Zobrazeno 1 - 10
of 12 271
pro vyhledávání: '"An, Wenzhe"'
Autor:
Chen, Jingguang, Liu, Wenzhe, Wang, Jiajun, Zhang, Ruo-Yang, Cui, Xiaohan, Guan, Fang, Shi, Lei, Zi, Jian, Chan, C. T.
Topological properties of photonic structures described by Hamiltonian matrices have been extensively studied in recent years. Photonic systems are often open systems, and their coupling with the environment is characterized by scattering matrices, w
Externí odkaz:
http://arxiv.org/abs/2411.04666
Tensegrity robots, characterized by a synergistic assembly of rigid rods and elastic cables, form robust structures that are resistant to impacts. However, this design introduces complexities in kinematics and dynamics, complicating control and state
Externí odkaz:
http://arxiv.org/abs/2410.24226
In multi-agent reinforcement learning, a commonly considered paradigm is centralized training with decentralized execution. However, in this framework, decentralized execution restricts the development of coordinated policies due to the local observa
Externí odkaz:
http://arxiv.org/abs/2410.15841
Graph Neural Networks (GNNs) excel at handling graph data but remain vulnerable to adversarial attacks. Existing defense methods typically rely on assumptions like graph sparsity and homophily to either preprocess the graph or guide structure learnin
Externí odkaz:
http://arxiv.org/abs/2410.12425
Visual navigation is an essential skill for home-assistance robots, providing the object-searching ability to accomplish long-horizon daily tasks. Many recent approaches use Large Language Models (LLMs) for commonsense inference to improve exploratio
Externí odkaz:
http://arxiv.org/abs/2410.09874
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation
The process of satisfying daily demands is a fundamental aspect of humans' daily lives. With the advancement of embodied AI, robots are increasingly capable of satisfying human demands. Demand-driven navigation (DDN) is a task in which an agent must
Externí odkaz:
http://arxiv.org/abs/2410.03488
Tensegrity robots excel in tasks requiring extreme levels of deformability and robustness. However, there are challenges in state estimation and payload versatility due to their high number of degrees of freedom and unconventional shape. This paper i
Externí odkaz:
http://arxiv.org/abs/2409.05751
Autor:
Chen, Qihua, Ma, Yue, Wang, Hongfa, Yuan, Junkun, Zhao, Wenzhe, Tian, Qi, Wang, Hongmei, Min, Shaobo, Chen, Qifeng, Liu, Wei
This paper explores higher-resolution video outpainting with extensive content generation. We point out common issues faced by existing methods when attempting to largely outpaint videos: the generation of low-quality content and limitations imposed
Externí odkaz:
http://arxiv.org/abs/2409.01055
Autor:
Zhang, Ruo-Yang, Cui, Xiaohan, Zeng, Yuan-Song, Chen, Jin, Liu, Wenzhe, Wang, Mudi, Wang, Dongyang, Zhang, Zhao-Qing, Wang, Neng, Wu, Geng-Bo, Chan, C. T.
Photonic double-zero-index media, distinguished by concurrently zero-valued permittivity and permeability, exhibit extraordinary properties not found in nature. Remarkably, the notion of zero-index can be substantially expanded by generalizing the co
Externí odkaz:
http://arxiv.org/abs/2408.06182
Snapshot Compressive Imaging (SCI) relies on decoding algorithms such as CNN or Transformer to reconstruct the hyperspectral image (HSI) from its compressed measurement. Although existing CNN and Transformer-based methods have proven effective, CNNs
Externí odkaz:
http://arxiv.org/abs/2408.00629