Proceedings of the Advances in Robotics 2017
DOI: 10.1145/3132446.3134888
|View full text |Cite
|
Sign up to set email alerts
|

An Optimization Based Inverse Kinematics of Redundant Robots Avoiding Obstacles and Singularities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(7 citation statements)
references
References 17 publications
0
7
0
Order By: Relevance
“…Huang et al [11] classify methods for mitigating the adverse effects of singularities into (1) damped least-squares regularization of the robot Jacobian [12,13,14], which encompasses tracking eigenvalues to set the regularization coefficient [15,16], (2) null-space control of redundant manipulators [17,18,19,20], and (3) interpolation of joint angles between inverse-kinematic solutions on each side of the singularity. Chembuly and Vorganti (2017) [21] control a redundant planar robot without the eigenvalue decomposition in the null-space methods. Buss and Kim [22] apply a varying amount of regularization to different eigenvalues to effect greater control near the singularity.…”
Section: Prior Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Huang et al [11] classify methods for mitigating the adverse effects of singularities into (1) damped least-squares regularization of the robot Jacobian [12,13,14], which encompasses tracking eigenvalues to set the regularization coefficient [15,16], (2) null-space control of redundant manipulators [17,18,19,20], and (3) interpolation of joint angles between inverse-kinematic solutions on each side of the singularity. Chembuly and Vorganti (2017) [21] control a redundant planar robot without the eigenvalue decomposition in the null-space methods. Buss and Kim [22] apply a varying amount of regularization to different eigenvalues to effect greater control near the singularity.…”
Section: Prior Methodsmentioning
confidence: 99%
“…for n joints and γ [k] is a scalar [21]. Multiple guiding coefficients are elements of column vector γ…”
Section: Conflicts Of Interest the Author Declares Has Nonementioning
confidence: 99%
“…Bagheri et al [21] utilized neural networks to determine the IK solutions for 6 DOF robot. Satish and Hari [22] used an optimization-based approach to determine IK solutions for a redundant manipulator in a cluttered environment with constraints of obstacle and singularities avoidance. This algorithm also eliminates the use of the inverse of Jacobian to increase the computation effectiveness [22].…”
Section: Introductionmentioning
confidence: 99%
“…Despite its fast solving speed and high accuracy, the analytical method is only applicable to manipulators with simple structures. For complex, geometrically structured systems, the solution of their nonlinear trigonometric equations is too complex and does not always have analytical expressions, so the analytical solution cannot be guaranteed [6]. In this case, it is necessary to use the iterative method and optimization method.…”
Section: Introductionmentioning
confidence: 99%