SOURCE: RAUNAK KUNDE / NEWS BEAT / IDRW.ORG
The upcoming Twin Engine Deck-Based Fighter (TEDBF), a flagship project of India’s indigenous defence aviation programs, is set to leverage Artificial Intelligence (AI) to a significant degree, inheriting advanced features from the Advanced Medium Combat Aircraft (AMCA) program. One standout capability is the AI-assisted automatic landing and take-off system, designed specifically for carrier operations. This feature is poised to elevate the safety, efficiency, and reliability of naval aviation operations, making the TEDBF a leader in its class.
Carrier-based fighter operations are among the most demanding in military aviation. Landings, in particular, involve high stress and razor-thin margins for error due to factors such as Limited deck space, Moving carriers affected by waves and wind and Unpredictable weather conditions.
The AI-assisted landing and take-off system in the TEDBF will allow the aircraft to perform these maneuvers autonomously, with minimal input from the pilot.
By automating critical processes, the AI system minimizes the chances of human error, which is particularly important during stressful carrier landings. AI can compensate for adverse conditions like low visibility, strong crosswinds, or carrier motion, ensuring safer operations.
The AI-driven system gives the TEDBF an edge over modern naval fighters, including the F-35C and F-35B, which lack comparable capabilities. This positions the TEDBF as a frontrunner in innovation and usability for carrier-based operations.
Automated take-offs and landings can streamline carrier operations, reducing downtime and increasing mission readiness. Precise AI-controlled maneuvers can save fuel and reduce stress on landing gear, extending the aircraft’s operational lifespan.
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