Abstract
Skill transfer from a human hand to a robot hand is extremely challenging. Currently, researchers typically use mapping of human hand postures onto the robot hand with the help of a data glove. This approach to skill transfer has yielded impressive results for grasping applications, but is difficult to implement for fine manipulation tasks. Humans use their sense of touch to handle various objects to perform fine manipulation tasks such as stitching, calligraphy, carving, and painting. Consequently, it is also important to measure the tactile data exerted by the human hand on the object while performing fine manipulation tasks. Previously we presented FingerTac - a wearable tactile sensor that can be worn interchangeably on human hands as well as on robot hands. FingerTac is capable of measuring 3-axis tactile data distributed at 20 sensing points around the user's fingertip. In this paper we present ExoGlove (see Fig. 1), which is a combination of a mechanical exoskeleton and FingerTac. The mechanical joints of the ExoGlove are embedded with magnetic encoders which allow precise monitoring of joint angles between the human hand finger segments. As the ExoGlove is integrated with the FingerTac it allows roboticists to not only map the posture of the human hand to the robot hand but to also map the tactile data from the human hand while performing fine manipulation tasks. The sensor is able to measure angles with a mean absolute error of 2.76 degrees.
| Original language | English |
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| Title of host publication | 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023 |
| Editors | Mehmet Dogar, Bin Fang, Dimitrios Kanoulas, Jia Pan, Alessandra Sciutti, Moju Zhao, Guanjun Bao, Bimbo Joao, Boyle Jordan Hylke, He Chen, Chen Teng, Yunduan Cui, Dagnino Giulio, Wenbo Ding, Liang Du, Farinha Andre, Yuan Gao, Hasegawa Shun, Liang He, Taogang Hou, Zhe Hu, Zhong Huang, Jackson-Mills George, Yunfeng Ji, Jirak Doreen, Feng Ju, Kaddouh Bilal, Kim Wansoo, Takuya Kiyokawa, Haiyuan Li, Peng Li, Shihao Li, Xu Li, Jianfeng Liao, Ling Jie, Chunfang Liu, Quanquan Liu, Liang Lu, Qiuyue Luo, Yudong Luo, Zebing Mao, Martinez-Hernandez Uriel, Matsuno Takahiro, Nguyen Thanh Luan, Nishio Takuzumi, Pasquali Dario, Pierella Camilla, Chao Ren, Ricci Serena, Rossini Luca, Shi Fan, Summa Susanna, Rongchuan Sun, Zhenglong Sun, Vannucci Fabio, Gang Wang, Wei Wang, Xin Wang, Yuquan Wang, Ziya Wang, Qingxiang Wu, Xiaojun Wu, Yuxin Sun, Youcan Yan, Lei Yang, Yanokura Iori, Jingfan Zhang, Shuai Zhang, Tianwei Zhang, Jinglei Zhao, Na Zhao, Chengxu Zhou, Peng Zhou, Haifei Zhu |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350325706 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023 - Koh�Samui, Thailand Duration: 2023 Dec 4 → 2023 Dec 9 |
Publication series
| Name | 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023 |
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Conference
| Conference | 2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023 |
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| Country/Territory | Thailand |
| City | Koh�Samui |
| Period | 23/12/4 → 23/12/9 |
ASJC Scopus subject areas
- Artificial Intelligence
- Mechanical Engineering
- Control and Optimization