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Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach

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Published in:ArXiv cs.HC Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.HC Recent Papers
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spellingShingle Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
sub_discipline_display Mechanical Engineering
sub_discipline_facet Mechanical Engineering
subject_display ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
subject_facet ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
title Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_auth Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_full Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_fullStr Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_full_unstemmed Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_short Robotic Affection -- Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
title_sort robotic affection -- opportunities of ai-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
topic ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
url https://arxiv.org/abs/2605.02538v1