Lifetime-configurable soft robots via photodegradable silicone elastomer composites

Developing soft robots that can control their own life-cycle and degrade on-demand while maintaining hyper-elasticity is a significant research challenge. On-demand degradable soft robots, which conserve their original functionality during operation and rapidly degrade under specific external stimulation, present the opportunity to self-direct the disappearance of temporary robots. This study proposes soft robots and materials that exhibit excellent mechanical stretchability and can degrade under ultraviolet (UV) light by mixing a fluoride-generating diphenyliodonium hexafluorophosphate (DPI-HFP) with a silicone resin. Spectroscopic analysis revealed the mechanism of Si-O-Si backbone cleavage using fluoride ion (F-), which was generated from UV exposed DPI-HFP. Furthermore, photo-differential scanning calorimetry (DSC) based thermal analysis indicated increased decomposition kinetics at increased temperatures. Additionally, we demonstrated a robotics application of this composite by fabricating a gaiting robot. The integration of soft electronics, including strain sensors, temperature sensors, and photodetectors, expanded the robotic functionalities. This study provides a simple yet novel strategy for designing lifecycle mimicking soft robotics that can be applied to reduce soft robotics waste, explore hazardous areas where retrieval of robots is impossible, and ensure hardware security with on-demand destructive material platforms.

[1]  A. Skov,et al.  One reaction to make highly stretchable or extremely soft silicone elastomers from easily available materials , 2022, Nature communications.

[2]  D. Shabat,et al.  Self-Immolative Polymers: An Emerging Class of Degradable Materials with Distinct Disassembly Profiles , 2021, Journal of the American Chemical Society.

[3]  Shu Zhu,et al.  A self-healing composite actuator for multifunctional soft robot via photo-welding , 2021 .

[4]  Jeong-Yun Sun,et al.  Biodegradable Metallic Glass for Stretchable Transient Electronics , 2021, Advanced science.

[5]  J. Furgal,et al.  Full Circle Recycling of Polysiloxanes via Room-Temperature Fluoride-Catalyzed Depolymerization to Repolymerizable Cyclics , 2021 .

[6]  M. Kaltenbrunner,et al.  Becoming Sustainable, The New Frontier in Soft Robotics , 2020, Advanced materials.

[7]  John A. Rogers,et al.  Advances in Physicochemically Stimuli-Responsive Materials for On-Demand Transient Electronic Systems , 2020 .

[8]  E. Gillies,et al.  The architectural evolution of self-immolative polymers , 2020 .

[9]  M. Kaltenbrunner,et al.  Resilient yet entirely degradable gelatin-based biogels for soft robots and electronics , 2020, Nature Materials.

[10]  Yufeng Xiao,et al.  Autonomous Search of Radioactive Sources through Mobile Robots , 2020, Sensors.

[11]  Cecilia Laschi,et al.  A vision for future bioinspired and biohybrid robots , 2020, Science Robotics.

[12]  A. Spence,et al.  Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots , 2018, Science Advances.

[13]  Wim M van Rees,et al.  Shape-shifting structured lattices via multimaterial 4D printing , 2019, Proceedings of the National Academy of Sciences.

[14]  C. A. Aubin,et al.  Electrolytic vascular systems for energy-dense robots , 2019, Nature.

[15]  Anne Ladegaard Skov,et al.  How to tailor flexible silicone elastomers with mechanical integrity: a tutorial review. , 2019, Chemical Society reviews.

[16]  R. Laine,et al.  Facile Approach to Recycling Highly Cross-Linked Thermoset Silicone Resins under Ambient Conditions , 2019, ACS omega.

[17]  Sung‐Seen Choi,et al.  Analytical Techniques for Measurement of Crosslink Densities of Rubber Vulcanizates , 2019 .

[18]  G. Whitesides Soft Robotics. , 2018, Angewandte Chemie.

[19]  P. E. Sánchez-Jiménez,et al.  Combined kinetic analysis of multistep processes of thermal decomposition of polydimethylsiloxane silicone , 2018, Polymer.

[20]  Daniela Rus,et al.  Exploration of underwater life with an acoustically controlled soft robotic fish , 2018, Science Robotics.

[21]  Yonghua Chen,et al.  Principles and methods for stiffness modulation in soft robot design and development , 2018 .

[22]  J. H. Dellinger,et al.  The Temperature Coefficient of Resistance of Copper , 2018 .

[23]  R. A. Campbell,et al.  Determination of cyclic volatile methylsiloxanes in personal care products by gas chromatography , 2017, International journal of cosmetic science.

[24]  Ali Sadeghi,et al.  Toward Self-Growing Soft Robots Inspired by Plant Roots and Based on Additive Manufacturing Technologies , 2017, Soft robotics.

[25]  Bram Vanderborght,et al.  Self-healing soft pneumatic robots , 2017, Science Robotics.

[26]  N. Nguyen,et al.  Thermoresistive Effect for Advanced Thermal Sensors: Fundamentals, Design Considerations, and Applications , 2017, Journal of Microelectromechanical Systems.

[27]  Stephen A. Morin,et al.  Soft Robotics: Review of Fluid‐Driven Intrinsically Soft Devices; Manufacturing, Sensing, Control, and Applications in Human‐Robot Interaction   , 2017 .

[28]  Y. Sano,et al.  Chemical etching of silicon carbide in pure water by using platinum catalyst. , 2017, Applied physics letters.

[29]  Cindy Grimm,et al.  Using an environmentally benign and degradable elastomer in soft robotics , 2017, International Journal of Intelligent Robotics and Applications.

[30]  KovačMirko,et al.  The Bioinspiration Design Paradigm: A Perspective for Soft Robotics , 2014 .

[31]  B. Mazzolai,et al.  A Novel Growing Device Inspired by Plant Root Soil Penetration Behaviors , 2014, PloS one.

[32]  M. Sailor Chemical Reactivity and Surface Chemistry of Porous Silicon , 2014 .

[33]  Joshua A. Kaitz,et al.  End group characterization of poly(phthalaldehyde): surprising discovery of a reversible, cationic macrocyclization mechanism. , 2013, Journal of the American Chemical Society.

[34]  Michael R. Kessler,et al.  Cure kinetics characterization and monitoring of an epoxy resin using DSC, Raman spectroscopy, and DEA , 2013 .

[35]  C. Majidi Soft Robotics: A Perspective—Current Trends and Prospects for the Future , 2014 .

[36]  Giovanni Muscato,et al.  Volcanic Environments: Robots for Exploration and Measurement , 2012, IEEE Robotics & Automation Magazine.

[37]  W. Kern,et al.  UV induced microcellular foaming—A new approach towards the production of 3D structures in offset printing techniques , 2012 .

[38]  Alan K. Burnham,et al.  ICTAC Kinetics Committee recommendations for performing kinetic computations on thermal analysis data , 2011 .

[39]  S. Rananavare,et al.  Copper Thin-Film Dissolution/Precipitation Kinetics in Organic HF Containing Cleaning Solution , 2010 .

[40]  D. Cotton,et al.  A Multifunctional Capacitive Sensor for Stretchable Electronic Skins , 2009, IEEE Sensors Journal.

[41]  Cameron Alexander,et al.  Self-immolative polymers. , 2008, Angewandte Chemie.

[42]  Y. Mai,et al.  Effects of particle size, particle/matrix interface adhesion and particle loading on mechanical properties of particulate–polymer composites , 2008 .

[43]  Hidekazu Mimura,et al.  Novel abrasive-free planarization of 4H-SiC (0001) using catalyst , 2006 .

[44]  Y. Yagcı,et al.  Photoinduced Polymerization of Thiophene Using Iodonium Salt , 2005 .

[45]  E. Griessbach,et al.  Degradation of polydimethylsiloxane fluids in the environment--a review. , 1999, Chemosphere.

[46]  Y. Yagcı,et al.  Externally stimulated initiator systems for cationic polymerization , 1998 .

[47]  Shihe Xu,et al.  Degradation of Polydimethylsiloxanes (Silicones) as Influenced by Clay Minerals , 1998 .

[48]  Nigel P. Hacker,et al.  Photochemistry of diaryliodonium salts , 1990 .

[49]  D. Davidson,et al.  The Hydrate of Hexafluorophosphoric Acid , 1972 .