Real-time Adaptive Motion Planning for a Continuum Manipulator

被引:29
|
作者
Xiao, Jing [1 ]
Vatcha, Rayomand [2 ]
机构
[1] Univ N Carolina, Fac Comp Sci, Charlotte, NC 28223 USA
[2] Univ N Carolina, Charlotte, NC 28223 USA
基金
美国国家科学基金会;
关键词
HYPER-REDUNDANT MANIPULATORS; DEFORMABLE LINEAR OBJECTS; ENVIRONMENTS; KINEMATICS;
D O I
10.1109/IROS.2010.5648888
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Continuum manipulators, featuring "continuous backbone structures", are promising for deft manipulation of a wide range of objects under uncertain conditions in less-structured and cluttered environments. A multi-section trunk/tentacle robot is such a continuum manipulator. With a continuum robot, manipulation means a continuous wholearm motion, often without a clear distinction between transport and grasping. In this paper, we address the novel problem of real-time motion planning for such a robot under uncertain conditions. We present an algorithm for on-line planning the motion of a planar continuum robot for grasping a target object amid an environment of other objects with uncertain movements. Our algorithm substantially extends the RAMP paradigm [19] for real-time adaptive motion planning to this new form of whole-arm manipulation. Simulation results are promising, demonstrating the effectiveness of our approach.
引用
收藏
页码:5919 / 5926
页数:8
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