Zobrazeno 1 - 10
of 15 435
pro vyhledávání: '"Liang Xiao"'
Current robotic manipulators require fast and efficient motion-planning algorithms to operate in cluttered environments. State-of-the-art sampling-based motion planners struggle to scale to high-dimensional configuration spaces and are inefficient in
Externí odkaz:
http://arxiv.org/abs/2408.12831
A novel model of charged leptons is presented, which contains two basics hypotheses. The first hypothesis is that the Yukawa coupling between Higgs field and charged leptons is the weak interaction, the Higgs field is a scalar intermediate boson whic
Externí odkaz:
http://arxiv.org/abs/2408.06394
This paper introduces a unique force control and adaptation algorithm for a lightweight and low-complexity five-fingered robotic hand, namely an Integrated-Finger Robotic Hand (IFRH). The force control and adaptation algorithm is intuitive to design,
Externí odkaz:
http://arxiv.org/abs/2407.19279
Autor:
Jiang, Jun, Li, Shi-Yuan, Liang, Xiao, Liu, Yan-Rui, Qiao, Cong-Feng, Si, Zong-Guo, Yang, Hao
The inclusive production of pseudoscalar heavy quarkoniua ($\eta_c,~\eta_b$ and $B_c$) via photon-photon fusion in heavy ion ultraperipheral collision (UPC) are calculated to QCD next-to-leading order in the framework of non-relativistic QCD (NRQCD).
Externí odkaz:
http://arxiv.org/abs/2406.19735
Learning musical structures and composition patterns is necessary for both music generation and understanding, but current methods do not make uniform use of learned features to generate and comprehend music simultaneously. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2407.03361
Autor:
Liang, Xiao, Hu, Xinyu, Zuo, Simiao, Gong, Yeyun, Lou, Qiang, Liu, Yi, Huang, Shao-Lun, Jiao, Jian
Large Language Models (LLMs) have shown superior performance in various applications and fields. To achieve better performance on specialized domains such as law and advertisement, LLMs are often continue pre-trained on in-domain data. However, exist
Externí odkaz:
http://arxiv.org/abs/2406.16694
Industrial manipulators have extensively collaborated with human operators to execute tasks, e.g., disassembly of end-of-use products, in intelligent remanufacturing. A safety task execution requires real-time path planning for the manipulator's end-
Externí odkaz:
http://arxiv.org/abs/2406.08283
There has been a growing utilization of industrial robots as complementary collaborators for human workers in re-manufacturing sites. Such a human-robot collaboration (HRC) aims to assist human workers in improving the flexibility and efficiency of l
Externí odkaz:
http://arxiv.org/abs/2405.09779
Autor:
Shinde, Nikhil Uday, Liang, Xiao, Liu, Fei, Zhang, Yutong, Richter, Florian, Herbert, Sylvia, Yip, Michael C.
Surgical automation can improve the accessibility and consistency of life saving procedures. Most surgeries require separating layers of tissue to access the surgical site, and suturing to reattach incisions. These tasks involve deformable manipulati
Externí odkaz:
http://arxiv.org/abs/2405.09743
This paper presents a novel knowledge-informed graph neural planner (KG-Planner) to address the challenge of efficiently planning collision-free motions for robots in high-dimensional spaces, considering both static and dynamic environments involving
Externí odkaz:
http://arxiv.org/abs/2405.07962