2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015
DOI: 10.1109/iros.2015.7353948
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A dual quaternion linear-quadratic optimal controller for trajectory tracking

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Cited by 13 publications
(8 citation statements)
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“…In this work, we assume that the desired trajectory, x d (t), is generated online by the surgeon through teleoperation or comanipulation. In this case, trajectory tracking controllers that require future knowledge of the trajectory [42] cannot be used, and a set-point regulator given by the solution of Problem 12 is a proper choice. The vector-field inequality for dynamic elements requires the following: 1) A function d d(q, t) ∈ R that encodes the (signed) distance between the two collidable entities.…”
Section: B Differential Kinematicsmentioning
confidence: 99%
“…In this work, we assume that the desired trajectory, x d (t), is generated online by the surgeon through teleoperation or comanipulation. In this case, trajectory tracking controllers that require future knowledge of the trajectory [42] cannot be used, and a set-point regulator given by the solution of Problem 12 is a proper choice. The vector-field inequality for dynamic elements requires the following: 1) A function d d(q, t) ∈ R that encodes the (signed) distance between the two collidable entities.…”
Section: B Differential Kinematicsmentioning
confidence: 99%
“…Unit dual quaternions have proven to be a powerful mathematical tool in robotics, not only in the representation of rigid motions, but also in robot modeling (Adorno 2011;Selig 2005), robot design (Perez and McCarthy, 2004), and control (Pham et al, 2010;Xiangke Wang et al, 2012;Figueredo et al, 2013;Wang and Yu, 2013;Marinho et al, 2015;Kussaba et al, 2017). They are more compact and computationally efficient than homogeneous transformation matrices and also do not present representational singularities (Adorno, 2011;Adorno and Fraisse, 2016).…”
Section: Fundamentals Of Dual Quaternion Algebramentioning
confidence: 99%
“…Simulations highlighted the effectiveness of the proposed strategy in therms of its robustness and performance. Marinho et al (2015) proposed an optimal controller to efficiently balance the endeffector error and its task-space velocity, using dual quaternion algebra. Departing from the invariant error definition (Figueredo et al, 2013), they derived a perturbed time-varying linear system and then proposed an optimal criterion strategy to control the error in relation to perturbations, caused by a time-varying trajectory.…”
Section: Whole-body Controlmentioning
confidence: 99%