| Autor: |
Huu Duoc Nguyen, Hirotaka Sato, T. Thang Vo-Doan, Pak Zan Tan |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
IEEE Transactions on Medical Robotics and Bionics. 2:331-337 |
| ISSN: |
2576-3202 |
| DOI: |
10.1109/tmrb.2020.3004632 |
| Popis: |
Cyborg insect also referred as insect-machine hybrid robot, consists of a living insect platform and an electronic backpack mounted on. The small size and magnificent walking ability of the insect make this hybrid system a potential candidate for search and rescue missions. The great locomotory capability helps the insect to cope with the complex and unpredictable terrains, whereas the tiny dimension allows it to easily enter the debris of post-disaster sites. There is a necessity to establish more controllable mobility for cyborg insects to develop more efficient maneuver plans. Here, this study demonstrates the control of sideways and forward walking in a cyborg beetle by emulating the touch responses of mechanoreceptors on the insect’s elytra using the electrical stimulation. The beetle walked sideways leftward when the right elytron was stimulated, and vice versa. The forward control was attained by stimulating both elytra simultaneously. In addition, these elicited motions were found to be graded by tuning the stimulation frequency as increasing the frequency sped up the sideways walking and slowed down the forward velocity. Besides complementing the controllability of the cutting-edge cyborg insects, this graded response is essential for improving the navigation in cyborg insects for search and rescue missions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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