Deep Neural Network Approach in Human-Like Redundancy Optimization for Anthropomorphic Manipulators

Deep Neural Network Approach in Human-Like Redundancy Optimization for Anthropomorphic Manipulators

Human-like behavior has emerged in the robotics area for improving the quality of Human-Robot Interaction (HRI). For the human-like behavior imitation, the kinematic mapping between a human arm and robot manipulator is one of the popular solutions. To fulfill this requirement, a reconstruction metho...

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Bibliographic Details
Main Authors: Hang Su, Wen Qi, Chenguang Yang, Andrea Aliverti, Giancarlo Ferrigno, Elena De Momi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Human-like behavior
deep neural network
Swivel motion
redundancy optimization
anthropomorphic manipulator
Online Access:https://ieeexplore.ieee.org/document/8812723/

Internet

https://ieeexplore.ieee.org/document/8812723/

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