Zobrazeno 1 - 10
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pro vyhledávání: '"LI, Yutong"'
We present ViTaM-D, a novel visual-tactile framework for dynamic hand-object interaction reconstruction, integrating distributed tactile sensing for more accurate contact modeling. While existing methods focus primarily on visual inputs, they struggl
Externí odkaz:
http://arxiv.org/abs/2411.09572
Autor:
Li, Yutong, Wang, Lili
Microgrids (MGs) have been equipped with large-scale distributed energy sources (DESs), and become more vulnerable due to the low inertia characteristic. In particular, high-density misbehaving DESs caused by cascading faults bring a great challenge
Externí odkaz:
http://arxiv.org/abs/2409.11812
Large language models (LLMs) have demonstrated remarkable abilities in natural language processing. However, their deployment on resource-constrained embedded devices remains difficult due to memory and computational demands. In this paper, we presen
Externí odkaz:
http://arxiv.org/abs/2409.11424
The Multimodal Emotion Recognition challenge MER2024 focuses on recognizing emotions using audio, language, and visual signals. In this paper, we present our submission solutions for the Semi-Supervised Learning Sub-Challenge (MER2024-SEMI), which ta
Externí odkaz:
http://arxiv.org/abs/2409.04447
Grasp planning is an important task for robotic manipulation. Though it is a richly studied area, a standalone, fast, and differentiable grasp planner that can work with robot grippers of different DOFs has not been reported. In this work, we present
Externí odkaz:
http://arxiv.org/abs/2408.04738
The literature review is an indispensable step in the research process. It provides the benefit of comprehending the research problem and understanding the current research situation while conducting a comparative analysis of prior works. However, li
Externí odkaz:
http://arxiv.org/abs/2403.02574
Autor:
Wang, Lianfang, Chen, Zhangling, Liu, Zhifang, Li, Yutong, Zhao, Yunsong, Li, Hongwei, Chang, Huibin
Direct reconstruction through filtered back projection engenders metal artifacts in polychromatic computed tomography images, attributed to highly attenuating implants, which further poses great challenges for subsequent image analysis. Inpainting th
Externí odkaz:
http://arxiv.org/abs/2402.01175
The Neural Network (NN), as a black-box function approximator, has been considered in many control and robotics applications. However, difficulties in verifying the overall system safety in the presence of uncertainties hinder the deployment of NN mo
Externí odkaz:
http://arxiv.org/abs/2312.06810
Fluid interactions permeate daily human activities, with properties like density and viscosity playing pivotal roles in household tasks. While density estimation is straightforward through Archimedes' principle, viscosity poses a more intricate chall
Externí odkaz:
http://arxiv.org/abs/2311.05137
Autor:
Yu, Zhenjun, Xu, Wenqiang, Yao, Siqiong, Ren, Jieji, Tang, Tutian, Li, Yutong, Gu, Guoying, Lu, Cewu
This work presents a novel tactile perception-based method, named T-NT, for performing the needle-threading task, an application of deformable linear object (DLO) manipulation. This task is divided into two main stages: Tail-end Finding and Tail-end
Externí odkaz:
http://arxiv.org/abs/2311.02396