• Title/Summary/Keyword: tactile

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Tactile Transfer and Display Method using Data Glove and Vibration Motors Module (데이터 글로브와 진동모터를 이용한 촉각전달 및 제시 방법)

  • Kang, Hyung-Gu;Choi, Youngjin
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.12
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    • pp.1138-1144
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    • 2013
  • This paper proposes a tactile transfer and display method between a data glove and vibration motors module. The data glove is developed to capture the hand postures and to measure the grip forces. The measured data are simplified with the proposed 5-bit transfer and display algorithm, and the vibration motors module is developed to display the measured hand posture and grip force to the operator. The proposed 5-bit algorithm contains both an 8-step hand posture and 4-step grip force level information for tactile transfer to the vibration motors module. Also, the effectiveness of the proposed method is shown through several experiments.

Development of a Tactile Array Sensor Layered in Artificial Skin for Robot Hand (로봇 손의 인공 피부형 접촉 센서의 개발)

  • Lim, Mee-Seub;Oh, S.R.;Lee, J.W.;Dario, P.
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1272-1274
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    • 1996
  • This paper presents the development of tactile sensor systems for robot hand which are truly usable, robust, reliable and cheap system. The sensor incorporates multiple sensing subsystems for detecting distributed contact forces and surface characteristics. The fabrication and experimental evaluation of the tactile system and its electric interfaces are described. The results indicate that the system provides reasonable performances for practical applications requiring manipulation with tactile feedback.

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Development of Bioinspired Robotic Gripping Technology for Gripping Rough & Wet Surfaces based on Tactile Sensing (촉각센싱기반 거칠고 젖은 표면 파지가 가능한 생체모사 로봇용 그리핑 기술 개발)

  • Kim, Da Wan
    • The Journal of Korea Robotics Society
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    • v.17 no.3
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    • pp.282-287
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    • 2022
  • High shear adhesion on wet and rough surfaces and tactile feedback of gripping forces are highly important for realizing robotic gripper systems. Here, we propose a bioinspired robotic gripper with highly shear adhesion and sensitive pressure sensor for tactile feedback systems. To achieve them, we fabricated multi-walled carbon nanotube sensing layer on a thin polymeric adhesive layer of polydimethylsiloxane. With densely hexagonal-packed microstructures, the pressure sensor achieved 9 times the sensing property of a sensor without microstructures. We then assembled hexagonal microstructures inspired by the toe pads of a tree frog, giving strong shear adhesion under both dry and wet surfaces such as silicon (42 kPa for dry and ~30 kPa for underwater conditions) without chemical-residues after detachment. Our robotic gripper can prevent damage to weak or smooth surfaces that can be damaged at low pressure through pressure signal feedback suggesting a variety of robotic applications.

Development of a Tactile Sensor Array with Flexible Structure Using Piezoelectric Film

  • Yu, Kee-Ho;Kwon, Tae-Gyu;Yun, Myung-Jong;Lee, Seong-Cheol
    • Journal of Mechanical Science and Technology
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    • v.16 no.10
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    • pp.1222-1228
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    • 2002
  • This research is the development of a flexible tactile sensor array for service robots using PVDF (polyvinylidene fluoride) film for the detection of a contact state in real time. The prototype of the tactile sensor which has 8${\times}$8 array using PVDF film was fabricated. In the fabrication procedure, the electrode patterns and the common electrode of the thin conductive tape were attached to both sides of the 281$\mu\textrm{m}$ thickness PVDF film using conductive adhesive. The sensor was covered with polyester film for insulation and attached to the rubber base for a stable structure. The proposed fabrication method is simple and easy to make the sensor. The sensor has the advantages in the implementing for practical applications because its structure is flexible and the shape of the each tactile element can be designed arbitrarily. The signals of a contact force to the tactile sensor were sensed and processed in the DSP system in which the signals are digitized and filtered. Finally, the signals were integrated for taking the force profile. The processed signals of the output of the sensor were visualized in a personal computer, and the shape and force distribution of the contact object were obtained. The reasonable performance for the detection of the contact state was verified through the sensing examples.