Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Junbang Liang"'
Autor:
Junbang Liang, Joao Buzzatto, Bryan Busby, Haodan Jiang, Saori Matsunaga, Rintaro Haraguchi, Mariyama Toshisada, Bruce A. MacDonald, Minas Liarokapis
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 1104-1114 (2024)
In robotic assembly of flexible flat cables (FFCs), a unique challenge is the inherent difficulty in manipulating such flexible objects compared to their rigid counterparts and the precise estimation of the cable pose. This work proposes a framework
Externí odkaz:
https://doaj.org/article/78d608ce99e74b8cb3acd3a94967d2c6
Autor:
Joao Buzzatto, Haodan Jiang, Junbang Liang, Bryan Busby, Angus Lynch, Ricardo V. Godoy, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce A. MacDonald, Minas Liarokapis
Publikováno v:
IEEE Access, Vol 12, Pp 115994-116012 (2024)
Soft robotic devices have gained popularity for their ability perform intricate grasping and dexterous manipulation tasks, providing an alternative to traditional rigid robotic end-effectors. These devices are known for their simplicity, lightweight
Externí odkaz:
https://doaj.org/article/340e6f9868214171afafee9083f827bc
Autor:
Junbang Liang, Ming C. Lin
Publikováno v:
Computational Visual Media, Vol 7, Iss 2, Pp 159-167 (2020)
Abstract Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits. However, their development is limited by practical constraints, such as accurate sizing of the body and realism of dem
Externí odkaz:
https://doaj.org/article/8f123fa7e53d405fb19797e0dcbed6a9
Publikováno v:
2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c5c0dcc6eaa13fde6ba1d519e9ec868
https://doi.org/10.1109/ssrr56537.2022.10018625
https://doi.org/10.1109/ssrr56537.2022.10018625
Mechanically Programmable Jamming Based on Articulated Mesh Structures for Variable Stiffness Robots
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::492c8ef147bf4886ff3fba8b6c845e4d
https://doi.org/10.1109/iros47612.2022.9981272
https://doi.org/10.1109/iros47612.2022.9981272
Autor:
Joao Buzzatto, Mojtaba Shahmohammadi, Junbang Liang, Felipe Sanches, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce MacDonald, Minas Liarokapis
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f5c7f8f68e8ccb80026f90f09ee5c5
https://doi.org/10.1109/iros47612.2022.9981625
https://doi.org/10.1109/iros47612.2022.9981625
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6138-6146
We introduce an efficient differentiable fluid simulator that can be integrated with deep neural networks as a part of layers for learning dynamics and solving control problems. It offers the capability to handle one-way coupling of fluids with rigid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a8db161a88b3f763452c3e3454b4e67
https://doi.org/10.1609/aaai.v35i7.16764
https://doi.org/10.1609/aaai.v35i7.16764
Autor:
Ming C. Lin, Junbang Liang
Publikováno v:
Computational Visual Media, Vol 7, Iss 2, Pp 159-167 (2020)
Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits. However, their development is limited by practical constraints, such as accurate sizing of the body and realism of demonstratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ca8c8de91081d7105185870997ac8c
https://doi.org/10.1007/s41095-020-0189-1
https://doi.org/10.1007/s41095-020-0189-1
Autor:
Junbang Liang, Ming Lin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c4325e00d0c97cce0d7de89a296862f
https://doi.org/10.1007/978-3-031-19836-6_39
https://doi.org/10.1007/978-3-031-19836-6_39
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 1:6-13
Purpose: In this paper, we describe a method for recovering the tissue properties directly from medical images and study the correlation of tissue (i.e., prostate) elasticity with the aggressiveness of prostate cancer using medical image analysis. Me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5dd4883af2d8b54954c653908c7ead1
https://doi.org/10.1109/tmrb.2019.2895785
https://doi.org/10.1109/tmrb.2019.2895785