Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jia, Mingkai"'
Global point clouds that correctly represent the static environment features can facilitate accurate localization and robust path planning. However, dynamic objects introduce undesired ghost tracks that are mixed up with the static environment. Exist
Externí odkaz:
http://arxiv.org/abs/2405.07283
The dynamic nature of the real world is one of the main challenges in robotics. The first step in dealing with it is to detect which parts of the world are dynamic. A typical benchmark task is to create a map that contains only the static part of the
Externí odkaz:
http://arxiv.org/abs/2403.01449
In the field of robotics, the point cloud has become an essential map representation. From the perspective of downstream tasks like localization and global path planning, points corresponding to dynamic objects will adversely affect their performance
Externí odkaz:
http://arxiv.org/abs/2307.07260
Objects grasping, also known as the bin-picking, is one of the most common tasks faced by industrial robots. While much work has been done in related topics, grasping randomly piled objects still remains a challenge because much of the existing work
Externí odkaz:
http://arxiv.org/abs/2012.00316
Autor:
Jia, Mingkai1 (AUTHOR), Zheng, Haifeng1 (AUTHOR), Zhang, Yongsheng1 (AUTHOR), Zhang, Xin1 (AUTHOR) xzhangchem@tju.edu.cn
Publikováno v:
Chemistry - A European Journal. 7/11/2023, Vol. 29 Issue 39, p1-8. 8p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.