Zobrazeno 1 - 10
of 9 319
pro vyhledávání: '"EFI)"'
Autor:
Li, Haoran, Ford, Christopher J., Lu, Chenghua, Lin, Yijiong, Bianchi, Matteo, Catalano, Manuel G., Psomopoulou, Efi, Lepora, Nathan F.
For tendon-driven multi-fingered robotic hands, ensuring grasp adaptability while minimizing the number of actuators needed to provide human-like functionality is a challenging problem. Inspired by the Pisa/IIT SoftHand, this paper introduces a 3D-pr
Externí odkaz:
http://arxiv.org/abs/2406.12731
Autor:
Yang, Max, Lu, Chenghua, Church, Alex, Lin, Yijiong, Ford, Chris, Li, Haoran, Psomopoulou, Efi, Barton, David A. W., Lepora, Nathan F.
Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity still remains a significant challenge. In this paper, we present AnyRo
Externí odkaz:
http://arxiv.org/abs/2405.07391
Autor:
Fadeeva, Anastasiia, Schlattner, Philippe, Maksai, Andrii, Collier, Mark, Kokiopoulou, Efi, Berent, Jesse, Musat, Claudiu
The adoption of tablets with touchscreens and styluses is increasing, and a key feature is converting handwriting to text, enabling search, indexing, and AI assistance. Meanwhile, vision-language models (VLMs) are now the go-to solution for image und
Externí odkaz:
http://arxiv.org/abs/2402.15307
Autor:
Wang, Ke, Ortiz-Jimenez, Guillermo, Jenatton, Rodolphe, Collier, Mark, Kokiopoulou, Efi, Frossard, Pascal
Label noise is a pervasive problem in deep learning that often compromises the generalization performance of trained models. Recently, leveraging privileged information (PI) -- information available only during training but not at test time -- has em
Externí odkaz:
http://arxiv.org/abs/2310.06600
Autor:
Mao, Xiaofeng, Xu, Yucheng, Wen, Ruoshi, Kasaei, Mohammadreza, Yu, Wanming, Psomopoulou, Efi, Lepora, Nathan F., Li, Zhibin
Imitation learning for robot dexterous manipulation, especially with a real robot setup, typically requires a large number of demonstrations. In this paper, we present a data-efficient learning from demonstration framework which exploits the use of r
Externí odkaz:
http://arxiv.org/abs/2307.04619
Autor:
Fatma Kusuma Mahanani, Sukma Adi Galuh Amawidyati, Pundani Eki Pratiwi, Bayu Wiratama, Efi Febriyanti, Bayu Arinto, Anik Rahmawaty, Rifqi Nurrahma Krisnawati, Deo Dwi Kusuma Wardhana
Publikováno v:
Dinamisia, Vol 8, Iss 4, Pp 1129-1138 (2024)
UMKM bermanfaat pada meningkatnya daya beli masyarakat dan kesejahteraan ekonomi masyarakat, serta untuk mempromosikan budaya dan tempat wisata yang dapat meningkatkan pendapatan negara pada sektor tersebut. Salah satu pelaku UMKM Semarangan yang mer
Externí odkaz:
https://doaj.org/article/1b140eff15144f79b56156c435c6d11c
Rounded notch method of femoral endarterectomy offers mechanical advantages in finite element models
Objective: Use of a vascular punch to produce circular heel and toe arteriotomies for femoral endarterectomy with patch angioplasty is a novel technique. This study investigated the plausibility of this approach and the mechanical advantages of the t
Externí odkaz:
http://arxiv.org/abs/2305.19378
Autor:
Kossen, Jannik, Collier, Mark, Mustafa, Basil, Wang, Xiao, Zhai, Xiaohua, Beyer, Lucas, Steiner, Andreas, Berent, Jesse, Jenatton, Rodolphe, Kokiopoulou, Efi
We introduce Three Towers (3T), a flexible method to improve the contrastive learning of vision-language models by incorporating pretrained image classifiers. While contrastive models are usually trained from scratch, LiT (Zhai et al., 2022) has rece
Externí odkaz:
http://arxiv.org/abs/2305.16999
Determining the key elements of interconnected infrastructure and complex systems is paramount to ensure system functionality and integrity. This work quantifies the dominance of the networks' nodes in their respective neighborhoods, introducing a no
Externí odkaz:
http://arxiv.org/abs/2305.09589