[HTML][HTML] Human-like dexterous manipulation for anthropomorphic five-fingered hands: A review

Y Huang, D Fan, H Duan, D Yan, W Qi, J Sun… - Biomimetic Intelligence …, 2025 - Elsevier
Humans excel at dexterous manipulation; however, achieving human-level dexterity
remains a significant challenge for robots. Technological breakthroughs in the design of …

Omni6dpose: a benchmark and model for universal 6d object pose estimation and tracking

J Zhang, W Huang, B Peng, M Wu, F Hu… - … on Computer Vision, 2024 - Springer
Abstract 6D object pose estimation is crucial in the field of computer vision. However, it
suffers from a significant lack of large-scale and diverse datasets, impeding comprehensive …

A survey of embodied learning for object-centric robotic manipulation

Y Zheng, L Yao, Y Su, Y Zhang, Y Wang… - ar** and
challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots …

Pear: Phrase-based hand-object interaction anticipation

Z Zhang, H Luo, W Zhai, Y Cao, Y Kang - ar**
Z Huang, H Yuan, Y Fu, Z Lu - ar** across diverse objects presents a fundamental yet formidable
challenge in robot learning. Existing approaches using reinforcement learning (RL) to …

DexH2R: Task-oriented Dexterous Manipulation from Human to Robots

S Zhao, X Zhu, Y Chen, C Li, X Zhang, M Ding… - arxiv preprint arxiv …, 2024 - arxiv.org
Dexterous manipulation is a critical aspect of human capability, enabling interaction with a
wide variety of objects. Recent advancements in learning from human demonstrations and …

[PDF][PDF] DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation

Z Liang, Y Mu, Y Wang, T Chen, W Shao, W Zhan… - i-newcar.com
Dexterous manipulation with contact-rich interactions is crucial for advanced robotics. While
recent diffusion-based planning approaches show promise for simpler manipulation tasks …