.tibtech.2013.03.002Google ScholarGoogle ScholarCross RefCross Ref
  12. Mirko Kovač. 2014. The Bioinspiration Design Paradigm: A Perspective for Soft Robotics. Soft Robotics 1, 1 (2014), 28–37. https://doi.org/10.1089/soro.2013.0004 arXiv:https://doi.org/10.1089/soro.2013.0004Google ScholarGoogle ScholarCross RefCross Ref
  13. Rahul Kushwaha. 2015. Procedure of animation in 3d autodesk maya: Tools & techniques. International Journal of Computer Graphics & Animation 5, 4 (2015), 15–27.Google ScholarGoogle ScholarCross RefCross Ref
  14. Li-Ke Ma, Yizhonc Zhang, Yang Liu, Kun Zhou, and Xin Tong. 2017. Computational Design and Fabrication of Soft Pneumatic Objects with Desired Deformations. ACM Trans. Graph. 36, 6, Article 239 (nov 2017), 12 pages. https://doi.org/10.1145/3130800.3130850Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Andrew D. Marchese and Daniela Rus. 2016. Design, kinematics, and control of a soft spatial fluidic elastomer manipulator. The International Journal of Robotics Research 35, 7 (June 2016), 840–869. https://doi.org/10.1177/0278364915587925 Publisher: SAGE Publications Ltd STM.Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Ali Maziz, Alessandro Concas, Alexandre Khaldi, Jonas Stålhand, Nils-Krister Persson, and Edwin W. H. Jager. 2017. Knitting and weaving artificial muscles. Science Advances 3, 1 (Jan. 2017), e1600327. https://doi.org/10.1126/sciadv.1600327 Publisher: American Association for the Advancement of Science Section: Research Article.Google ScholarGoogle ScholarCross RefCross Ref
  17. Tiana Miller-Jackson, Rainier F. Natividad, and Chen-Hua Yeow. 2019. Simplifying Soft Robots Through Adhesive-backed Fabrics. In 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft). 834–839. https://doi.org/10.1109/ROBOSOFT.2019.8722725Google ScholarGoogle ScholarCross RefCross Ref
  18. Laura Perovich, Philippa Mothersill, and Jennifer Broutin Farah. 2013. Awakened apparel: embedded soft actuators for expressive fashion and functional garments. In Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction - TEI ’14. ACM Press, Munich, Germany, 77–80. https://doi.org/10.1145/2540930.2540958Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Ratnadeep Pramanik, Patrick R. Onck, and Roel W. C. P. Verstappen. 2022. Bi-Directional Locomotion of a Magnetically-Actuated Jellyfish-Inspired Soft Robot. In Advances in Robotics - 5th International Conference of The Robotics Society (Kanpur, India) (AIR2021). Association for Computing Machinery, New York, NY, USA, Article 31, 5 pages. https://doi.org/10.1145/3478586.3478591Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Isabel P. S. Qamar, Rainer Groh, David Holman, and Anne Roudaut. 2018. HCI Meets Material Science: A Literature Review of Morphing Materials for the Design of Shape-Changing Interfaces. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–23. https://doi.org/10.1145/3173574.3173948Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Majken K. Rasmussen, Giovanni M. Troiano, Marianne G. Petersen, Jakob G. Simonsen, and Kasper Hornbæk. 2016. Sketching Shape-changing Interfaces: Exploring Vocabulary, Metaphors Use, and Affordances. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems(CHI ’16). Association for Computing Machinery, New York, NY, USA, 2740–2751. https://doi.org/10.1145/2858036.2858183Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. François Schmitt, Olivier Piccin, Laurent Barbé, and Bernard Bayle. 2018. Soft Robots Manufacturing: A Review. Frontiers Robotics AI 5 (July 2018). https://doi.org/10.3389/frobt.2018.00084Google ScholarGoogle ScholarCross RefCross Ref
  23. Patchanok Srisuradetchai and Nantapath Trakultraipruk. 2016. Skillings-Mack Statistic: Computer-Intensive Methods. Journal of Applied Statistics and Information Technology 1, 2 (Dec. 2016), 33–45. https://ph02.tci-thaijo.org/index.php/asit-journal/article/view/164759Google ScholarGoogle Scholar
  24. Paul Strohmeier, Juan Carrascal, Bernard Cheng, Margaret Meban, and Roel Vertegaal. 2016. An Evaluation of Shape Changes for Conveying Emotions. 3781–3792. https://doi.org/10.1145/2858036.2858537Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Yi Sun, Yun Seong Song, and Jamie Paik. 2013. Characterization of silicone rubber based soft pneumatic actuators. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4446–4453. https://doi.org/10.1109/IROS.2013.6696995Google ScholarGoogle ScholarCross RefCross Ref
  26. Luisa von Radziewsky, Antonio Krüger, and Markus Löchtefeld. 2015. Scarfy: Augmenting Human Fashion Behaviour with Self-Actuated Clothes. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (Stanford, California, USA) (TEI ’15). Association for Computing Machinery, New York, NY, USA, 313–316. https://doi.org/10.1145/2677199.2680568Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Wyss Institute for Biologically Inspired Engineering and School of Engineering and Applied Sciences, Harvard University, C.J Payne, Boston Children’s Hospital, Harvard Medical School, I Wamala, C Abah, T Thalhofer, M Saeed, D Bautista-Salinas, M.A Horvath, N.V Vasilyev, E.T Roche, F.A Pigula, and C.J Walsh. 2017. Wearable Soft Robotic Device Supports the Failing Heart in vivo. In 10th Hamlyn Symposium on Medical Robotics 2017. The Hamlyn Centre, Faculty of Engineering, Imperial College London, 37–38. https://doi.org/10.31256/HSMR2017.19Google ScholarGoogle ScholarCross RefCross Ref
  28. Takaichi Yanagida, Kazunori Adachi, Masato Yokojima, and Taro Nakamura. 2012. Development of a peristaltic crawling robot attached to a large intestine endoscope using bellows - type artificial rubber muscles. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2935–2940. https://doi.org/10.1109/IROS.2012.6385918 ISSN: 2153-0866.Google ScholarGoogle ScholarCross RefCross Ref
  29. Hong Kai Yap, Jeong Hoon Lim, Fatima Nasrallah, and Chen-Hua Yeow. 2017. Design and Preliminary Feasibility Study of a Soft Robotic Glove for Hand Function Assistance in Stroke Survivors. Frontiers in Neuroscience 11 (2017). https://doi.org/10.3389/fnins.2017.00547 Publisher: Frontiers.Google ScholarGoogle ScholarCross RefCross Ref

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          cover image ACM Conferences
          CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
          April 2023
          3914 pages
          ISBN:9781450394222
          DOI:10.1145/3544549

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