Inverse kinematics without matrix inversion
Pechev, AN (2008) Inverse kinematics without matrix inversion In: ICRA 2008, 2008-05-19 - 2008-05-23, Pasadena, USA.
This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Cartesian space to joint space is performed in a feedback loop and as a result the new feedback inverse kinematics (FIK) law operates as a filter and does not require matrix manipulations (inversion, singular value decomposition or a computation of a damping factor). While the computational demand is greatly reduced, the performance is comparable to the one delivered by the damped least squares (DLS) law. The new algorithm is capable of escaping and avoiding kinematic singularities and in this respect it outperforms pseudo-inverse based formulations.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre|
|Identification Number :||https://doi.org/10.1109/ROBOT.2008.4543501|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:47|
|Last Modified :||09 Jun 2014 13:40|
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