연구동향 분석

휴먼형 로봇 손의 사물 조작 수행을 이용한 사람데모 결합 강화학습 정책 성능 평가

박나현 오지헌 류가현 Patricio Rivera Lopez Edwin Valarezo Añazco 김태성 2021년

논문상세정보
인용/피인용
' 휴먼형 로봇 손의 사물 조작 수행을 이용한 사람데모 결합 강화학습 정책 성능 평가' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Anthropomorphic Robot Hand
  • Deep Reinforcement Learning
  • Human Demonstration
  • policyoptimization
  • 강화학습
  • 사람 데모
  • 최적화 방법
  • 휴먼형 로봇
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
222 0

0.0%

' 휴먼형 로봇 손의 사물 조작 수행을 이용한 사람데모 결합 강화학습 정책 성능 평가' 의 참고문헌

  • Trust Region Policy Optimization
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  • Trends and challenges in robot manipulation
    Billard [2019]
  • The SoftHand Pro-H : a hybrid bodycontrolled, electrically powered hand prosthesis for daily living and working
    C. Piazza [2017]
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  • Policy gradient reinforcement learning for fast quadrupedal locomotion
    N. Kohl [2004]
  • Overcoming Exploration in Reinforcement Learning with Demonstrations
    A. Nair [2018]
  • Opensource, anthropomorphic, underactuated robot hands with a selectively lockable differential mechanism:towards affordable prostheses
  • Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
  • Natural Policy Gradient
    S. Kakade [2001]
  • MuJoCo : A physics engine for model-based control
    E. Todorov [2012]
  • Mastering the game of Go with deep neural networks and tree search
    D. Silver [2016]
  • Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards
  • Learning from demonstrations for real world reinforcement learning
  • Learning dexterous manipulation for a soft robotic hand from human demonstrations
    A. Gupta [2016]
  • Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
  • LEAP Motion
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    V. Mnih [2015]
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    A. Firouzeh [2017]
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    V. Kumar [2013]
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    A. Kargov [2005]
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    C. Piazza [2019]
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