인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Human skin exhibits a complex layered architecture endowed with diverse sensory receptors, facilitating the perception of rich, multimodal information during environmental interactions. This biological paradigm has inspired the development of advanced multimodal flexible sensors and intelligent robotic systems. In this study, it presents a novel multimodal laser‐induced graphene (LIG)‐based flexible sensor (MLFS) that leverages laser processing to rapidly fabricate distinct functional layers of LIG with tunable properties. By integrating triboelectric and piezoresistive mechanisms, the MLFS enables comprehensive detection of proximity and contact stimuli, providing sensitive and reliable environmental feedback. The sensor is seamlessly embedded onto a soft robotic finger, endowing the robotic hand with enhanced perception capabilities for environmental sensing and object discrimination. Experimental evaluations demonstrate that the soft robotic system can autonomously perform object searching and grasping tasks without reliance on visual cues. Moreover, employing a convolutional neural network (CNN), the system achieves high‐accuracy classification of object materials and textures, reaching 98.75% and 98.44%, respectively. This work significantly advances the sensory intelligence of soft robotic systems, offering a robust pathway for integrating multimodal sensing technologies with adaptive soft robotics and highlighting its potential for practical applications in autonomous manipulation and human‐robot interaction.
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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