Experiments in Underwater Feature Tracking with Performance Guarantees Using a Small AUV
October 05, 2022 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Benjamin Biggs, Hans He, James McMahon, Daniel J. Stilwell
arXiv ID
2210.02524
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
2
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
We present the results of experiments performed using a small autonomous underwater vehicle to determine the location of an isobath within a bounded area. The primary contribution of this work is to implement and integrate several recent developments real-time planning for environmental mapping, and to demonstrate their utility in a challenging practical example. We model the bathymetry within the operational area using a Gaussian process and propose a reward function that represents the task of mapping a desired isobath. As is common in applications where plans must be continually updated based on real-time sensor measurements, we adopt a receding horizon framework where the vehicle continually computes near-optimal paths. The sequence of paths does not, in general, inherit the optimality properties of each individual path. Our real-time planning implementation incorporates recent results that lead to performance guarantees for receding-horizon planning.
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