US Air Force Seeks AI for Aerial Refuelling Precision
Automated analysis aims to replace manual oversight in complex mid-air fuel transfer operations.
1Automated Refuelling Oversight
The US Air Force is initiating a project to integrate artificial intelligence into aerial refuelling operations. By utilizing computer vision, the system aims to monitor aircraft speed, alignment, and approach velocity. This initiative seeks to replace subjective human observations with precise, data-driven assessments of one of aviation's most technically demanding and dangerous procedures.
2Technical Monitoring Mechanisms
The proposed software will analyze footage captured by tanker aircraft cameras to identify operational errors. It specifically examines the interaction between the tanker and receiving aircraft, monitoring the refuelling boom's movements. By comparing these against flight trajectories, the system detects dangerous deviations that traditional manual assessments often fail to capture during complex missions.
3Standardizing Performance Feedback
Current assessment methods rely heavily on instructor observations and manual footage reviews, which frequently lead to inconsistent judgements. The new AI solution will generate graphical overlays and colour-coded performance maps. These tools provide instructors with objective data, ensuring that crew evaluations are consistent and that specific flight manoeuvres are accurately reviewed after missions.
4Small Business Innovation Integration
This project is managed under the Small Business Innovation Research programme, which invites private developers to solve specific military requirements. Interested parties must submit their applications by November 25, 2026. The goal is to develop a functional prototype that integrates seamlessly with existing military training frameworks and operational workflows for various aircraft.
5Focus on KC-46 Pegasus
Initial development efforts are concentrated on the KC-46 Pegasus tanker, which already utilizes remote vision equipment for fuel transfer. Although the aircraft has faced persistent technical difficulties with its viewing systems, the Air Force intends to leverage this existing camera infrastructure to support the new automated analysis software and enhance overall boom operator performance.
6Interactive Training Environments
Military planners envision an interactive review environment where pilots and instructors can examine manoeuvres from multiple perspectives. The technology is designed to eventually connect with flight simulators, virtual reality, and augmented reality platforms. This integration aims to create a comprehensive training ecosystem that improves pilot proficiency through detailed, automated post-flight performance analysis.
7Expanding Military Applications
While the primary focus remains on aerial refuelling, the solicitation highlights potential applications beyond this specific domain. The Department of Defense is exploring how this automated assessment technology could be applied to other aviation activities. This suggests a broader strategy to modernize training across the entire military aviation sector using scalable machine learning solutions.
8Strategic Operational Impact
By reducing dependence on human judgement, the Air Force aims to significantly improve safety and operational efficiency. The transition from manual oversight to AI-assisted evaluation marks a shift toward more rigorous, data-backed training standards. This technological evolution is essential for maintaining superiority in complex aerial manoeuvres while minimizing risks during critical fuel delivery.
Original article: Latest from TechRadar — US Air Force Seeks AI for Aerial Refuelling Precision