Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands-Reference-Cited by-同舟云学术

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Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

Published:2023-10 Issue:5 Volume:5 Page:407-421
ISSN:2096-5796
Container-title:Virtual Reality & Intelligent Hardware
language:en
Short-container-title:Virtual Reality & Intelligent Hardware

Author:

Cai Zeyuan,Feng Zhiquan,Zhou Liran,Yang Xiaohui,Xu Tao

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Human-Computer Interaction

Reference30 articles.

1. Safety bounds in human robot interaction: a survey;Zacharaki;Safety Science,2020

2. Research on intelligent grab of service robot based on machine vision;Yang,2014

3. Domain randomization for active pose estimation;Ren,2019

4. Positioning and grasping system design of industrial robot based on visual guidance;Zhai;Machine Design and Research,2014

5. Multimodal features deep learning for robotic potential grasp recognition;Zhong;Acta Autom Sin,2016

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