Zobrazeno 1 - 10
of 11 365
pro vyhledávání: '"Jeannette P So"'
Publikováno v:
JMIR Perioperative Medicine, Vol 5, Iss 1, p e40209 (2022)
BackgroundDuring the quiescent periods of the COVID-19 pandemic in 2020, we implemented a weekend-scheduled pediatric surgery program to reduce COVID-19–related backlogs. Over 100 staff members from anesthesiologists to nurses, surgeons, and admini
Externí odkaz:
https://doaj.org/article/bc5157c23f0d4c7aa795cabe1130d7f2
Autor:
Lum, Tyler Ga Wei, Li, Albert H., Culbertson, Preston, Srinivasan, Krishnan, Ames, Aaron D., Schwager, Mac, Bohg, Jeannette
This work explores conditions under which multi-finger grasping algorithms can attain robust sim-to-real transfer. While numerous large datasets facilitate learning generative models for multi-finger grasping at scale, reliable real-world dexterous g
Externí odkaz:
http://arxiv.org/abs/2410.23701
Autor:
Wang, Qiao, Schmaltz, Chester Lee, Jackson-Thompson, Jeannette, Sun, Dongchu, He, Zhuoqiong, Cai, Zhongheng, Hong, Hwanhee
In public health, it is critical for policymakers to assess the relationship between the disease prevalence and associated risk factors or clinical characteristics, facilitating effective resources allocation. However, for diseases like female breast
Externí odkaz:
http://arxiv.org/abs/2410.23580
Autor:
Wang, Qianxu, Deng, Congyue, Lum, Tyler Ga Wei, Chen, Yuanpei, Yang, Yaodong, Bohg, Jeannette, Zhu, Yixin, Guibas, Leonidas
One-shot transfer of dexterous grasps to novel scenes with object and context variations has been a challenging problem. While distilled feature fields from large vision models have enabled semantic correspondences across 3D scenes, their features ar
Externí odkaz:
http://arxiv.org/abs/2410.23039
Autor:
Wang, Huaxiaoyue, Chin, Nathaniel, Gonzalez-Pumariega, Gonzalo, Sun, Xiangwan, Sunkara, Neha, Pace, Maximus Adrian, Bohg, Jeannette, Choudhury, Sanjiban
Home robots performing personalized tasks must adeptly balance user preferences with environmental affordances. We focus on organization tasks within constrained spaces, such as arranging items into a refrigerator, where preferences for placement col
Externí odkaz:
http://arxiv.org/abs/2410.19656
Autor:
Agia, Christopher, Sinha, Rohan, Yang, Jingyun, Cao, Zi-ang, Antonova, Rika, Pavone, Marco, Bohg, Jeannette
Robot behavior policies trained via imitation learning are prone to failure under conditions that deviate from their training data. Thus, algorithms that monitor learned policies at test time and provide early warnings of failure are necessary to fac
Externí odkaz:
http://arxiv.org/abs/2410.04640
We present Points2Plans, a framework for composable planning with a relational dynamics model that enables robots to solve long-horizon manipulation tasks from partial-view point clouds. Given a language instruction and a point cloud of the scene, ou
Externí odkaz:
http://arxiv.org/abs/2408.14769
Building effective imitation learning methods that enable robots to learn from limited data and still generalize across diverse real-world environments is a long-standing problem in robot learning. We propose Equibot, a robust, data-efficient, and ge
Externí odkaz:
http://arxiv.org/abs/2407.01479
We consider a recently proposed approach to graph signal processing based on graphons. We show how the graphon-based approach to GSP applies to graphs sampled from a stochastic block model. We obtain a basis for the graphon Fourier transform on such
Externí odkaz:
http://arxiv.org/abs/2406.06306
Autor:
Filippon, Ignacio, Tanner, Christine, von Jackowski, Jeannette A., Schulz, Georg, Töpper, Tino, Müller, Bert
The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with roots, the crowns' positions and orientations are measurable with intraoral scans, thus avoiding any X
Externí odkaz:
http://arxiv.org/abs/2405.10433