mlsanityData to 14 Oct 2026

Robust Autonomous UAV Landing on Maritime Platforms via Multimodal Agentic AI and Active Wave Compensation

arXiv 2606.31613 ↗First posted 30 Jun 2026cs.CV cs.ROcited by 0

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Abstract (arXiv)

Autonomous aerial inspection of marine infrastructure is frequently compromised by stochastic sea states, introducing risks of high-kinetic impacts, post-landing toppling, and sensory occlusion. This paper proposes a decoupled, multi-vehicle landing framework synchronizing an Unmanned Surface Vehicle (USV) equipped with a 3-RPU stabilized platform with a robust Unmanned Aerial Vehicle (UAV). The architecture utilizes two independent Deep Reinforcement Learning (DRL) agents: a Soft Actor-Critic (SAC) agent providing high-frequency wave-motion compensation for the landing deck, and a multimodal RL agent for the UAVs final approach. Evaluated in high-fidelity maritime simulations, the system achieved a 100% landing success rate across 15 trials in wave states varying from calm to rough. Results show a mean stabilization efficacy of 87.8%, maintaining the landing surface within 1 degree of the horizontal plane for 96% of the mission duration in rough conditions, effectively contributing to safer landings.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 11 references that are in the map. First posted on arXiv 30 Jun 2026.

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References · 1

  1. 2024A Multimodal Learning-based Approach for Autonomous Landing of UAVcited by 2

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  3. 2024Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations
  4. 2025Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed
  5. 2024Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
  6. 2024Multiple Ships Cooperative Navigation and Collision Avoidance using Multi-agent Reinforcement Learning with Communication ↗
  7. 2025Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
  8. 2024Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles