2010 IEEE International Conference on Robotics and Automation 2010
DOI: 10.1109/robot.2010.5509456
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Constrained closed loop inverse kinematics

Abstract: This paper introduces a kinematically constrained closed loop inverse kinematics algorithm for motion control of robots or other articulated rigid body systems. The proposed strategy utilizes gradients of collision and joint limit potential functions to arrive at an appropriate weighting matrix to penalize and dampen motion approaching constraint surfaces. The method is particularly suitable for self collision avoidance of highly articulated systems which may have multiple collision points among several segmen… Show more

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Cited by 19 publications
(16 citation statements)
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“…9 has important characteristics which can be exploited in enforcing kinematic constraints [7], [14]. As will be described in the next section, enforcing constraints at the velocity level can be used in constrained control at the acceleration level.…”
Section: A Velocity-based Controlmentioning
confidence: 99%
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“…9 has important characteristics which can be exploited in enforcing kinematic constraints [7], [14]. As will be described in the next section, enforcing constraints at the velocity level can be used in constrained control at the acceleration level.…”
Section: A Velocity-based Controlmentioning
confidence: 99%
“…In our earlier work, we described an algorithm for solving the first-order constrained closed loop inverse kinematics (CCLIK) problem which proved to be an effective and stable solution for self collision avoidance [7], [14]. The method used a weighted least squares solution to constrain joints from violating their limits and to avoid collisions.…”
Section: Handling Kinematic Constraintsmentioning
confidence: 99%
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“…Dariush et al, in [1] and [2], used a self collision avoidance method in which a virtual surface was placed around one of the colliding body segments. The colliding point was then moved such that it slides along the direction which is tangent to the virtual surface.…”
Section: Introductionmentioning
confidence: 99%