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Computing inverse kinematics with linear programming

Published: 07 November 2005 Publication History

Abstract

Inverse Kinematics (IK) is a popular technique for synthesizing motions of virtual characters. In this paper, we propose a Linear Programming based IK solver (LPIK) for interactive control of arbitrary multibody structures. There are several advantages of using LPIK. First, inequality constraints can be handled, and therefore the ranges of the DOFs and collisions of the body with other obstacles can be handled easily. Second, the performance of LPIK is comparable or sometimes better than the IK method based on Lagrange multipliers, which is known as the best IK solver today. The computation time by LPIK increases only linearly proportional to the number of constraints or DOFs. Hence, LPIK is a suitable approach for controlling articulated systems with large DOFs and constraints for real-time applications.

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Cited By

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  • (2020)Stable-by-Design Kinematic Control Based on OptimizationIEEE Transactions on Robotics10.1109/TRO.2019.296366536:3(644-656)Online publication date: Jun-2020
  • (2020)A Study on Sparse Hierarchical Inverse Kinematics Algorithms for Humanoid RobotsIEEE Robotics and Automation Letters10.1109/LRA.2019.29548205:1(235-242)Online publication date: Jan-2020
  • (2019)Sparse Optimization of Contact Forces for Balancing Control of Multi-Legged HumanoidsIEEE Robotics and Automation Letters10.1109/LRA.2019.28943794:2(1117-1124)Online publication date: Apr-2019
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  1. Computing inverse kinematics with linear programming

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    cover image ACM Conferences
    VRST '05: Proceedings of the ACM symposium on Virtual reality software and technology
    November 2005
    270 pages
    ISBN:1595930981
    DOI:10.1145/1101616
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 07 November 2005

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    Author Tags

    1. inverse kinematics
    2. linear programming
    3. real-time motion synthesis

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    Cited By

    View all
    • (2020)Stable-by-Design Kinematic Control Based on OptimizationIEEE Transactions on Robotics10.1109/TRO.2019.296366536:3(644-656)Online publication date: Jun-2020
    • (2020)A Study on Sparse Hierarchical Inverse Kinematics Algorithms for Humanoid RobotsIEEE Robotics and Automation Letters10.1109/LRA.2019.29548205:1(235-242)Online publication date: Jan-2020
    • (2019)Sparse Optimization of Contact Forces for Balancing Control of Multi-Legged HumanoidsIEEE Robotics and Automation Letters10.1109/LRA.2019.28943794:2(1117-1124)Online publication date: Apr-2019
    • (2018)Neural-Dynamic Based Synchronous-Optimization Scheme of Dual Redundant Robot ManipulatorsFrontiers in Neurorobotics10.3389/fnbot.2018.0007312Online publication date: 8-Nov-2018
    • (2018)Whole-Body Kinematic Control of Nonholonomic Mobile Manipulators Using Linear ProgrammingJournal of Intelligent and Robotic Systems10.1007/s10846-017-0713-491:2(263-278)Online publication date: 1-Aug-2018
    • (2017)Inverse kinematics problems with exact Hessian matricesProceedings of the 10th International Conference on Motion in Games10.1145/3136457.3136464(1-6)Online publication date: 8-Nov-2017
    • (2016)Parsimonious Kinematic Control of Highly Redundant RobotsIEEE Robotics and Automation Letters10.1109/LRA.2015.25062591:1(65-72)Online publication date: Jan-2016
    • (2009)Prioritizing linear equality and inequality systemsProceedings of the 2009 IEEE international conference on Robotics and Automation10.5555/1703435.1703553(724-729)Online publication date: 12-May-2009
    • (2009)Prioritizing linear equality and inequality systems: Application to local motion planning for redundant robots2009 IEEE International Conference on Robotics and Automation10.1109/ROBOT.2009.5152293(2939-2944)Online publication date: May-2009
    • (2008)Resolve redundancy with constraints for obstacle and singularity avoidance subgoalsInternational Journal of Robotics and Automation10.5555/1750486.175049023:1(22-30)Online publication date: 1-Jan-2008
    • Show More Cited By

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