Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping

Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping

With sufficient practice, humans can grab objects they have never seen before through brain decision-making. However, the manipulators, which has a wide range of applications in industrial production, can still only grab specific objects. Because most of the grasp algorithms rely on prior knowledge...

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Bibliographic Details
Main Authors: Weiwei Liu, Linpeng Peng, Junjie Cao, Xiaokuan Fu, Yong Liu, Zaisheng Pan, Jian Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Robotic grasping
reinforcement learning
ensemble learning
Thompson sampling
Online Access:https://ieeexplore.ieee.org/document/9316755/

Internet

https://ieeexplore.ieee.org/document/9316755/

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