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Official PDF TranslationChinese Journal of Mechanical Engineering

Grasp Control of Dexterous Hands Based on Bibliometric Analysis: A Survey

Authors: Zhe Xu; Sihan Huang; Liya Yao; Jiahao Zhu; Guoxin Wang; Yan Yan

DOI: 10.1186/s10033-025-01346-zStatus: Verified Translated Edition
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Key Findings in This Report

• Bibliometric analysis reveals the evolution and current hotspots in dexterous hand grasp research, highlighting a shift toward intelligent and multimodal approaches. • Precision control via multimodal fusion, autonomous task understanding, and in-hand dexterous manipulation are identified as the top three future research directions. • The review provides a comprehensive overview of publication trends, key contributors, and collaborative networks, offering a roadmap for researchers. • The findings underscore the importance of integrating advanced sensors and AI to achieve human-like dexterity in robotic hands.