MANIPULATION
Finding Grasping Configurations of a Dexterous Hand and an Industrial Robot
Jan Rosell, Ximena Alejandra Rojas Sierra, Leopold Palomo, Raúl Suárez
- 发表年份
- 2006
- 引用次数
- 10
摘要
Given an industrial robot equipped with a dexterous hand and an object to be grasped with four grasping points determined on its faces, this paper deals with the problem of finding the joint configurations that allow to grasp that object. The proposed solution is based on an iterative optimization method that consecutively moves the joint that best contributes to reduce the distance of the fingertips to the desired locations. The method is particularized for a Stäubli RX90 robot and the dexterous hand MA-I with four fingers developed at the IOC’s Robotics Lab.
关键词
GRASPArtificial intelligenceObject (grammar)RobotRobot handComputer visionComputer scienceRobotic handRoboticsJoint (building)
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002