Abstract
Most Autonomous manipulation studies of robot hands require tactile sensors for accurate detection. Flexible tactile sensor reproduces human skin characteristics and provides important tactile information. This paper presents a flexible and compact touch sensor array that can be applied to robot hands. The sensor is manufactured by laser-cut polyvinylidene fluoride (PVDF). A sensor based on PVDF produces voltage output due to the deformation caused by the applied press. The touching location on the sensor is extracted by data processing of the voltage outputs. By the sensing system, the robot hand including the sensor array can monitor in real-time the contact object. The results show that the robot hand recognizes different contact areas when holding objects of various shapes. In addition, the sensor provides a new and simple strategy for dynamic touch sensing while providing new design ideas for electronic skin.
Original language | English |
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Title of host publication | 2019 16th International Conference on Ubiquitous Robots, UR 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 21-25 |
Number of pages | 5 |
ISBN (Electronic) | 9781728132327 |
DOIs | |
Publication status | Published - 2019 Jun |
Externally published | Yes |
Event | 16th International Conference on Ubiquitous Robots, UR 2019 - Jeju, Korea, Republic of Duration: 2019 Jun 24 → 2019 Jun 27 |
Publication series
Name | 2019 16th International Conference on Ubiquitous Robots, UR 2019 |
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Conference
Conference | 16th International Conference on Ubiquitous Robots, UR 2019 |
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Country/Territory | Korea, Republic of |
City | Jeju |
Period | 19/6/24 → 19/6/27 |
Bibliographical note
Funding Information:The authors are greatly thankful to Chohee Kim for drawing the method and mechanism schematics. Research supported in part by Technology Innovation Program for Development of robotic work control technology capable of grasping and manipulating various objects in everyday life environment based on multimodal recognition and using tools funded by the Ministry of Trade, Industry & Energy under grant number 20001856 and in part by Korea Institute of Science and Technology Institutional Program under grant number 2E29460.
Funding Information:
Research supported in part by Technology Innovation Program for Development of robotic work control technology capable of grasping and manipulating various objects in everyday life environment based on multimodal recognition and using tools funded by the Ministry of Trade, Industry & Energy under grant number 20001856 and in part by Korea Institute of Science and Technology Institutional Program under grant number 2E29460.
Publisher Copyright:
© 2019 IEEE.
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Human-Computer Interaction
- Mechanical Engineering
- Control and Optimization