Digitizing Human Motion via Bending Sensors toward Humanoid Robot
A humanoid robot is an advanced representation of robot techniques. It can move like a human and possesses the ability to use human tools. Sensing and intelligent control technologies have increased the intelligence of humanoid robots. However, the dexterity of a humanoid robot is still far from tha...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-05-01
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Series: | Advanced Intelligent Systems |
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Online Access: | https://doi.org/10.1002/aisy.202200337 |
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author | Jing Liu Fei Liao Zhiming Chen Renhao Zhou Xiaoming Zhong Bo Liu Zaijun Wang Mingyi He Hongxu Lin Zibin Zhang Shengsheng Lu Leyi Zeng Bingpu Zhou Guoning Chen Jingchen Huang Aiping Huang Jianyi Luo |
author_facet | Jing Liu Fei Liao Zhiming Chen Renhao Zhou Xiaoming Zhong Bo Liu Zaijun Wang Mingyi He Hongxu Lin Zibin Zhang Shengsheng Lu Leyi Zeng Bingpu Zhou Guoning Chen Jingchen Huang Aiping Huang Jianyi Luo |
author_sort | Jing Liu |
collection | DOAJ |
description | A humanoid robot is an advanced representation of robot techniques. It can move like a human and possesses the ability to use human tools. Sensing and intelligent control technologies have increased the intelligence of humanoid robots. However, the dexterity of a humanoid robot is still far from that of a human. Herein, a bending sensor is introduced to detect human motion, which can thus be digitized to enable a humanoid robot to learn to be more dexterous. This bending sensor is fabricated of carbon fiber with a cascade structure, resulting in excellent characteristics, including a quantitative detection capability, high gauge factor, low hysteresis, long‐term durability, and high‐frequency response. Thus, the bending sensor can recognize both the large‐scale motion of joint bending and subtle motion of muscle contraction. Fourteen bending sensors corresponding to the 14 knuckles of the human hand can accurately recognize and digitize hand gestures. These multichannel sensors are combined with nine additional bending sensors to comprehensively digitize the grasping process of the upper limb and recognize the grasping of objects with different sizes and weights. These successful applications demonstrate that the bending sensor can open a path toward learning human behavior for a humanoid robot. |
first_indexed | 2024-03-13T10:23:03Z |
format | Article |
id | doaj.art-a1fa0b193e544f23a7a8c5abb9f53ffd |
institution | Directory Open Access Journal |
issn | 2640-4567 |
language | English |
last_indexed | 2024-03-13T10:23:03Z |
publishDate | 2023-05-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Intelligent Systems |
spelling | doaj.art-a1fa0b193e544f23a7a8c5abb9f53ffd2023-05-20T03:54:51ZengWileyAdvanced Intelligent Systems2640-45672023-05-0155n/an/a10.1002/aisy.202200337Digitizing Human Motion via Bending Sensors toward Humanoid RobotJing Liu0Fei Liao1Zhiming Chen2Renhao Zhou3Xiaoming Zhong4Bo Liu5Zaijun Wang6Mingyi He7Hongxu Lin8Zibin Zhang9Shengsheng Lu10Leyi Zeng11Bingpu Zhou12Guoning Chen13Jingchen Huang14Aiping Huang15Jianyi Luo16Research Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaJoint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau Avenida da Universidade, Taipa Macau ChinaWYU-Flexwarm Joint Lab for Flexible Sensing Technologies Guangzhou CarbonSens Technology Co., Ltd. Guangzhou 511483 ChinaWYU-Flexwarm Joint Lab for Flexible Sensing Technologies Guangzhou CarbonSens Technology Co., Ltd. Guangzhou 511483 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaResearch Center of Flexible Sensing Materials and Devices School of Applied Physics and Materials Wuyi University Jiangmen 529020 ChinaA humanoid robot is an advanced representation of robot techniques. It can move like a human and possesses the ability to use human tools. Sensing and intelligent control technologies have increased the intelligence of humanoid robots. However, the dexterity of a humanoid robot is still far from that of a human. Herein, a bending sensor is introduced to detect human motion, which can thus be digitized to enable a humanoid robot to learn to be more dexterous. This bending sensor is fabricated of carbon fiber with a cascade structure, resulting in excellent characteristics, including a quantitative detection capability, high gauge factor, low hysteresis, long‐term durability, and high‐frequency response. Thus, the bending sensor can recognize both the large‐scale motion of joint bending and subtle motion of muscle contraction. Fourteen bending sensors corresponding to the 14 knuckles of the human hand can accurately recognize and digitize hand gestures. These multichannel sensors are combined with nine additional bending sensors to comprehensively digitize the grasping process of the upper limb and recognize the grasping of objects with different sizes and weights. These successful applications demonstrate that the bending sensor can open a path toward learning human behavior for a humanoid robot.https://doi.org/10.1002/aisy.202200337bending sensorsgesture recognitiongrasping process digitizationhuman motion digitizationhumanoid robots |
spellingShingle | Jing Liu Fei Liao Zhiming Chen Renhao Zhou Xiaoming Zhong Bo Liu Zaijun Wang Mingyi He Hongxu Lin Zibin Zhang Shengsheng Lu Leyi Zeng Bingpu Zhou Guoning Chen Jingchen Huang Aiping Huang Jianyi Luo Digitizing Human Motion via Bending Sensors toward Humanoid Robot Advanced Intelligent Systems bending sensors gesture recognition grasping process digitization human motion digitization humanoid robots |
title | Digitizing Human Motion via Bending Sensors toward Humanoid Robot |
title_full | Digitizing Human Motion via Bending Sensors toward Humanoid Robot |
title_fullStr | Digitizing Human Motion via Bending Sensors toward Humanoid Robot |
title_full_unstemmed | Digitizing Human Motion via Bending Sensors toward Humanoid Robot |
title_short | Digitizing Human Motion via Bending Sensors toward Humanoid Robot |
title_sort | digitizing human motion via bending sensors toward humanoid robot |
topic | bending sensors gesture recognition grasping process digitization human motion digitization humanoid robots |
url | https://doi.org/10.1002/aisy.202200337 |
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