PiezoClimber: Versatile and Self‐Transitional Climbing Soft Robot with Bioinspired Highly Directional Footpads
Source abstract
Abstract
Abstract The ability to climb is crucial for terrestrial robots to expand their scope of application with improved navigation capacity. While some soft climbing devices are available, they often lack versatility when it comes to adapting to rough surfaces and changes in terrains. In this regard, a piezo‐based soft robot with bioinspired footpads has been developed that can deliver superior climbing performance. Through their unprecedented directional friction, these footpads enable the robot to complete rigorous climbing tasks on surfaces with a climbing angle of 0–180° and a variety of roughness from ultra‐smooth to millimeter‐scale. With a unique slide‐swing gait, the robot is able to complete fast climbing on a 90° substrate at a speed of 1.4 body lengths per second (BL/s) and self‐transitional climbing on surfaces with a roughness difference of 11 µm and an angle change of 60° in 5 s without active control. A scaled down version of this climber is also presented with increased mobility to traverse steps of 3 body heights and slits of 0.75 BH effectively. In summary, the development of this soft robot with highly directional footpads paves the way for soft robots to navigate varied surfaces and ascend challenging terrains with improved mobility.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Adhesion, Friction, and Surface Interactions · Soft Robotics and Applications · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shenzhen International Graduate School Tsinghua University Shenzhen 518055 China
Funding
Shenzhen Fundamental Research Program
References (44)
Show source-provided references
1. 10.1038/3501507310.1038/35015073 ↗
2. 10.1073/pnas.060884110310.1073/pnas.0608841103 ↗
3. 10.1093/icb/42.6.108110.1093/icb/42.6.1081 ↗
4. 10.1242/jeb.155.1.10310.1242/jeb.155.1.103 ↗
5. 10.1007/s00359-006-0151-410.1007/s00359-006-0151-4 ↗
6. 10.1098/rspb.2016.286710.1098/rspb.2016.2867 ↗
7. 10.1098/rspb.1932.006110.1098/rspb.1932.0061 ↗
8. 10.1126/scirobotics.aat287410.1126/scirobotics.aat2874 ↗
9. 10.1126/scirobotics.aau303810.1126/scirobotics.aau3038 ↗
10. 10.1089/soro.2018.011510.1089/soro.2018.0115 ↗
11. 10.1002/aisy.20210000110.1002/aisy.202100001 ↗
12. 10.1016/S1672-6529(14)60096-210.1016/S1672-6529(14)60096-2 ↗
13. S.Wang H.Jiang M. R.Cutkosky presented atIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2016 52.10.1109/IROS.2016.7759034 ↗
14. 10.1109/LRA.2018.279451710.1109/LRA.2018.2794517 ↗
15. 10.1038/nature2544310.1038/nature25443 ↗
16. 10.1126/sciadv.abn343110.1126/sciadv.abn3431 ↗
17. 10.1126/scirobotics.aar755510.1126/scirobotics.aar7555 ↗
18. 10.1002/adfm.20190782010.1002/adfm.201907820 ↗
19. 10.1126/scirobotics.abn060210.1126/scirobotics.abn0602 ↗
20. 10.1126/scirobotics.add101710.1126/scirobotics.add1017 ↗
21. 10.1021/acsami.7b0952610.1021/acsami.7b09526 ↗
22. E. W.Hawkes D. L.Christensen M. R.Cutkosky presented atIEEE International Conference on Robotics and Automation (ICRA)2015 3762.10.1109/ICRA.2015.7139722 ↗
23. 10.1126/scirobotics.abe185810.1126/scirobotics.abe1858 ↗
24. 10.1126/science.115950310.1126/science.1159503 ↗
25. 10.1002/smll.20080116110.1002/smll.200801161 ↗
26. 10.1002/adfm.20130196010.1002/adfm.201301960 ↗
27. 10.1088/0964-1726/22/2/02501310.1088/0964-1726/22/2/025013 ↗
28. 10.1002/smll.20190424810.1002/smll.201904248 ↗
29. 10.1098/rsif.2009.004810.1098/rsif.2009.0048 ↗
30. 10.1098/rsif.2018.070510.1098/rsif.2018.0705 ↗
31. 10.1016/j.mattod.2019.12.02810.1016/j.mattod.2019.12.028 ↗
32. 10.1073/pnas.181505311610.1073/pnas.1815053116 ↗
33. 10.1126/scirobotics.aax159410.1126/scirobotics.aax1594 ↗
34. Liu Y. · Soft Robotics · 2022
35. 10.1002/adfm.20230051610.1002/adfm.202300516 ↗
36. 10.1002/advs.20230067310.1002/advs.202300673 ↗
37. 10.1002/adfm.20200306210.1002/adfm.202003062 ↗
38. 10.1002/adma.20210287710.1002/adma.202102877 ↗
39. 10.1002/adma.20210382610.1002/adma.202103826 ↗
40. 10.1002/adfm.20210907610.1002/adfm.202109076 ↗
41. Zhang Y. · IEEE Int. Conf. Intell. Robots Syst. · 2019 · 3343
42. 10.1109/TRO.2021.311525710.1109/TRO.2021.3115257 ↗
43. 10.1038/s42256-020-00263-110.1038/s42256-020-00263-1 ↗
44. 10.1073/pnas.221502811910.1073/pnas.2215028119 ↗