Zobrazeno 1 - 10
of 7 510
pro vyhledávání: '"Wang,Zhigang"'
Autor:
Wu, Ziniu, Wang, Tianyu, Zhaxizhuoma, Guan, Chuyue, Jia, Zhongjie, Liang, Shuai, Song, Haoming, Qu, Delin, Wang, Dong, Wang, Zhigang, Cao, Nieqing, Ding, Yan, Zhao, Bin, Li, Xuelong
Collecting real-world manipulation trajectory data involving robotic arms is essential for developing general-purpose action policies in robotic manipulation, yet such data remains scarce. Existing methods face limitations such as high costs, labor i
Externí odkaz:
http://arxiv.org/abs/2409.19499
Leveraging the powerful reasoning capabilities of large language models (LLMs), recent LLM-based robot task planning methods yield promising results. However, they mainly focus on single or multiple homogeneous robots on simple tasks. Practically, co
Externí odkaz:
http://arxiv.org/abs/2409.15146
Autor:
Gao, Xianqiang, Zhang, Pingrui, Qu, Delin, Wang, Dong, Wang, Zhigang, Ding, Yan, Zhao, Bin, Li, Xuelong
3D Object Affordance Grounding aims to predict the functional regions on a 3D object and has laid the foundation for a wide range of applications in robotics. Recent advances tackle this problem via learning a mapping between 3D regions and a single
Externí odkaz:
http://arxiv.org/abs/2408.13024
3D perception ability is crucial for generalizable robotic manipulation. While recent foundation models have made significant strides in perception and decision-making with RGB-based input, their lack of 3D perception limits their effectiveness in fi
Externí odkaz:
http://arxiv.org/abs/2408.05107
Infrared imaging and turbulence strength measurements are in widespread demand in many fields. This paper introduces a Physical Prior Guided Cooperative Learning (P2GCL) framework to jointly enhance atmospheric turbulence strength estimation and infr
Externí odkaz:
http://arxiv.org/abs/2408.04227
Online Imitation Learning methods struggle with the gap between extensive online exploration space and limited expert trajectories, which hinder efficient exploration due to inaccurate task-aware reward estimation. Inspired by the findings from cogni
Externí odkaz:
http://arxiv.org/abs/2408.02912
The efficient disassembly of end-of-life electric vehicle batteries(EOL-EVBs) is crucial for green manufacturing and sustainable development. The current pre-programmed disassembly conducted by the Autonomous Mobile Manipulator Robot(AMMR) struggles
Externí odkaz:
http://arxiv.org/abs/2407.06590
Recent advancements in artificial intelligence, such as computer vision and deep learning, have led to the emergence of numerous generative AI platforms, particularly for image generation. However, the application of AI-generated image tools in graph
Externí odkaz:
http://arxiv.org/abs/2406.13436
Autor:
Hong, Yuan, Fu, Zhen-Guo, Chen, Zhou-Wei-Yu, Chi, Feng, Wang, Zhigang, Zhang, Wei, Zhang, Ping
We study the resonant tunneling in double quantum dots (DQD) sandwiched between surfaces of topological insulator (TI) Bi$_2$Te$_3$, which possess strong spin-orbit coupling (SOC) and $^{d}C_{3v}$ double group symmetry. Distinct from the spin-conserv
Externí odkaz:
http://arxiv.org/abs/2406.11165
The rapid proliferation of AI-generated image tools is transforming the art and design fields, challenging traditional notions of creativity and impacting both professional and non-professional users. For the purposes of this paper, we define 'profes
Externí odkaz:
http://arxiv.org/abs/2406.10640