RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways

• URL: http://arxiv.org/abs/2601.16424v1
• Date: Fri, 23 Jan 2026 03:33:52 GMT
• Title: RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways
• Authors: Mingi Jeong, Alberto Quattrini Li,
• Abstract summary: We present RENEW, a global path planner for Autonomous Surface Vehicle (ASV) in dynamic environments with external disturbances.<n>We introduce a unified risk- and energy-aware strategy that ensures safety by dynamically identifying non-navigable regions.<n>Inspired by maritime contingency planning, it employs a best-effort strategy to maintain control under adverse conditions.
• Score: 10.620311022921205
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: We present RENEW, a global path planner for Autonomous Surface Vehicle (ASV) in dynamic environments with external disturbances (e.g., water currents). RENEW introduces a unified risk- and energy-aware strategy that ensures safety by dynamically identifying non-navigable regions and enforcing adaptive safety constraints. Inspired by maritime contingency planning, it employs a best-effort strategy to maintain control under adverse conditions. The hierarchical architecture combines high-level constrained triangulation for topological diversity with low-level trajectory optimization within safe corridors. Validated with real-world ocean data, RENEW is the first framework to jointly address adaptive non-navigability and topological path diversity for robust maritime navigation.

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