.png){kind=icon}
返回
Combining task and motion planning: A culprit detection problem
.png){kind=icon}
PRE
AI
DOI：10.1177/0278364915619022.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Solving problems combining task and motion planning requires searching across a symbolic search space and a geometric search space. Because of the semantic gap between symbolic and geometric representations, symbolic sequences of actions are not guaranteed to be geometrically feasible. This compels us to search in the combined search space, in which frequent backtracks between symbolic and geometric levels make the search inefficient. We address this problem by guiding symbolic search with rich information extracted from the geometric level through culprit detection mechanisms.
Keyword:
Combined Task and Motion Planning
Manipulation Planning
期刊
IF:
5
论文数:
2.4K
被引数:
1.5W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
查看更多内容