Optimization-based approach to path planning for closed chain robot systems
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Publication:5403422
DOI10.2478/v10006-011-0052-8zbMath1283.93206OpenAlexW2090869184MaRDI QIDQ5403422
Jacek Błaszczyk, Wojciech Szynkiewicz
Publication date: 26 March 2014
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2478/v10006-011-0052-8
Nonlinear programming (90C30) Interior-point methods (90C51) Automated systems (robots, etc.) in control theory (93C85)
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Uses Software
Cites Work
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- Constructing roadmaps of semi-algebraic sets. I: Completeness
- A practical guide to splines
- An interior-point algorithm for nonconvex nonlinear programming
- Parallel robots
- Failure of global convergence for a class of interior point methods for nonlinear programming
- Interior-point methods for nonconvex nonlinear programming: Filter methods and merit functions
- A globally convergent primal-dual interior-point filter method for nonlinear programming
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Object Library of Algorithms for Dynamic Optimization Problems: Benchmarking SQP and Nonlinear Interior Point Methods
- Stratified Deformation Space and Path Planning for a Planar Closed Chain with Revolute Joints
- A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties
- An Interior Point Algorithm for Large-Scale Nonlinear Programming
- Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
- Planning Algorithms
- A trust region method based on interior point techniques for nonlinear programming.
- Benchmarking optimization software with performance profiles.
- Nonlinear programming without a penalty function.
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