Embodied Auxetic Intelligence in a Glove‐Type Wearable Haptic Interface Connecting Humans to Robots and the Metaverse
Source abstract
Abstract
Abstract The versatility of fingers stems from their ability to interact with surroundings by taking poses, performing various grasping modes, and making dynamic bending motions. However, conventional glove‐type wearable interfaces often fail to fully engage the structural diversity and dynamic motions of fingers, providing tactile feedback to limited areas and restricting the full utilization of finger versatility for rich interactions. Here, a glove‐type auxetic wearable haptic (GAWH) interface that employs an auxetic meta‐design to offer embodied mechanical intelligence is introduced. This unique design ensures the positioning of haptic‐effective regions on all finger joints with high conformability, despite the variations in finger sizes among individuals. The GAWH delivers multimodal tactile feedback including static pressure, dynamic vibration, and variable stiffness with high spatial resolution to all joints. This enables users to interact with objects through diverse grasping modes and enhanced perception. Consequently, the GAWH provides real‐time meta‐linkage to virtual reality, allowing users to perform grasping tasks intuitively. Additionally, the GAWH facilitates interaction between humans and robots by enabling users to understand how robots feel during haptic‐assisted teleoperation. Overall, this work establishes a foundation for wearable haptic interfaces that can simultaneously enhance versatility, adaptability, and diversity, leveraging the full potential of the versatile fingers.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tactile and Sensory Interactions · Robot Manipulation and Learning · Teleoperation and Haptic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Creative Research Initiative for Functionally Antagonistic Nano‐Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology 291, Daehak‐ro, Yuseong‐gu Daejeon 34142 Republic of Korea
Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 South Korea
Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA
Funding
National Research Foundation of Korea
References (53)
Show source-provided references
1. 10.1126/science.abd364310.1126/science.abd3643 ↗
2. Erp J. B. F. · Front. Digit. Humanit. · 2015 · 2
3. 10.1126/sciadv.abl670010.1126/sciadv.abl6700 ↗
4. 10.1038/s41467-024-45059-810.1038/s41467-024-45059-8 ↗
5. 10.1038/s42256-023-00780-910.1038/s42256-023-00780-9 ↗
6. 10.1038/s41467-022-32745-810.1038/s41467-022-32745-8 ↗
7. 10.1002/adfm.20200893610.1002/adfm.202008936 ↗
8. 10.1002/aisy.20200015710.1002/aisy.202000157 ↗
9. 10.1126/sciadv.abj922010.1126/sciadv.abj9220 ↗
10. 10.1016/j.bios.2021.11344310.1016/j.bios.2021.113443 ↗
11. 10.1126/sciadv.abb830810.1126/sciadv.abb8308 ↗
12. 10.1021/acs.chemrev.1c0050210.1021/acs.chemrev.1c00502 ↗
13. 10.1016/j.nanoen.2020.10529510.1016/j.nanoen.2020.105295 ↗
14. 10.1002/adfm.20200936410.1002/adfm.202009364 ↗
15. 10.3390/robotics902002110.3390/robotics9020021 ↗
16. 10.1126/scirobotics.abe131510.1126/scirobotics.abe1315 ↗
17. 10.1126/sciadv.aaz869310.1126/sciadv.aaz8693 ↗
18. Kim J. · Biosens. Bioelectron. · 2023 · 14
19. 10.1002/adfm.20200742810.1002/adfm.202007428 ↗
20. 10.1109/ACCESS.2022.320298610.1109/ACCESS.2022.3202986 ↗
21. 10.1109/TOH.2017.267296910.1109/TOH.2017.2672969 ↗
22. 10.1109/TRO.2008.92156110.1109/TRO.2008.921561 ↗
23. 10.1038/s41467-022-31893-110.1038/s41467-022-31893-1 ↗
24. 10.3389/frvir.2021.73861310.3389/frvir.2021.738613 ↗
25. 10.1089/soro.2019.001310.1089/soro.2019.0013 ↗
26. 10.1098/rsos.17032110.1098/rsos.170321 ↗
27. Purnendu J.Hartcher‐O'Brien V.Mehta N.Colonnese A.Gupta C. J.Bruns P.Agarwal in2023 IEEE World Haptics Conference (WHC)2023 pp.299–305.10.1109/WHC56415.2023.10224383 ↗
28. 10.1038/s41528-022-00235-y10.1038/s41528-022-00235-y ↗
29. Z.Zhakypov A. M.Okamura in2022 IEEE 5th Int. Conf. on Soft Robotics (RoboSoft) IEEE Edinburgh UK 2022 pp.938–944.
30. Y.Tanaka A.Shen A.Kong P.Lopes inProceedings of the 2023 CHI Conf. on Human Factors in Computing Systems Association For Computing Machinery New York NY USA 2023 pp.1–15.10.1145/3544548.3581382 ↗
31. 10.1002/adfm.20200663910.1002/adfm.202006639 ↗
32. 10.1126/sciadv.abp873810.1126/sciadv.abp8738 ↗
33. 10.1126/scirobotics.adk392510.1126/scirobotics.adk3925 ↗
34. 10.1002/adma.20230444210.1002/adma.202304442 ↗
35. 10.1126/sciadv.aax621210.1126/sciadv.aax6212 ↗
36. S. B.Schorr A. M.Okamura presented atProceedings of the 2017 CHI Conf. on Human Factors in Computing Systems ACM Denver Colorado USA2017 pp.3115–3119.10.1145/3025453.3025744 ↗
37. D.Leonardis M.Solazzi I.Bortone A.Frisoli in2015 IEEE World Haptics Conference (WHC)2015 pp.388–393.10.1109/WHC.2015.7177743 ↗
38. 10.1109/HAPTIC.2010.544464610.1109/HAPTIC.2010.5444646 ↗
39. 10.1109/ACCESS.2021.305897910.1109/ACCESS.2021.3058979 ↗
40. 10.1109/TOH.2018.280590110.1109/TOH.2018.2805901 ↗
41. 10.1109/TRO.2008.92156110.1109/TRO.2008.921561 ↗
42. 10.1109/TOH.2023.327263510.1109/TOH.2023.3272635 ↗
43. 10.1109/TOH.2019.294315410.1109/TOH.2019.2943154 ↗
44. 10.1038/s42256-022-00543-y10.1038/s42256-022-00543-y ↗
45. 10.1109/TOH.2019.290863610.1109/TOH.2019.2908636 ↗
46. 10.1007/s10846-016-0392-610.1007/s10846-016-0392-6 ↗
47. 10.1002/advs.20230104410.1002/advs.202301044 ↗
48. 10.1002/aisy.20220017410.1002/aisy.202200174 ↗
49. I.Choi E. W.Hawkes D. L.Christensen C. J.Ploch S.Follmer in2016 IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS) IEEE Daejeon South Korea 2016 pp.986–993.10.1109/IROS.2016.7759169 ↗
50. 10.1038/s42256-023-00728-z10.1038/s42256-023-00728-z ↗
51. 10.1038/srep2111810.1038/srep21118 ↗
52. 10.1002/adma.20220851710.1002/adma.202208517 ↗
53. R.Desatnik M.Khrenov Z.Manchester P.LeDuc C.Majidi in2024 IEEE 7th Int. Conf. Soft Robot. (RoboSoft) San Diego California USA2024 pp.48–54.10.1109/RoboSoft60065.2024.10521965 ↗