Industry Briefing
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U.S. Air Force Transforms Aircraft Inspections with Asylon's Robot Dog and Drones
The U.S. Air Force's Warner Robins Air Logistics Center has awarded Asylon a Phase III SBIR contract to advance the MARIA system, integrating the Guardian drone and DroneDog robot dog for automated aircraft inspections. This system allows for rapid digital mapping of aircraft, significantly reducing inspection time from days to hours while eliminating the risks associated with manual high-altitude checks. The collaboration between the DroneDog and Guardian drone enables comprehensive inspections, identifying anomalies and defects autonomously. The data is transmitted in real-time to the DroneIQ platform, allowing maintenance personnel to review results through 2D workflows or 3D digital twin views. The system's core value lies in its speed and consistency, ensuring that inspections cover the same points each time, thus minimizing the randomness of manual checks. Currently programmed for the Lockheed C-5 and C-130 aircraft, the long-term goal is to expand the system's capabilities across all Warner Robins aircraft types and the broader Air Force logistics framework. Asylon aims to enhance the MARIA system with advanced AI anomaly detection and explore humanoid fleet management for concurrent maintenance tasks.
Robotic Inspection Aerospace Technology Drone Technology Automation Military Logistics
Asylon's MARIA System Enhances Aircraft Inspections for U.S. Air Force
Asylon has secured a Phase Three contract with the U.S. Air Force's Warner Robins Air Logistics Complex to deploy its Multi-modal Autonomous Robotics for Inspection of Aircraft (MARIA) system. This initiative aims to streamline aircraft inspections by integrating air and ground robotic platforms, significantly reducing the time for general visual inspections while enhancing consistency in maintenance tasks. The MARIA system combines Asylon's Guardian unmanned aircraft with the DroneDog Q-UGV, utilizing the Range autonomy software and DroneIQ command-and-control system for efficient inspection management. The significance of this deployment lies in its potential to transform aircraft maintenance operations. By automating inspections, the MARIA system not only improves inspection quality but also mitigates the risks associated with labor-intensive tasks. The integration of imagery, LiDAR data, and telemetry into a single platform allows maintenance personnel to make informed decisions quickly, thereby enhancing aircraft readiness without increasing manpower demands. This project marks a pivotal shift in how the Air Force approaches maintenance, leveraging autonomous technologies to optimize operational efficiency. Looking ahead, the success of the MARIA deployment at Warner Robins could lead to broader adoption of these technologies across military maintenance organizations. No further timeline was disclosed at the time of publication, but the ongoing collaboration between Asylon and the Air Force may pave the way for future advancements in defense sustainment operations, particularly in the realm of autonomous inspections and maintenance support.
Military
Beyond the Drone: Percepto’s New Platform Brings AI to Infrastructure Inspections
Percepto has unveiled its next-generation inspection software at the InnovateEnergy Week conference, which is currently taking place in The Woodlands, Texas. This new platform aims to enhance the capabilities of energy companies, particularly in the oil, gas, and electric utility sectors, by providing actionable data that is crucial for their operations. The launch reflects the industry's growing need for advanced technology to optimize infrastructure inspections and improve efficiency. By integrating artificial intelligence into their inspection processes, Percepto seeks to revolutionize how companies manage and analyze their energy resources, ultimately supporting their production goals.
Applications Drone News Drone News Feeds Drones in the News Energy infrastructure
AI agents enhance autonomous inspections, revamping manual approval processes for drones and ground robots by DataRobot, Chevron, and NVIDIA.
DataRobot has announced a collaboration with Chevron U.S.A. Inc., a subsidiary of Chevron Corporation, to implement agent-based AI in edge environments. This partnership aims to enhance autonomous patrol and inspection operations at Chevron facilities. By leveraging advanced AI technology, the initiative seeks to improve operational efficiency and safety in the company's infrastructure.
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