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Robust Grasping Manipulation of Deformable Objects Shinichi Hirai, Tatsuhiko
Tsuboi, and Takahiro Wadat Dept. of Robotics, Ritsumeikan Univ., Kusatsu,
Shiga 525-8577, Japan *Dept. of Intelligent Mechanical Systems, Kagawa Univ.,
...
Robust Grasping Manipulation of Deformable Objects Shinichi Hirai, Tatsuhiko
Tsuboi, and Takahiro Wadat Dept. of Robotics, Ritsumeikan Univ., Kusatsu,
Shiga 525-8577, Japan *Dept. of Intelligent Mechanical Systems, Kagawa Univ.,
...
Page 412
Figure 2: Control scheme for grasping manipulation of deformable object able
object. Consequently, the motion and the deformation of a deformable object can
be specifies by the motion of positioned points. Grasping manipulation of a ...
Figure 2: Control scheme for grasping manipulation of deformable object able
object. Consequently, the motion and the deformation of a deformable object can
be specifies by the motion of positioned points. Grasping manipulation of a ...
Page 416
We have found that possible operations are achieved in several iterations. 6
Concluding Remarks We have proposed an iterative control law for the grasping
manipulation of deformable objects. The control law has been derived based on
a ...
We have found that possible operations are achieved in several iterations. 6
Concluding Remarks We have proposed an iterative control law for the grasping
manipulation of deformable objects. The control law has been derived based on
a ...
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Contents
Monday May 282001 | 1 |
Session M1B Assembly Planning Room | 31 |
Session MIC Production Systeml RoomC | 61 |
Copyright | |
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4th IEEE International algorithm analysis applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera collision components computed configuration constraints contact point coordinate cost defined deformable described developed disassembly sequences dynamic Engineering environment evaluation feasible Figure finger flexible Fukuoka function genetic algorithm geometric grasp holons IEEE International Symposium information entropy Japan liaison Lie algebra machine manipulation matrix mechanical method mobile robot module motion planning node object obstacles obtained operation optimal parameters path planning Petri nets Planning Soft Research precedence graph problem proposed Radon transform represented Robotics and Automation rotation scheduling Screw Theory selected self-organizing map sensor shown in Fig simulation Soft Research Park solutions specification station step structure subassembly Symposium on Assembly Task Planning Soft tion tool trajectory vector velocity