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    <loc>https://www.luffy.ai/research/drones-that-dont-crash-onboard-adaptive-ai-for-fault-tolerant-flight</loc>
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    <lastmod>2026-03-26</lastmod>
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      <image:title>RESEARCH - Drones That Don’t Crash: Onboard Adaptive AI for Fault Tolerant Flight - Make it stand out</image:title>
      <image:caption>Data on the top six fatal accident catagories.</image:caption>
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  </url>
  <url>
    <loc>https://www.luffy.ai/research/pids-in-motor-drives-limits-and-an-adaptive-ai-alternative</loc>
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    <lastmod>2026-03-26</lastmod>
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      <image:title>RESEARCH - PIDs in Motor Drives: Limits and an Adaptive AI Alternative - Make it stand out</image:title>
      <image:caption>Equation of Parallel form PID</image:caption>
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    <image:image>
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      <image:title>RESEARCH - PIDs in Motor Drives: Limits and an Adaptive AI Alternative - Make it stand out</image:title>
      <image:caption>PID Compensation</image:caption>
    </image:image>
    <image:image>
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      <image:title>RESEARCH - PIDs in Motor Drives: Limits and an Adaptive AI Alternative - Make it stand out</image:title>
      <image:caption>Comparison between PID, Gain-scheduled PID and MPC</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/9d606fa1-79e8-4d44-acab-ca3182f2d68e/image-2.png</image:loc>
      <image:title>RESEARCH - PIDs in Motor Drives: Limits and an Adaptive AI Alternative - Make it stand out</image:title>
      <image:caption>How an Adaptive Neural Controller compares to existing control methods.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/d2692cf5-e29c-4f24-bf14-dbe774a44f23/output_animation.gif</image:loc>
      <image:title>RESEARCH - PIDs in Motor Drives: Limits and an Adaptive AI Alternative - Make it stand out</image:title>
      <image:caption>An Adaptive Neural Controller compensating for load changes compared to a set of PIDs.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.luffy.ai/research/outperform-ftxm8</loc>
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    <priority>0.5</priority>
    <lastmod>2026-03-27</lastmod>
    <image:image>
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      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Many Deep RL breakthroughs were developed on nonphysical benchmarks like the Atari57 challenge [2].</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/877d288d-b3b6-4ac2-9082-e5e1451d1f10/overfitting.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Overfitting due to over-parameterisation</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/e8e36e3b-3f8c-4503-a76c-7e5205d33bc0/neuro2.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Neuroevolution evolves network structure alongside parameters</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/cfd45f3c-ad47-4428-92bc-012d8a0f7ba7/controlchallenges.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Identified Challenges</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/68a35b60-f2ec-40fc-8590-45d4cb9bc06d/outperformingnetworks.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Luffy outperforms the competition in realistic settings. Data reproduced from [13].</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/cc880f14-fe72-44f1-aa00-06c3192f58af/inputsamples.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Luffy’s controllers take fewer unique samples to train than Deep RL, equating to higher sample efficiency.</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/d84b20da-1e2a-45a8-a042-76b3bf06efb6/perwatt.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Luffy’s networks are 100s of times more compute and memeory efficient than Deep RL.</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/806e1dcc-eaa6-45cc-9f45-b246f2223303/clockspeed.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Luffy’s controllers execute faster than any competing AI solution. *indicates results reproduced from [14].</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/7fc0879a-3326-4bc9-8183-2f7a3ff9f10d/kflops.jpg</image:loc>
      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Luffy AI’s controllers execute faster than any competing AI solution. *indicates results reproduced from [14].</image:caption>
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    <image:image>
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      <image:title>RESEARCH - Outperforming Deep Reinforcement Learning with Luffy AI - Make it stand out</image:title>
      <image:caption>Drone flying autonomously using a Luffy AI controller.</image:caption>
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  </url>
  <url>
    <loc>https://www.luffy.ai/research/whyindustryneedsai-hdhly</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-03-27</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/1765813484896-0T634RBYYH2BPX6P0OVX/PIDMPCAI.jpg</image:loc>
      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>Something more powerful and modern is needed to change outcomes for companies. Adaptive Intelligence is the revolutionary control technique that has been made possible through the computing power of artificial intelligence.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/69402cdd7b0ea22f436eb48e/1765813484906-4PPXU9QC7FFIGI2L472H/loops.jpg</image:loc>
      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>PID Control loops remain extremely unoptimised.</image:caption>
    </image:image>
    <image:image>
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      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>Graphs of pendulum position control with PID</image:caption>
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    <image:image>
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      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>Our propossed framework for Adaptive AI Control</image:caption>
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    <image:image>
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      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>Proposed product library</image:caption>
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    <image:image>
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      <image:title>RESEARCH - Why Industrial Control Needs Adaptive AI. - Make it stand out</image:title>
      <image:caption>Full control architecture</image:caption>
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