A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot
In the near future, we can expect to see robots naturally following or going ahead of humans, similar to pet behavior. We call this type of robots “Pet-Bot”. To implement this function in a robot, in this paper we introduce a self-organizing interaction and synchronization method between wearable de...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/6/842 |
| _version_ | 1798040345636765696 |
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| author | Min Su Kim Jae Geun Lee Soon Ju Kang |
| author_facet | Min Su Kim Jae Geun Lee Soon Ju Kang |
| author_sort | Min Su Kim |
| collection | DOAJ |
| description | In the near future, we can expect to see robots naturally following or going ahead of humans, similar to pet behavior. We call this type of robots “Pet-Bot”. To implement this function in a robot, in this paper we introduce a self-organizing interaction and synchronization method between wearable devices and Pet-Bots. First, the Pet-Bot opportunistically identifies its owner without any human intervention, which means that the robot self-identifies the owner’s approach on its own. Second, Pet-Bot’s activity is synchronized with the owner’s behavior. Lastly, the robot frequently encounters uncertain situations (e.g., when the robot goes ahead of the owner but meets a situation where it cannot make a decision, or the owner wants to stop the Pet-Bot synchronization mode to relax). In this case, we have adopted a gesture recognition function that uses a 3-D accelerometer in the wearable device. In order to achieve the interaction and synchronization in real-time, we use two wireless communication protocols: 125 kHz low-frequency (LF) and 2.4 GHz Bluetooth low energy (BLE). We conducted experiments using a prototype Pet-Bot and wearable devices to verify their motion recognition of and synchronization with humans in real-time. The results showed a guaranteed level of accuracy of at least 94%. A trajectory test was also performed to demonstrate the robot’s control performance when following or leading a human in real-time. |
| first_indexed | 2024-04-11T22:06:20Z |
| format | Article |
| id | doaj.art-a939cf62fc8d4285a2b7c0a32b1e329d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:06:20Z |
| publishDate | 2016-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a939cf62fc8d4285a2b7c0a32b1e329d2022-12-22T04:00:42ZengMDPI AGSensors1424-82202016-06-0116684210.3390/s16060842s16060842A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile RobotMin Su Kim0Jae Geun Lee1Soon Ju Kang2Departement of Software Convergence, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, KoreaSchool of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, KoreaSchool of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, KoreaIn the near future, we can expect to see robots naturally following or going ahead of humans, similar to pet behavior. We call this type of robots “Pet-Bot”. To implement this function in a robot, in this paper we introduce a self-organizing interaction and synchronization method between wearable devices and Pet-Bots. First, the Pet-Bot opportunistically identifies its owner without any human intervention, which means that the robot self-identifies the owner’s approach on its own. Second, Pet-Bot’s activity is synchronized with the owner’s behavior. Lastly, the robot frequently encounters uncertain situations (e.g., when the robot goes ahead of the owner but meets a situation where it cannot make a decision, or the owner wants to stop the Pet-Bot synchronization mode to relax). In this case, we have adopted a gesture recognition function that uses a 3-D accelerometer in the wearable device. In order to achieve the interaction and synchronization in real-time, we use two wireless communication protocols: 125 kHz low-frequency (LF) and 2.4 GHz Bluetooth low energy (BLE). We conducted experiments using a prototype Pet-Bot and wearable devices to verify their motion recognition of and synchronization with humans in real-time. The results showed a guaranteed level of accuracy of at least 94%. A trajectory test was also performed to demonstrate the robot’s control performance when following or leading a human in real-time.http://www.mdpi.com/1424-8220/16/6/842mobile robothuman following or leadingLF/RF pairingdevice-to-device synchronization |
| spellingShingle | Min Su Kim Jae Geun Lee Soon Ju Kang A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot Sensors mobile robot human following or leading LF/RF pairing device-to-device synchronization |
| title | A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot |
| title_full | A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot |
| title_fullStr | A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot |
| title_full_unstemmed | A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot |
| title_short | A Self-Organizing Interaction and Synchronization Method between a Wearable Device and Mobile Robot |
| title_sort | self organizing interaction and synchronization method between a wearable device and mobile robot |
| topic | mobile robot human following or leading LF/RF pairing device-to-device synchronization |
| url | http://www.mdpi.com/1424-8220/16/6/842 |
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