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Research PaperResearchia:202603.24086[Robotics > Robotics]

From Singleton Obstacles to Clutter: Translation Invariant Compositional Avoid Sets

Prashant Solanki

Abstract

This paper studies obstacle avoidance under translation invariant dynamics using an avoid-side travel cost Hamilton Jacobi formulation. For running costs that are zero outside an obstacle and strictly negative inside it, we prove that the value function is non-positive everywhere, equals zero exactly outside the avoid set, and is strictly negative exactly on it. Under translation invariance, this yields a reuse principle: the value of any translated obstacle is obtained by translating a single template value function. We show that the pointwise minimum of translated template values exactly characterizes the union of the translated single-obstacle avoid sets and provides a conservative inner certificate of unavoidable collision in clutter. To reduce conservatism, we introduce a blockwise composition framework in which subsets of obstacles are merged and solved jointly. This yields a hierarchy of conservative certificates from singleton reuse to the exact clutter value, together with monotonicity under block merging and an exactness criterion based on the existence of a common clutter avoiding control. The framework is illustrated on a Dubins car example in a repeated clutter field.


Source: arXiv:2603.22146v1 - http://arxiv.org/abs/2603.22146v1 PDF: https://arxiv.org/pdf/2603.22146v1 Original Link: http://arxiv.org/abs/2603.22146v1

Submission:3/24/2026
Comments:0 comments
Subjects:Robotics; Robotics
Original Source:
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arXiv: This paper is hosted on arXiv, an open-access repository
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