Towards Extending Forward Kinematic Models on Hyper-Redundant Manipulator to Cooperative Bionic Arms
نویسندگان
چکیده
منابع مشابه
A hyper-redundant manipulator
. . . a. O...O~...*..I.~..rrlr.r.,..........~.~~~~~~b~...~.~~~*.~*.~~*~~~*.~.~~~~~~.~~8~b#~~*M~906~*~ “Hyper-redundant” manipulators have a very large number of actuatable degrees of freedom. The benefits of hyper-redundant robots include the ability to avaoid obstacles, increased robustness with respect to mechanical failure, and the ability to perform new forms of robot locomotion and graspin...
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'Hyper-redundant' robot& have a very large or infinite degree of kinematic redundancy. Thi1 paper develop• methodl for determining the 'optimal' configuration• which 1ati•fy ta1k condrainb while minimizing a weighted mea1ure of mechani•m bending and e:den1ion. The1e method• are based on a continuou• 'backbone curve' which capture• the robot '• euential macro1copic geometric feature•. The Calcul...
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AbsfractThis paper presents novel and efficient kinematic modeling techniques for “hyper-redundant” robots. This approach is based on a “backbone curve” that captures the robot’s macroscopic geometric features. The inverse kinematic, or “hyper-redundancy resolution,” problem reduces to determining the time varying backbone curve behavior. To efficiently solve the inverse kinematics problem, we ...
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The inverse kinematic (IK) relationship of a manipulator is a one-to-many map which can not be learnt using a feed-forward neural network (FFN). The usual method is to learn the forward kinematic relationship using a FFN and then obtaining the IK solution through inversion of the approximate forward model. The accuracy of the inverse kinematic solution thus obtained is limited by the accuracy o...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2017
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/783/1/012056