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AI uses reinforcement learning for aircraft upset recovery and collision avoidance

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 4 sources

Researchers have developed two distinct AI systems for advanced jet trainers using reinforcement learning. One system, a Pilot Activated Recovery System (PARS), aims to enhance operational efficiency by providing AI-driven recovery maneuvers. The other system is an Automatic Ground Collision Avoidance System (AGCAS) that uses terrain server data to prevent crashes. Both systems were evaluated by domain experts and showed promising results compared to traditional methods. AI

Summary written by gemini-2.5-flash-lite from 4 sources. How we write summaries →

IMPACT These AI systems could significantly enhance flight safety and operational capabilities in advanced jet trainers.

RANK_REASON Two academic papers detailing AI systems for aircraft safety and recovery.

Read on arXiv cs.LG →

COVERAGE [4]

  1. arXiv cs.LG TIER_1 · Mahir Demir, Atahan Cilan, Seyyid Osman Sevgili, \"Ozg\"un Can Y\"ur\"utken, \"Umit Can Bekar ·

    An Aircraft Upset Recovery System with Reinforcement Learning

    arXiv:2604.24355v1 Announce Type: new Abstract: This article explores the progress made in the creation of a pilot activated recovery system (PARS) for advanced jet trainers that utilizes artificial intelligence (AI) in an effort to enhance operational efficiency. The PARS model …

  2. arXiv cs.LG TIER_1 · Seyyid Osman Sevgili, Atahan Cilan, Mahir Demir, \"Ozg\"un Can Y\"ur\"utken, \"Umit Can Bekar ·

    An Automatic Ground Collision Avoidance System with Reinforcement Learning

    arXiv:2604.24403v1 Announce Type: new Abstract: This article evaluates an artificial intelligence (AI)-based Automatic Ground Collision Avoidance System (AGCAS) designed for advanced jet trainers to enhance operational effectiveness. In the continuously evolving field of aerospac…

  3. arXiv cs.LG TIER_1 · Ümit Can Bekar ·

    An Automatic Ground Collision Avoidance System with Reinforcement Learning

    This article evaluates an artificial intelligence (AI)-based Automatic Ground Collision Avoidance System (AGCAS) designed for advanced jet trainers to enhance operational effectiveness. In the continuously evolving field of aerospace engineering, the integration of AI is crucial …

  4. arXiv cs.LG TIER_1 · Ümit Can Bekar ·

    An Aircraft Upset Recovery System with Reinforcement Learning

    This article explores the progress made in the creation of a pilot activated recovery system (PARS) for advanced jet trainers that utilizes artificial intelligence (AI) in an effort to enhance operational efficiency. The PARS model employs an advanced reinforcement learning (RL) …

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