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An Integrated ARMA-Based Deep Autoencoder and GRU Classifier System for Enhanced Recognition of Daily Hand Activities
ArticleAbstract: Recognition of hand activities of daily living (hand-ADL) is useful in the areas of human-computer iPalabras claves:Autoregressive processes, cnn, deep learning, hand activity recognition, rnn, wearable sensorsAutores:Edwin Valarezo Anazco, Kim T.S., Rivera P.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:googlescopusHand gesture recognition using single patchable six-axis inertial measurement unit via recurrent neural networks
ArticleAbstract: Recording human gestures from a wearable sensor produces valuable information to implement control gPalabras claves:Control gestures, Hand gesture recognition, Patchable IMU, Recurrent Neural Network, Six-axis inertial sensorAutores:Edwin Valarezo Anazco, Han S.J., Kim K., Kim T.S., Lee S., 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:googleThree-dimensional shape reconstruction of objects from a single depth view using deep U-Net convolutional neural network with bottle-neck skip connections
ArticleAbstract: Three-dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruPalabras claves:Autores:Edwin Valarezo Anazco, Kim T.S., Rivera Lopez P.Fuentes:scopusThree‐dimensional shape reconstruction of objects from a single depth view using deep U‐Net convolutional neural network with bottle‐neck skip connections
OtherAbstract: Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruPalabras claves:Autores:Edwin Valarezo AnazcoFuentes:google