Abstract | ||
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In this paper, a new method for solving the inverse kinematics of the fingers of an anthropomorphic hand is proposed. Our approach combines a Modified Selectively Damped Least Squares (MSDLS) and Jacobian Transpose (JT) methods. The main advantages of this method with respect to the ordinary SDLS are: optimal Cartesian increment, shorter computation time and better response near singularity configurations. The original JT method exhibits a strong shattering with small magnitudes which occurs near the goal position or in the case of unreachable positions. Like in the SDLS, a damping factor was applied to each input singular vector to filter the undesirable behavior. A comparative study between the MSDLS applied to the inverse Jacobian and JT matrix is developed to investigate manipulator performance in critical end-point positions of the index finger of a commercial anthropomorphic robotic hand and also to evaluate the impact of the increment length on computation time. |
Year | DOI | Venue |
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2011 | 10.1109/ROBIO.2011.6181470 | Robotics and Biomimetics |
Keywords | DocType | ISBN |
Jacobian matrices,damping,least squares approximations,manipulator kinematics,position control,vibration control,JT matrix,JT method,Jacobian transpose method,MSDLS,anthropomorphic robotic hand,damping factor,end-point position,finger inverse kinematics,index finger,inverse Jacobian,manipulator performance,modified selectively damped least squares,optimal Cartesian increment,shattering,singular vector | Conference | 978-1-4577-2136-6 |
Citations | PageRank | References |
2 | 0.41 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Choukri Bensalah | 1 | 3 | 1.82 |
Mohamed Abderrahim | 2 | 135 | 12.27 |
Juan González-Gómez | 3 | 5 | 1.55 |