Materials that couple sensing, actuation, computation, and communication

Science

Volumn 347, Issue 6228, 2015, Pages

  McEvoy, M A ^a   Correll, N ^a  

^a UCB 450   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALLOY; COPPER; ELASTOMER; POLYMER; BIOMIMETIC MATERIAL;

AERODYNAMICS; ALGORITHM; COMMUNICATION; ROBOTICS;

ACCELEROMETER; ACTUATOR; ALGORITHM; ANALYTICAL EQUIPMENT; ARTIFICIAL SKIN; COMMUNICATION PROTOCOL; COMPOSITE MATERIAL; COMPUTER; COMPUTER NETWORK; ELECTRONIC SENSOR; FEEDBACK SYSTEM; GEOMETRY; HUMAN; MATERIALS; MATHEMATICS; MICROELECTROMECHANICAL SYSTEM; NONHUMAN; PHYSICS; PRIORITY JOURNAL; REVIEW; ROBOTIC MATERIAL; ROBOTICS; SIGNAL PROCESSING; THERMISTOR; ANIMAL; BIOENGINEERING; BIONICS; INTERDISCIPLINARY EDUCATION; INTERPERSONAL COMMUNICATION;

ANIMALS; BIOENGINEERING; BIOMIMETIC MATERIALS; BIONICS; COMMUNICATION; HUMANS; INTERDISCIPLINARY STUDIES; ROBOTICS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84925273896     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.1261689     Document Type: Review

References (96)

1. M. Stevens, S. Merilaita, Animal camouflage: Current issues and new perspectives. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364, 423-427 (2009). doi: 10.1098/rstb.2008.0217; pmid: 18990674
2. V. M. Shalaev et al., Negative index of refraction in optical metamaterials. Opt. Lett. 30, 3356-3358 (2005). doi: 10.1364/OL.30.003356; pmid: 16389830
3. U. Leonhardt, Metamaterials: Towards invisibility in the visible. Nat. Mater. 8, 537-538 (2009). doi: 10.1038/nmat2472; pmid: 19543308
4. S. A. Morin et al., Camouflage and display for soft machines. Science 337, 828-832 (2012). doi: 10.1126/science.1222149; pmid: 22904008
5. C. Thill, J. Etches, I. Bond, K. Potter, P. Weaver, Morphing skins. Aeronaut. J. 112, 117 (2008).
6. S. Barbarino, O. Bilgen, R. M. Ajaj, M. I. Friswell, D. J. Inman, A review of morphing aircraft. J. Intell. Mater. Syst. Struct. 22, 823-877 (2011). doi: 10.1177/1045389X11414084
7. S. Vasista, L. Tong, K. Wong, Realization of morphing wings: A multidisciplinary challenge. J. Aircr. 49, 11-28 (2012). doi: 10.2514/1.C031060
8. T. A. Weisshaar, Morphing aircraft systems: Historical perspectives and future challenges. J. Aircr. 50, 337-353 (2013). doi: 10.2514/1.C031456
9. D. Adams, Health Monitoring of Structural Materials and Components: Methods with Applications (Wiley, 2007).
10. B. Blaiszik et al., Self-healing polymers and composites. Annu. Rev. Mater. Res. 40, 179-211 (2010). doi: 10.1146/annurev-matsci-070909-104532
11. R. S. Dahiya, G. Metta, M. Valle, G. Sandini, Tactile sensing - from humans to humanoids, IEEE Trans. Robotics 26, 1 (2010). doi: 10.1109/TRO.2009.2033627
12. N. Farrow, N. Sivagnanadasan, N. Correll, Gesture based distributed user interaction system for a reconfigurable self-organizing smart wall. Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction (Association for Computing Machinery, New York, 2014), pp. 245-246. doi: 10.1145/2540930.2540967
13. H. Profita, N. Farrow, N. Correll, Flutter: An exploration of an assistive garment using distributed sensing, computation and actuation. Proceedings of the 9th International Conference on Tangible, Embedded and Embodied Interaction (Association for Computing Machinery, New York, USA, 2015), pp. 359-362. doi: 10.1145/2677199.2680586
14. M. A. McEvoy, N. Correll, "Shape change through programmable stiffness," International Symposium on Experimental Robotics (ISER), Marrakech, Morocco, 2014.
15. D. Hughes, N. Correll, "A soft, amorphous skin that can sense and localize texture," IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014. doi: 10.1109/ICRA.2014.6907101
16. A. A. Berlin, K. J. Gabriel, Distributed MEMS: New challenges for computation. IEEE Comput. Science Eng. 4, 12-16 (1997). doi: 10.1109/99.590851
17. S. C. Goldstein, J. D. Campbell, T. C. Mowry, Programmable matter. Computer 38, 99-101 (2005). doi: 10.1109/MC.2005.198
18. H. Abelson et al., Amorphous computing. Commun. ACM 43, 74-82 (2000). doi: 10.1145/332833.332842
19. W. Butera, Text display and graphics control on a paintable computer, self-adaptive and self-organizing systems. First International Conference on Self-Adaptive and Self-Organizing Systems. SASO'07 (IEEE, New York, 2007), pp. 45-54. doi: 10.1109/SASO.2007.60
20. S. Basu, Y. Gerchman, C. H. Collins, F. H. Arnold, R. Weiss, A synthetic multicellular system for programmed pattern formation. Nature 434, 1130-1134 (2005). doi: 10.1038/nature03461; pmid: 15858574
21. M. Yim et al., Modular self-reconfigurable robot systems. IEEE Robotics & Automation Magazine 14, 43-52 (2007). doi: 10.1109/MRA.2007.339623
22. C.-H. Yu, F.-X. Willems, D. Ingber, R. Nagpal, Self-organization of environmentally-adaptive shapes on a modular robot. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE, New York, 2007), pp. 2353-2360. doi: 10.1109/IROS.2007.4399491
23. P. Levis et al., in TinyOS: An Operating System for Sensor Networks, Ambient Intelligence (Springer, Berlin, 2005), pp. 115-148. doi: 10.1007/3-540-27139-2-7
24. H. Ishii, B. Ullmer, Tangible bits: Towards seamless interfaces between people, bits and atoms. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (Association of Computing Machinery, New York, 1997), pp. 234-241. doi: 10.1145/258549.258715
25. H. Ishii, D. Lakatos, L. Bonanni, J.-B. Labrune, Radical atoms: Beyond tangible bits, toward transformable materials. Interaction 19, 38 (2012). doi: 10.1145/2065327.2065337
26. J. Lifton, D. Seetharam, M. Broxton, J. Paradiso, Pushpin Computing System Overview: A Platform for Distributed, Embedded, Ubiquitous Sensor Networks, Pervasive Computing (Springer, 2002), pp. 139-151. doi: 10.1007/3-540-45866-2-12
27. th International Conference on Tangible, Embedded and Embodied Interaction (Association of Computing Machinery, New York, 2014), pp. 65-72. doi: 10.1145/2540930.2540971
28. D. Leithinger, S. Follmer, A. Olwal, H. Ishii, Physical telepresence: Shape capture and display for embodied, computer-mediated remote collaboration. Proceedings of the 27th annual ACM symposium on User Interface Software and Technology (Association of Computing Machinery, New York, 2014), pp. 461-470. doi: 10.1145/2642918.2647377
29. R. Niiyama, L. Yao, H. Ishii, Weight and volume changing device with liquid metal transfer. Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction (Association of Computing Machinery, New York, 2014), pp. 49-52. doi: 10.1145/2540930.2540953
30. R. F. Gibson, A review of recent research on mechanics of multifunctional composite materials and structures. Compos. Struct. 92, 2793-2810 (2010). doi: 10.1016/j.compstruct.2010.05.003
31. J. M. Kahn, R. H. Katz, K. S. Pister, Next century challenges: Mobile networking for "Smart Dust." Proceedings of the 5th annual ACM/IEEE International Conference on Mobile computing and Networking (Association of Computing Machinery, New York, 1999), pp. 271-278. doi: 10.1145/313451.313558
32. R. M. Walser, Electromagnetic metamaterials. Proc. SPIE 4467, Complex Mediums II: Beyond Linear Isotropic Dielectrics (San Diego, CA, 2001), pp. 1-15 (2001). doi: 10.1117/12.432921
33. N. Franceschini, J.-M. Pichon, C. Blanes, J. Brady, From insect vision to robot vision. Philos. Trans. R. Soc. Lond. B Biol. Sci. 337, 283-294 (1992). doi: 10.1098/rstb.1992.0106
34. R. Pfeifer, F. Iida, Morphological computation: Connecting body, brain and environment. Japanese Scientific Monthly 58, 48 (2005). doi: 10.1007/978-3-642-00616-6-5
35. X. Sheng, Y.-H. Hu, Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. IEEE Trans. Signal Processing 53, 44-53 (2005). doi: 10.1109/TSP.2004.838930
36. M. N. Ghasemi-Nejhad, R. Russ, S. Pourjalali, Manufacturing and testing of active composite panels with embedded piezoelectric sensors and actuators. J. Intell. Mater. Syst. Struct. 16, 319-333 (2005). doi: 10.1177/1045389X05050103
37. S. Jang et al., Structural health monitoring of a cable-stayed bridge using smart sensor technology: Deployment and evaluation. Smart Structures and Systems 6, 439-459 (2010). doi: 10.12989/sss.2010.6.5-6.439
38. J.-B. Ihn, F.-K. Chang, Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Mater. Struct. 13, 609-620 (2004). doi: 10.1088/0964-1726/13/3/020
39. X. Zhao et al., Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring. Smart Mater. Struct. 16, 1208-1217 (2007). doi: 10.1088/0964-1726/16/4/032
40. X. Zhao et al., Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches. Smart Mater. Struct. 16, 1218-1225 (2007). doi: 10.1088/0964-1726/16/4/033
41. T. Someya et al., Conformable, flexible, large-area networks of pressure and thermal sensors with organic transistor active matrixes. Proc. Natl. Acad. Sci. U.S.A. 102, 12321-12325 (2005). doi: 10.1073/pnas.0502392102; pmid: 16107541
42. M. A. McEvoy, N. Correll, Thermoplastic variable stiffness composites with embedded, networked sensing, actuation, and control. J. Composite Mater. doi: 10.1177/0021998314525982 (2014).
43. Y.-L. Park, C. Majidi, R. Kramer, P. Bérard, R. J. Wood, Hyperelastic pressure sensing with a liquid-embedded elastomer. J. Micromech. Microeng. 20, 125029 (2010). doi: 10.1088/0960-1317/20/12/125029
44. H. Z. Tan, L. A. Slivovsky, A. Pentland, A sensing chair using pressure distribution sensors. IEEE/ASME Trans. Mechatronics 6, 261 (2001). doi: 10.1109/3516.951364
45. J. Zhou et al., Flexible piezotronic strain sensor. Nano Lett. 8, 3035-3040 (2008). doi: 10.1021/nl802367t; pmid: 18707178
46. T. Yamada et al., A stretchable carbon nanotube strain sensor for human-motion detection. Nat. Nanotechnol. 6, 296-301 (2011). doi: 10.1038/nnano.2011.36; pmid: 21441912
47. C. Majidi, R. Kramer, R. Wood, A non-differential elastomer curvature sensor for softer-than-skin electronics. Smart Mater. Struct. 20, 105017 (2011). doi: 10.1088/0964-1726/20/10/105017
48. F. Gandhi, S.-G. Kang, Beams with controllable flexural stiffness. Smart Mater. Struct. 16, 1179-1184 (2007). doi: 10.1088/0964-1726/16/4/028
49. G. Murray, F. Gandhi, Multi-layered controllable stiffness beams for morphing: Energy, actuation force, and material strain considerations. Smart Mater. Struct. 19, 045002 (2010). doi: 10.1088/0964-1726/19/4/045002
50. G. McKnight, C. Henry, "Variable stiffness materials for reconfigurable surface applications," Proc. SPIE 5761 Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics (20 May 2005), pp. 119-126. doi: 10.1117/12.601495
51. G. Mcknight, R. Doty, A. Keefe, G. Herrera, C. Henry, Segmented reinforcement variable stiffness materials for reconfigurable surfaces. J. Intell. Mater. Syst. Struct. 21, 1783-1793 (2010). doi: 10.1177/1045389X10386399
52. Q. Meng, J. Hu, A review of shape memory polymer composites and blends. Compos., Part A Appl. Sci. Manuf. 40, 1661-1672 (2009). doi: 10.1016/j.compositesa.2009.08.011
53. E. Brown et al., Universal robotic gripper based on the jamming of granular material. Proc. Natl. Acad. Sci. U.S.A. 107, 18809-18814 (2010). doi: 10.1073/pnas.1003250107
54. C. S. Haines et al., Artificial muscles from fishing line and sewing thread. Science 343, 868-872 (2014). doi: 10.1126/science.1246906; pmid: 24558156
55. A. Nespoli, S. Besseghini, S. Pittaccio, E. Villa, S. Viscuso, The high potential of shape memory alloys in developing miniature mechanical devices: A review on shape memory alloy mini-actuators. Sens. Actuators A Phys. 158, 149-160 (2010). doi: 10.1016/j.sna.2009.12.020
56. S. J. Furst, G. Bunget, S. Seelecke, Design and fabrication of a bat-inspired flapping-flight platform using shape memory alloy muscles and joints. Smart Mater. Struct. 22, 014011 (2013). doi: 10.1088/0964-1726/22/1/014011
57. C. D. Onal, R. J. Wood, D. Rus, Towards printable robotics: Origami-inspired planar fabrication of three-dimensional mechanisms. IEEE International Conference on Robotics and Automation (IEEE, New York, 2011), pp. 4608-4613. doi: 10.1109/ICRA.2011.5980139
58. G. K. Klute, J. M. Czerniecki, B. Hannaford, McKibben artificial muscles: Pneumatic actuators with biomechanical intelligence. Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (IEEE, New York, 1999), pp. 221-226. doi: 10.1109/AIM.1999.803170
59. K. Takashima, J. Rossiter, T. Mukai, McKibben artificial muscle using shape-memory polymer. Sens. Actuators A Phys. 164, 116-124 (2010). doi: 10.1016/j.sna.2010.09.010
60. M. De Volder, D. Reynaerts, Pneumatic and hydraulic microactuators: A review. J. Micromech. Microeng. 20, 043001 (2010). doi: 10.1088/0960-1317/20/4/043001
61. R. F. Shepherd et al., Multigait soft robot. Proc. Natl. Acad. Sci. U.S.A. 108, 20400-20403 (2011). doi: 10.1073/pnas.1116564108; pmid: 22123978
62. N. Correll, C. D. Onal, H. Liang, E. Schoenfeld, D. Rus, Soft autonomous materials - Using active elasticity and embedded distributed computation. 12th International Symposium on Experimental Robotics, Springer Tracts in Advanced Robotics (2014), vol. 79, pp. 227-240. doi: 10.1007/978-3-642-28572-1-16
63. A. D. Marchese, K. Konrad, C. D. Onal, D. Rus, Design, curvature control, and autonomous positioning of a soft and highly compliant 2D robotic manipulator. IEEE International Conference on Robotics and Automation (IEEE, New York, 2014). doi: 10.1109/ICRA.2014.6907161
64. R. K. Katzschmann, A. D. Marchese, D. Rus, "Hydraulic autonomous soft robotic fish for 3D swimming," International Symposium on Experimental Robotics (ISER), Marrakech, Morocco, 2014.
65. K. Yoshida, K. Kamiyama, J.-Kim, S. Yokota, An intelligent microactuator robust against disturbance using electro-rheological fluid. Sens. Actuators A Phys. 175, 101-107 (2012). doi: 10.1016/j.sna.2011.12.049
66. K. A. Shaikh, S. Li, C. Liu, Development of a latchable microvalve employing a low-melting-temperature metal alloy. J. Microelectromech. Syst. 17, 1195-1203 (2008). doi: 10.1109/JMEMS.2008.2003055
67. G. N. Greaves, A. L. Greer, R. S. Lakes, T. Rouxel, Poisson's ratio and modern materials. Nat. Mater. 10, 823-837 (2011). doi: 10.1038/nmat3134; pmid: 22020006
68. C. Henry, G. McKnight, Cellular variable stiffness materials for ultra-large reversible deformations in reconfigurable structures. Proc. SPIE, Smart Structures and Materials 2006: Active Materials: Behavior and Mechanics (2006), vol. 6170, p. 12. doi: 10.1117/12.659633
69. J. Suomela, Survey of local algorithms. ACM Comput. Surv. 45, 24 (2013). doi: 10.1145/2431211.2431223
70. M. Duckham, Decentralized Spatial Computing: Foundations of Geosensor Setworks (Springer, Berlin, 2012).
71. rd International Conference on Embedded networked Sensor systems (Association of Computing Machinery, New York, 2005), pp. 142-153. doi: 10.1145/1098918.1098934
72. J. Beal et al., in Formal and Practical Aspects of Domain-Specific Languages: Recent Developments (IGI Global, 2012), pp. 436-501. doi: 10.4018/978-1-4666-2092-6.ch016
73. S. Tilak, N. B. Abu-Ghazaleh, W. Heinzelman, A taxonomy of wireless micro-sensor network models. Mob. Comput. Commun. Rev. 6, 28-36 (2002). doi: 10.1145/565702.565708
74. J. N. Al-Karaki, A. E. Kamal, Routing techniques in wireless sensor networks: A survey. IEEE Wireless Commun. 11, 6 (2004). doi: 10.1109/MWC.2004.1368893
75. P. Santi, Topology control in wireless ad hoc and sensor networks. ACM Comput. Surv. 37, 164 (2005). doi: 10.1145/1089733.1089736
76. C. Intanagonwiwat, D. Estrin, R. Govindan, J. Heidemann, Impact of network density on data aggregation in wireless sensor networks. Proceedings of the 22nd International Conference on Distributed Computing Systems (IEEE, New York, 2002), pp. 457-458. doi: 10.1109/ICDCS.2002.1022289
77. T. He, J. A. Stankovic, C. Lu, T. Abdelzaher, SPEED: A stateless protocol for real-time communication in sensor networks. Proceedings. 23rd International Conference on Distributed Computing Systems (IEEE, New York, 2003), pp. 46-55. doi: 10.1109/ICDCS.2003.1203451
78. S. Ma, H. Hosseinmardi, N. Farrow, R. Han, N. Correll, Establishing multi-cast groups in computational robotic materials. IEEE International Conference on Cyber, Physical and Social Computing (IEEE, New York, 2012), pp. 311-316. doi: 10.1109/GreenCom.2012.74
79. H. Hosseinmardi, N. Correll, R. Han, Bloom Filter-Based Ad Hoc Multicast Communication in Cyber-Physical Systems and Computational Materials, Wireless Algorithms, Systems, and Applications (Springer, 2012), pp. 595-606. doi: 10.1007/978-3-642-31869-6-52
80. C. Budelmann, B. Krieg-Brückner, From sensorial to smart materials: Intelligent optical sensor network for embedded applications. J. Intell. Mater. Syst. Struct. 24, 2183-2188 (2013). doi: 10.1177/1045389X12462647
81. G. Lanzara, N. Salowitz, Z. Guo, F.-K. Chang, A spider-web-like highly expandable sensor network for multifunctional materials. Adv. Mater. 22, 4643-4648 (2010). doi: 10.1002/adma.201000661; pmid: 20824665
82. N. Salowitz et al., Biol.-inspired stretchable network-based intelligent composites. J. Composite Mater. 47, 97-105 (2012). doi: 10.1177/0021998312442900
83. P. J. Skabara, N. J. Findlay, Polymer Electronics. Oxford Master Series in Physics 22. By Mark Geoghegan and Georges Hadziioannou. (Wiley Online Library, 2014). doi: 10.1002/anie.201310074
84. A. Teichler, J. Perelaer, U. S. Schubert, Inkjet printing of organic electronics-comparison of deposition techniques and state-of-the-art developments. J. Mater. Chem. C 1, 1910 (2013). doi: 10.1039/c2tc00255h
85. Y. Menguc et al., Wearable soft sensing suit for human gait measurement. Int. J. Robot. Res. 33, 1748-1764 (2014). doi: 10.1177/0278364914543793
86. A. Islam, H. N. Hansen, P. T. Tang, J. Sun, Process chains for the manufacturing of molded interconnect devices. Int. J. Adv. Manuf. Technol. 42, 831-841 (2009). doi: 10.1007/s00170- 008-1660-9
87. R. Merz, F. Prinz, K. Ramaswami, M. Terk, L. Weiss, Shape Deposition Manufacturing (Engineering Design Research Center, Carnegie Mellon Univ., Pittsburgh, PA, 1994).
88. S. J. Leigh, R. J. Bradley, C. P. Purssell, D. R. Billson, D. A. Hutchins, A simple, low-cost conductive composite material for 3D printing of electronic sensors. PLOS ONE 7, e49365 (2012). doi: 10.1371/journal.pone.0049365; pmid: 23185319
89. K. Y. Ma, P. Chirarattananon, S. B. Fuller, R. J. Wood, Controlled flight of a biologically inspired, insect-scale robot. Science 340, 603-607 (2013). doi: 10.1126/science.1231806; pmid: 23641114
90. J. E. Marsden, G. W. Patrick, S. Shkoller, Multisymplectic geometry, variational integrators, and nonlinear PDEs. Commun. Math. Phys. 199, 351-395 (1998). doi: 10.1007/s002200050505
91. E. R. Johnson, T. D. Murphey, Scalable variational integrators for constrained mechanical systems in generalized coordinates, IEEE Trans. Robotics 25, 1249 (2009). doi: 10.1109/TRO.2009.2032955
92. T. Toffoli, N. Margolus, Programmable matter: Concepts and realization. Physica D 47, 263-272 (1991). doi: 10.1016/0167-2789(91)90296-L
93. R. D'Andrea, G. E. Dullerud, Distributed control design for spatially interconnected systems, IEEE Trans. Automatic Control 48, 1478 (2003). doi: 10.1109/TAC.2003.816954
94. C. Langbort, R. S. Chandra, R. D'Andrea, Distributed control design for systems interconnected over an arbitrary graph, IEEE Trans. Automatic Control 49, 1502 (2004). doi: 10.1109/TAC.2004.834123
95. R. Scattolini, Architectures for distributed and hierarchical model predictive control-a review. J. Process Contr. 19, 723-731 (2009). doi: 10.1016/j.jprocont.2009.02.003
96. A. Hofstein, V. N. Lunetta, The laboratory in science education: Foundations for the twenty-first century. Sci. Educ. 88, 28-54 (2004). doi: 10.1002/sce.10106