Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy
In human–robot interaction (HRI), sharing emotions between the human and robot is one of the most important elements. However, market trends suggest that being able to perform productive tasks is more important than being able to express emotions in order for robots to be more accepted by society. I...
| 出版年: | Machines |
|---|---|
| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2022-11-01
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| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2075-1702/10/12/1118 |
| _version_ | 1850131816670822400 |
|---|---|
| author | Shohei Hagane Gentiane Venture |
| author_facet | Shohei Hagane Gentiane Venture |
| author_sort | Shohei Hagane |
| collection | DOAJ |
| container_title | Machines |
| description | In human–robot interaction (HRI), sharing emotions between the human and robot is one of the most important elements. However, market trends suggest that being able to perform productive tasks is more important than being able to express emotions in order for robots to be more accepted by society. In this study, we introduce a method of conveying emotions through a robot arm while it simultaneously executes main tasks. This method utilizes the null space control scheme to exploit the kinematic redundancy of a robot manipulator. In addition, the concept of manipulability ellipsoid is used to maximize the motion in the kinematic redundancy. The “Nextage-Open” robot was used to implement the proposed method, and HRI was recorded on video. Using these videos, a questionnaire with Pleasure–Arousal–Dominance (PAD) scale was conducted via the internet to evaluate people’s impressions of the robot’s emotions. The results suggested that even when industrial machines perform emotional behaviors within the safety standards set by the ISO/TS 15066, it is difficult to provide enough variety for each emotion to be perceived differently. However, people’s reactions to the unclear movements yielded useful and interesting results, showing the complementary roles of motion features, interaction content, prejudice toward robots, and facial expressions in understanding emotion. |
| format | Article |
| id | doaj-art-a11dfd2d6a1a4e41a2ca828fa3807ede |
| institution | Directory of Open Access Journals |
| issn | 2075-1702 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-a11dfd2d6a1a4e41a2ca828fa3807ede2025-08-19T23:52:30ZengMDPI AGMachines2075-17022022-11-011012111810.3390/machines10121118Robotic Manipulator’s Expressive Movements Control Using Kinematic RedundancyShohei Hagane0Gentiane Venture1Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, JapanDepartment of Mechanical Engineering, University of Tokyo, Tokyo 113-0033, JapanIn human–robot interaction (HRI), sharing emotions between the human and robot is one of the most important elements. However, market trends suggest that being able to perform productive tasks is more important than being able to express emotions in order for robots to be more accepted by society. In this study, we introduce a method of conveying emotions through a robot arm while it simultaneously executes main tasks. This method utilizes the null space control scheme to exploit the kinematic redundancy of a robot manipulator. In addition, the concept of manipulability ellipsoid is used to maximize the motion in the kinematic redundancy. The “Nextage-Open” robot was used to implement the proposed method, and HRI was recorded on video. Using these videos, a questionnaire with Pleasure–Arousal–Dominance (PAD) scale was conducted via the internet to evaluate people’s impressions of the robot’s emotions. The results suggested that even when industrial machines perform emotional behaviors within the safety standards set by the ISO/TS 15066, it is difficult to provide enough variety for each emotion to be perceived differently. However, people’s reactions to the unclear movements yielded useful and interesting results, showing the complementary roles of motion features, interaction content, prejudice toward robots, and facial expressions in understanding emotion.https://www.mdpi.com/2075-1702/10/12/1118human robot interactionkinematic redundancymanipulatoremotion |
| spellingShingle | Shohei Hagane Gentiane Venture Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy human robot interaction kinematic redundancy manipulator emotion |
| title | Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy |
| title_full | Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy |
| title_fullStr | Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy |
| title_full_unstemmed | Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy |
| title_short | Robotic Manipulator’s Expressive Movements Control Using Kinematic Redundancy |
| title_sort | robotic manipulator s expressive movements control using kinematic redundancy |
| topic | human robot interaction kinematic redundancy manipulator emotion |
| url | https://www.mdpi.com/2075-1702/10/12/1118 |
| work_keys_str_mv | AT shoheihagane roboticmanipulatorsexpressivemovementscontrolusingkinematicredundancy AT gentianeventure roboticmanipulatorsexpressivemovementscontrolusingkinematicredundancy |
