Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems

Many problems in robotics seek to simultaneously optimize several competing objectives. A conventional approach is to create a single cost function comprised of the weighted sum of the individual objectives. Solutions to this scalarized optimization problem are Pareto optimal solutions to the origin...

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Bibliographic Details

Published in:	IEEE transactions on robotics Vol. 40; pp. 3778 - 3794
Main Authors:	Botros, Alexander, Wilde, Nils, Sadeghi, Armin, Alonso-Mora, Javier, Smith, Stephen L.
Format:	Journal Article
Language:	English
Published:	IEEE 2024
Subjects:	Cost function Costs Human-robot interaction Motion and path planning multi-objective optimization optimization and optimal control Planning Robots robust/adaptive control of robotic systems Trajectory Vectors
ISSN:	1552-3098, 1941-0468
Online Access:	Get full text
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