Empower dexterous robotic hand for human-centric smart manufacturing: A perception and skill learning perspective

B Gao, J Fan, P Zheng - Robotics and Computer-Integrated Manufacturing, 2025 - Elsevier
Recent rapid developments of dexterous robotic hands have greatly enhanced the
manipulative capabilities of robots, enabling them to perform industrial tasks in human-like …

A Robo-hand prototype design gripping device within the framework of sustainable development

AS Yasser, AJ Amer, V Lyashenko, V Yevsieiev… - 2023 - openarchive.nure.ua
Анотація In the modern world, the rate of science development is far ahead of the rate of
latest research results implementation. For research results implementation, it is necessary …

Learning a universal human prior for dexterous manipulation from human preference

Z Ding, Y Chen, AZ Ren, SS Gu, Q Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating human-like behavior on robots is a great challenge especially in dexterous
manipulation tasks with robotic hands. Scripting policies from scratch is intractable due to …

A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images

T Woo, W Park, W Jeong, J Park - Computers & Graphics, 2023 - Elsevier
The research topic of estimating hand pose from the images of hand-object interaction has
the potential for replicating natural hand behavior in many practical applications of virtual …