Mostrando 9 resultados de: 9
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2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022(1)
ACM International Conference Proceeding Series(1)
Applied Intelligence(1)
IEEE International Conference on Automation Science and Engineering(1)
International Conference on ICT Convergence(1)
Design of a Conveyor Belt Manipulator for Reposition of Boxes in Logistics Centers
Conference ObjectAbstract: This paper describes the design of a conveyor belt manipulator for repositioning boxes to locate thePalabras claves:Conveyor Belt Manipulator, Logistics Centers, manipulation, RepositioningAutores:Edwin Valarezo Anazco, Francisco Yumbla, Jung H.R., Luong T., Medrano J., Moon H., Seo S., Shin J.Fuentes:googlescopusFully Autonomous Deep Learning RGB-D Vision-based Object Manipulation with an Anthropomorphic Robotic Hand
OtherAbstract: Fully autonomous object grasping with robotic hands is under active investigation because autonomousPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleEvaluation of Human Demonstration Augmented Deep Reinforcement Learning Policies via Object Manipulation with an Anthropomorphic Robot Hand
OtherAbstract: Manipulation of complex objects with an anthropomorphic robot hand like a human hand is a challengePalabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleNatural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
ArticleAbstract: Human hands can perform complex manipulation of various objects. It is beneficial if anthropomorphicPalabras claves:Anthropomorphic robotic hand, Deep grasping probability network, Deep reinforcement learning, Human grasping hand poses, Natural object grasping and relocation, Natural policy gradientAutores:Al-Antari M.A., Edwin Valarezo Anazco, Kim T.S., Oh J., Park N., Rivera Lopez P., Ryu G.Fuentes:googlescopusHuman-like Object Grasping and Relocation for an Anthropomorphic Robotic Hand with Natural Hand Pose Priors in Deep Reinforcement Learning
Conference ObjectAbstract: Anthropomorphic manipulators such as robotic hands (i.e., agent) can be used to perform complex objePalabras claves:Anthropomorphic Hand Manipulation, Deep Reinforcement Learning., Human-Like Object Grasping, Natural Hand Pose PriorAutores:Byun K., Edwin Valarezo Anazco, Kim T.S., Lee S., Oh J., Park H., Park N., Rivera P.Fuentes:googlescopusObject manipulation with an anthropomorphic robotic hand via deep reinforcement learning with a synergy space of natural hand poses
ArticleAbstract: Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like hPalabras claves:Anthropomorphic robotic hand, Deep reinforcement learning, Natural hand poses, Object grasping, Object relocation, Synergy spaceAutores:Edwin Valarezo Anazco, Kim T.S., Rivera P.Fuentes:googlescopusReward Shaping to Learn Natural Object Manipulation With an Anthropomorphic Robotic Hand and Hand Pose Priors via On-Policy Reinforcement Learning
Conference ObjectAbstract: A key challenge in reinforcement learning (RL) for robot manipulation is to provide a reward functioPalabras claves:Anthropomorphic robotic hand, Deep reinforcement learning, Hand Poses Priors, object manipulationAutores:Edwin Valarezo Anazco, Jeong J.G., Jung H., Kim T.S., Lee J.H., Oh J., Rivera P., Ryu G.Fuentes:googlescopus휴먼형 로봇 손의 사물 조작 수행을 이용한 사람데모 결합 강화학습 정책 성능 평가
OtherAbstract: 요 약로봇이 사람과 같이 다양하고 복잡한 사물 조작을 하기 위해서는 휴먼형 로봇 손의 사물 파지 작업이 필수적이다. 자유도 (Degree of Freedom, DoF) 가 높은 휴Palabras claves:Autores:Edwin Valarezo AnazcoFuentes:googleSupervised Machine Learning Applied to Non-Invasive EMG Signal Classification for an Anthropomorphic Robotic Hand
Conference ObjectAbstract: Advances in hardware development have created robotic hands able to mimic the appearance and functioPalabras claves:Anthropomorphic robotic hand, Artificial Neural Network, EMG Data Classification, EMG Machine LearningAutores:Alexander Saravia-Avila, Bolivar Nunez-Montoya, Edwin Valarezo Anazco, Efrain Teran, Francis R. Loayza, Mauricio Valarezo AnazcoFuentes:scopus