2011
DOI: 10.1016/j.cag.2010.12.011
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A projected back-tracking line-search for constrained interactive inverse kinematics

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Cited by 9 publications
(6 citation statements)
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“…This ensures that the optimization can be terminated at any point, which is useful in practical “online” settings where patient-tailored pulses must be designed quickly. We investigated four different algorithms that are both monotone and feasible: (1) projected gradient descent algorithm with backtrack line search [35], (2) projected Levenberg-Marquardt (LM) algorithm [36], (3) interior point algorithm with backtrack line search, and (4) MATLAB ‘fmincon’ function using active-set solver. We implemented the algorithms and compared their speed in MATLAB on an Intel Xeon 3.3 GHz 4-core desktop with 8 GB memory.…”
Section: Theorymentioning
confidence: 99%
“…This ensures that the optimization can be terminated at any point, which is useful in practical “online” settings where patient-tailored pulses must be designed quickly. We investigated four different algorithms that are both monotone and feasible: (1) projected gradient descent algorithm with backtrack line search [35], (2) projected Levenberg-Marquardt (LM) algorithm [36], (3) interior point algorithm with backtrack line search, and (4) MATLAB ‘fmincon’ function using active-set solver. We implemented the algorithms and compared their speed in MATLAB on an Intel Xeon 3.3 GHz 4-core desktop with 8 GB memory.…”
Section: Theorymentioning
confidence: 99%
“…where w RAHx and w RAHo are weights that adjust the relative importance of the position and orientation goals, and w RAH a a ; w RAH h a are weights that adjust the relative importance of the anthropomorphic metric for the arm and the hand, respectively. Hence, the mapping problem becomes minimize F RAH q RAH ð Þ (17) subject to the inequality constraints of joints' limits…”
Section: Deriving Humanlike Robot Hand Posturesmentioning
confidence: 99%
“…In Ref. [17], the process of manipulating the pose of an articulated figure was approached as a nonlinear, constrained optimization problem. Finally, in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Σε ορισμένες μελέτες προτάθηκαν συγκεκριμένες μεθοδολογίες, ώστε να περιγραφούν και να μοντελοποιηθούν οι εξαρτήσεις μεταξύ των γωνιών των ανθρώπινων αρθρώσεων, επιτυγχάνοντας έτσι ανθρωπομορφική ρομποτική κίνηση [56]. Στην γενική περίπτωση ρομποτικών συστημάτων με πολλαπλούς/πλεονάζοντες βαθμούς ελευθερίας, το πρόβλημα της αντιστοίχισης της ανθρώπινης κίνησης σε ρομποτική κίνηση, διατυπώνεται ως ένα μη γραμμικό πρόβλημα βελτιστοποίησης με περιορισμούς [24,56,57].…”
Section: αντιστοίχιση της ανθρώπινης κίνησης σε ανθρωπομορφική ρομποτική κίνησηunclassified
“…Some of them proposed also methodologies to describe and model the dependencies among the human joint angles, acquiring anthropomorphic robot motion [83]. For the general case of highly articulated figures and multi-DoF robot artifacts the human to robot motion mapping problem is typically formulated as constrained non-linear optimization problem [24,56,57].…”
Section: Mapping Human To Anthropomorphic Robot Motionmentioning
confidence: 99%