arXiv (All)
open access
Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel
This paper presents a comprehensive methodology, backed by simulation and experimental results, for an adaptive mission planning strategy that is mathematically grounded in the maximization of the information-driven quantity of clarity. In particular, the methodology introduced in this work addresse
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Decision-Gated Surrogate-Assisted Stochastic Optimization with Independent High-Fidelity Certification for Photovoltaic Hosting-Capacity Planning#1105406
- Improving the efficiency, power quality, and cost-effectiveness of solar PV systems using intelligent techniques#277524
- Tuning ROS 2 for Energy-Efficient Navigation: Empirical Insights from Costmap 2D Configurations#1070414
- The Evolution of the WPI Advanced Space Design Program - An Evolving Program of Technical and Social Analysis Using the NASA Space Shuttle for Engineering Education#641428
- Reduced-Mass Orbital AI Inference via Integrated Solar, Compute, and Radiator Panels#2543
Record · ID 1356207
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive