CMC-Opt: Constraint Manifold with Corners for Inequality-Constrained Optimization

Fuente: arXiv
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Main Authors: Zhang, Yetong, Dellaert, Frank
Format: Preprint
Published: 2026
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author Zhang, Yetong
Dellaert, Frank
author_facet Zhang, Yetong
Dellaert, Frank
contents We introduce a manifold-based framework for addressing optimization problems with equality and inequality constraints found in robotics. Our approach transforms the original problem into an unconstrained optimization problem directly on the constrained state space. To achieve this, we introduce ``constraint manifolds with corners" to represent the state space satisfying mixed nonlinear equality and inequality constraints. We further extend manifold optimization algorithms to operate on this new topological structure. We demonstrate the power and robustness of our framework in the context of a large-scale kinodynamic planning problem, successfully generating dynamically feasible trajectories where standard methods fail.
format Preprint
id arxiv_https___arxiv_org_abs_2605_20796
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle CMC-Opt: Constraint Manifold with Corners for Inequality-Constrained Optimization
Zhang, Yetong
Dellaert, Frank
Robotics
We introduce a manifold-based framework for addressing optimization problems with equality and inequality constraints found in robotics. Our approach transforms the original problem into an unconstrained optimization problem directly on the constrained state space. To achieve this, we introduce ``constraint manifolds with corners" to represent the state space satisfying mixed nonlinear equality and inequality constraints. We further extend manifold optimization algorithms to operate on this new topological structure. We demonstrate the power and robustness of our framework in the context of a large-scale kinodynamic planning problem, successfully generating dynamically feasible trajectories where standard methods fail.
title CMC-Opt: Constraint Manifold with Corners for Inequality-Constrained Optimization
topic Robotics
url https://arxiv.org/abs/2605.20796