Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Zhang LiangJun"'
Autor:
Zhang, Zeqing, Zheng, Guangze, Ji, Xuebo, Chen, Guanqi, Jia, Ruixing, Chen, Wentao, Chen, Guanhua, Zhang, Liangjun, Pan, Jia
Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require dedicated measurement equipment and also need large human efforts to hand
Externí odkaz:
http://arxiv.org/abs/2412.02119
Autor:
Zhang, Zeqing, Jia, Ruixing, Yan, Youcan, Han, Ruihua, Lin, Shijie, Jiang, Qian, Zhang, Liangjun, Pan, Jia
The proximity perception of objects in granular materials is significant, especially for applications like minesweeping. However, due to particles' opacity and complex properties, existing proximity sensors suffer from high costs from sophisticated h
Externí odkaz:
http://arxiv.org/abs/2411.17083
Recent advances in Large Language Models (LLMs) have showcased their remarkable reasoning capabilities, making them influential across various fields. However, in robotics, their use has primarily been limited to manipulation planning tasks due to th
Externí odkaz:
http://arxiv.org/abs/2411.05212
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 12, Pp 1133-1139 (2021)
Objective To investigate the effect and underlying mechanism of artesunate (AS) on the expression of interleukin-6 (IL-6) in mouse primary hepatocytes induced by conjugate bile acids. Methods Mouse hepatocytes were isolated and primarily cultured, an
Externí odkaz:
https://doaj.org/article/d9f920796abe41ba9ac946ac8890d736
Simultaneous Localization and Mapping (SLAM) is a fundamental task in robotics, driving numerous applications such as autonomous driving and virtual reality. Recent progress on neural implicit SLAM has shown encouraging and impressive results. Howeve
Externí odkaz:
http://arxiv.org/abs/2407.18813
Excavators are crucial for diverse tasks such as construction and mining, while autonomous excavator systems enhance safety and efficiency, address labor shortages, and improve human working conditions. Different from the existing modularized approac
Externí odkaz:
http://arxiv.org/abs/2405.05861
The rapid growth of 3D Gaussian Splatting (3DGS) has revolutionized neural rendering, enabling real-time production of high-quality renderings. However, the previous 3DGS-based methods have limitations in urban scenes due to reliance on initial Struc
Externí odkaz:
http://arxiv.org/abs/2403.20032
In this work, we introduce the Virtual In-Hand Eye Transformer (VIHE), a novel method designed to enhance 3D manipulation capabilities through action-aware view rendering. VIHE autoregressively refines actions in multiple stages by conditioning on re
Externí odkaz:
http://arxiv.org/abs/2403.11461
Reinforcement learning (RL) has demonstrated its capability in solving various tasks but is notorious for its low sample efficiency. In this paper, we propose RLingua, a framework that can leverage the internal knowledge of large language models (LLM
Externí odkaz:
http://arxiv.org/abs/2403.06420
Despite significant progress in robotic systems for operation within human-centric environments, existing models still heavily rely on explicit human commands to identify and manipulate specific objects. This limits their effectiveness in environment
Externí odkaz:
http://arxiv.org/abs/2402.06798