Zobrazeno 1 - 10
of 9 091
pro vyhledávání: '"Zhang, XiaoLi"'
Dexterous telemanipulation is crucial in advancing human-robot systems, especially in tasks requiring precise and safe manipulation. However, it faces significant challenges due to the physical differences between human and robotic hands, the dynamic
Externí odkaz:
http://arxiv.org/abs/2408.00853
Large Vision Language Models (VLMs) extend and enhance the perceptual abilities of Large Language Models (LLMs). Despite offering new possibilities for LLM applications, these advancements raise significant security and ethical concerns, particularly
Externí odkaz:
http://arxiv.org/abs/2407.15050
Publikováno v:
Water Supply, Vol 22, Iss 10, Pp 7904-7904 (2022)
Externí odkaz:
https://doaj.org/article/1c5dd91d09c84314bc3f4b7e7c899747
Multi-modality image fusion aims at fusing specific-modality and shared-modality information from two source images. To tackle the problem of insufficient feature extraction and lack of semantic awareness for complex scenes, this paper focuses on how
Externí odkaz:
http://arxiv.org/abs/2407.06159
Autor:
Yang, Hongyang, Zhang, Boyu, Wang, Neng, Guo, Cheng, Zhang, Xiaoli, Lin, Likun, Wang, Junlin, Zhou, Tianyu, Guan, Mao, Zhang, Runjia, Wang, Christina Dan
As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and specialized knowledge, persist between the finance sector and the AI communit
Externí odkaz:
http://arxiv.org/abs/2405.14767
The proliferation of consumer IoT products in our daily lives has raised the need for secure device authentication and access control. Unfortunately, these resource-constrained devices typically use token-based authentication, which is vulnerable to
Externí odkaz:
http://arxiv.org/abs/2403.15271
Publikováno v:
Xin yixue, Vol 55, Iss 10, Pp 771-778 (2024)
Objective To investigate the efficacy and safety of 4-week cluster immunotherapy with house dust mite extracts in patients allergic to house dust mites. Methods From August 2022 to May 2024， 80 patients with house dust mite-induced allergic rhiniti
Externí odkaz:
https://doaj.org/article/7b08af3cd82c44b68cd1769d06260ed7
Autor:
Zhang, Qi1 (AUTHOR), Zhang, Xiaoli1 (AUTHOR), Lv, Zhuoheng2 (AUTHOR), Huo, Huandong2 (AUTHOR), Yuan, Ligong3 (AUTHOR), Wan, Duo1 (AUTHOR), Xie, Peipei1 (AUTHOR), Cheng, Shujun1 (AUTHOR), Zhang, Kaitai1 (AUTHOR) zhangkt@cicams.ac.cn, Zhang, Wen4 (AUTHOR) zhangwen@cicams.ac.cn, Mao, Yousheng2 (AUTHOR) youshengmao@gmail.com
Publikováno v:
Journal of Hematology & Oncology. 11/21/2024, Vol. 17 Issue 1, p1-5. 5p.
Simulation to Real-World Transfer allows affordable and fast training of learning-based robots for manipulation tasks using Deep Reinforcement Learning methods. Currently, Sim2Real uses Asymmetric Actor-Critic approaches to reduce the rich idealized
Externí odkaz:
http://arxiv.org/abs/2309.07350
Deep Reinforcement Learning has shown its capability to solve the high degrees of freedom in control and the complex interaction with the object in the multi-finger dexterous in-hand manipulation tasks. Current DRL approaches prefer sparse rewards to
Externí odkaz:
http://arxiv.org/abs/2309.07349