DexHand: dexterous hand manipulation motion synthesis for virtual reality-Reference-Cited by-同舟云学术

DexHand: dexterous hand manipulation motion synthesis for virtual reality

Published:2023-05-30 Issue:3 Volume:27 Page:2341-2356
ISSN:1359-4338
Container-title:Virtual Reality
language:en
Short-container-title:Virtual Reality

Author:

Jiang Haiyan,Weng Dongdong^ORCID,Song Zhen,Dongye Xiaonuo,Zhang Zhenliang

Funder

National Key R &D Program of China

National Natural Science Foundation of China

111 Project

Beijing Outstanding Young Scientist Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Software

Link

https://link.springer.com/content/pdf/10.1007/s10055-023-00810-2.pdf

Reference61 articles.

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2. Andrychowicz OM, Baker B, Chociej M, Jozefowicz R, McGrew B, Pachocki J, Petron A, Plappert M, Powell G, Ray A et al (2020) Learning dexterous in-hand manipulation. Int J Robot Res 39(1):3–20

3. Baraff D (1997) An introduction to physically based modeling: Rigid body simulation i - unconstrained rigid body dynamics. In: SIGGRAPH ’97 course notes, p 97

4. Boukhayma A, Bem Rd, Torr PH (2019) 3d hand shape and pose from images in the wild. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 10843–10852

5. Brahmbhatt S, Handa A, Hays J, Fox D (2019) Contactgrasp: functional multi-finger grasp synthesis from contact. In: 2019 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 2386–2393. https://doi.org/10.1109/IROS40897.2019.8967960

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