Uncertainty-guided informative path planning for ecological monitoring using autonomous surface vehicles under Dubins motion constraints
Autonomous surface vehicles (ASVs) enable efficient in-situ data collection for large-scale ecological monitoring; however, effective environmental mapping requires planning strategies that account for not only informative measurements, but also vehicle motion constraints and limited mission resources. Existing approaches often rely on stationary environmental models or loosely coupled planning frameworks that do not fully exploit model uncertainty when generating feasible trajectories. To addre
Record details
Published: 21 July 2026
Source: Frontiers in Robotics and AI
Category: Research
Topics: Environment
Retrieved: 21 July 2026
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ethics.ai (21 July 2026), “Uncertainty-guided informative path planning for ecological monitoring using autonomous surface vehicles under Dubins motion constraints,” evidence record 12039, https://ethics.ai/record/12039 (originally published by Frontiers in Robotics and AI).
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