Online Path Planning for Industrial Robots in Varying Environments Using the Curve Shortening Flow Method

被引:0
|
作者
Huptych, Marcel [1 ]
Groh, Konrad [2 ]
Roeck, Sascha [1 ]
机构
[1] Aalen Univ, Beethovenstr 1, D-73430 Aalen, Germany
[2] Univ Stuttgart, Inst Control Engn Machine Tools & Mfg Units ISW, D-70174 Stuttgart, Germany
来源
INTELLIGENT ROBOTICS AND APPLICATIONS, PT I: ICIRA 2011 | 2011年 / 7101卷
关键词
path planning; robot control; real-time; collision-free; curve shortening flow; potential field method;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Handling tasks with robots which are interacting in a shared workspace provide a high risk of collision. A new approach, the so-called "Curve Shortening Flow Method", enables a collision-free path planning method for robots within a varying environment on basis of a workspace model. Thereby a global path planning method based on geometrical curvature flow is combined with the locally and reactively acting potential field method in order to describe the obstacles' influence, whereby the obstacles are modeled as a repulsive field, which displaces the robot's planned path. This path can be formulated as a time-dependant partial differential equation, which can be solved very efficiently using explicit numerical time integration. First results show that this online method is able to generate collision-free paths robustly in real-time.
引用
收藏
页码:73 / +
页数:2
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