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...

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Main Authors: 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
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:Advanced Intelligent Systems
Subjects:
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.
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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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