인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Precise measurement of contact force and accurate shape detection is essential in various industrial applications. While conventional unidirectional sensors are effective in measuring the magnitudes of contact forces along a specific axis, they cannot measure parameters such as the inclination of the contact surface. This study introduces a multi-directional pressure-sensing system to overcome these limitations. A sensing module with a linear pressure–displacement relationship was developed, and a linear regression model was established through statistical analysis to verify its reliability. Additionally, the sensing modules were arranged at equal intervals of 120° to enable measurement of the contact surface’s inclination and pressure distribution. Based on experimental results, the proposed sensing module exhibited an error rate of less than 0.5%, which highlights its reliability. Moreover, the inclination measurement system maintained an error of 1.2% within a 5° range, thereby guaranteeing high accuracy throughout its operating window. The proposed multi-directional pressure-sensing overcomes the limitations of conventional unidirectional sensors and is expected to be effective in various systems requiring precise contact force and inclination measurements, such as robotic grippers, medical devices, and industrial automation systems.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092781639