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Voice Interfaced Deep Learning Object Parts Recognition and Grasping with an Anthropomorphic Robot Hand: A Simulation Study
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음성 및 딥러닝 사물 부위 인식 기반의 사람형 로봇손의 강화학습 사물 파지 시스템: 시뮬레이션 연구

논문 기본 정보

Type
Proceeding
Author
Ga Hyeon Ryu (경희대학교) Ji Heon Oh (경희대학교) Na Hyeon Park (경희대학교) Edwin Valarezo Añazco (경희대학교) Patricio Rivera Lopez (경희대학교) Tae-Seong Kim (경희대학교)
Journal
Korea Institute Of Communication Sciences Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2021년도 한국통신학회 동계종합학술발표회 논문집
Published
2021.2
Pages
393 - 394 (2page)

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Voice Interfaced Deep Learning Object Parts Recognition and Grasping with an Anthropomorphic Robot Hand: A Simulation Study
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Research history (3)

2022

Manipulation of Target Object with an Anthropomorphic Soft Robot Hand via Deep Learning Vision Intelligence and Path Planning
Ga Hyeon Ryu ,  Ji-Heon Oh ,  Jin Gyun Jeong and others 6 Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2022.02 Proceeding
Grasping a Target Object in Clutter with an Anthropomorphic Robot Hand via RGB-D Vision Intelligence, Path Planning and Deep Reinforcement Learning
류가현 전자정보융합공학과 2022.01 Thesis

2021

Voice Interfaced Deep Learning Object Parts Recognition and Grasping with an Anthropomorphic Robot Hand: A Simulation Study
Ga Hyeon Ryu ,  Ji Heon Oh ,  Na Hyeon Pa and others 7 Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2021.02 Proceeding
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Abstract· Keywords

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최근 인간과 로봇의 협업이 중요한 과제 중 하나로 떠오르고 있다. 사람형 로봇손과의 성공적인 Human Robot Interaction(HRI)을 위해서는 로봇과의 직관적인 의사소통, 로봇이 조작할 사물의 위치와 부위 검출, 로봇손의 의미 있는 사물 파지 지능이 필요하다. 본 논문에서는 음성 ... View All

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