利用AI飞行教练学习操作FPV无人机
Learning to fly FPV drones with AI flight coach

原始链接: https://blog.divyendusingh.com/p/learning-to-fly-fpv-drones-with-ai

开启 FPV 无人机飞行是一段充满挑战但回报丰厚的旅程,它融合了技术设置与手动技能的培养。我的起步是在《Liftoff》模拟器中利用 RadioMaster Pocket 遥控器进行了约 20 小时的练习,随后才转入现实飞行。 在硬件方面,我选择了 BetaFPV Air65 “微型竞速无人机”(Tiny Whoop)——它因耐用和安全成为初学者的理想之选,并搭配了 Fat Shark Echo 飞行眼镜和 ViFly Whoopstor 充电器。借助 AI 助手,我得以在不到一小时内就弄懂了复杂的专业术语、完成了设备绑定及配置,极大地加快了学习进程。 然而,现实飞行比模拟器困难得多,需要在 Betaflight 应用程序中对油门和速率进行手动调整。目前,我通过统计模拟器时长(已超 40 小时)和实际电池飞行次数来追踪进度,将这项爱好视为建立“肌肉记忆”的过程。通过利用 AI 分析我的飞行视频,甚至协助设计公寓内的定制地图,我正在加速学习曲线。我的最终目标是实现自由花式飞行,并计划通过长期投入 1000 小时以上的练习来实现这一目标。

这篇 Hacker News 讨论聚焦于一篇关于使用人工智能(AI)作为 FPV(第一人称视角)无人机飞行教练的博文。 社区反应多持怀疑态度,多位资深爱好者认为,对于这项日益普及且已实现“即插即用”的爱好而言,AI 并无必要。评论者强调,传统的学习方法——特别是模拟器练习(如《Liftoff》)、YouTube 教程以及社区参与——在培养真实技能方面非常有效,也更受推崇。批评者认为,依赖大语言模型(LLM)可能会使该爱好失去其社交属性,且在面对海量现有的由人类创作的资源时,AI 并无明显优势。 对此,作者澄清称 AI 并非拐杖,而是一种提高效率的工具。他们利用 AI 快速创建了环境的 3D 地图以用于模拟器训练,并针对设备设置提供了具体情境的调试建议。作者坚持认为,由于 FPV 飞行需要 AI 无法模拟的物理直觉,这项技术仅能作为动手实践和社区交流的辅助,而非替代品。
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原文

I recently got into flying FPV drones and wanted to share my learning experience. Learning anything is understanding terminology, repetition and loads of practice. I aim currently at a place where I can be air borne for 30 seconds to 1 minute or so on a real tiny whoop drone. That means I am at the beginning of my learning journey and have used the word “learning” very generously.

This post is also not a 101 to get into flying FPV drone, however, I have linked enough posts for you to get going, if you read this post and all the linked links.

I actually don’t remember how I got into it but about a year or so ago I purchased a RadioMaster Pocket radio / controller and started flying a bit in Liftoff simulator. I was following the famous playlist from Joshua Bardwell. I highly recommend that as a starting point.

I think my source was running into the Flow State documentary on YouTube but I am not sure.

Anyways, after about 10 hours practice in Liftoff this hobby died for the moment and I wouldn’t get to it until a year or so later.

I got back to the Liftoff simulator (early July 2026) and after another 10 hours of flying (20 simulator hours total), I felt I was no longer useless in the simulator i.e. I could recover from going out of bounds which was very hard before and crash less when trying things, kinda maintain my altitude and overall started enjoying it as a game.

Liftoff has a mode called “slipstreams” in which you can chase a car with drone thereby simulating making a cinematic car chase video. I started playing it like a game and really enjoyed it (albeit it was and still is pretty hard).

Here is a video of me in simulator after 20-30 hours of flying practice (maybe less?)

At this point, I thought I was ready to try some real life drone flying and for that I explored the excellent OscarLiang blog

Based on this guide, I knew that I have to start with a tiny whoop (<30g drones) for several reasons.

  1. They can take a lot of beating / crashes and therefore are perfect for newbies like me.

  2. They are small and have less licensing / formal requirements. TL;DR they are just safer.

  3. FPV done flying seems like a pretty expensive hobby and they are relatively cheap to get into the hobby

The minimum set of gear you need to be air borne is (and listing what I got and why)

  1. Drone - I got an BetaFPV Air65, it is a very tiny 17g drone that can take a lot of beating and highly recommended for beginners.

  2. FPV Goggles - I got Fat Shark Echo. They are not the cheapest available goggles but if I keep into this hobby and want to fly outdoors, I can keep using them. It also has a recording feature.

  3. LiPo Battery Charger - I got a ViFly Whopstor 3. It can charge the batteries safely and also has a storage feature. LiPo batteries when not to be used must be at middle point of their voltage for longevity.

  4. LiPo batteries - I got Betafpv lava 320mAh. They were recommended for my requirements by both OscarLiang blog and AI agent.

Purchasing the gear was the first instance where I used AI seriously. While I had a good idea of roughly what I wanted from reading the OscarLiang blog. I made AI agent agy (Google antigravity) look up available gear, compare prices in local shops across EU and actually override some decisions like getting a Fat Shark Echo vs a totally entry level FPV goggles.

Simulator was easy. As far as I remember, the day RadioMaster pocket arrived, I didn’t have to do anything really except calibration in Liftoff to be air borne in a simulator. But getting the real gear to talk to each other requires work and understanding a lot of terminology. The FPV world is vast and has many jargon terms (most annoying part of learning anything new for me). OscarLiang has a nice glossary blog page, which got me going.

But very roughly here is what you need at the very least to get going

  • Bind your drone to the radio master pocket radio. This is what I followed:

    • plug replug the battery from drone 3 times

    • in RadioMaster pocket, press sys, scroll to bind, click bind

    • if bound, pressing the arm button (LB in PlayStation speak) should Arm the drone i.e. the propellors start moving

  • Tune Fat Shark Echo to the broadcast frequency. The FPV video goggles don’t “bind” to get the video feed. The drone broadcasts the video feed at 5.8 GHz and the Fat Shark Echo receives the feed. You need to tune the channel and luckily it has a button on top that auto scans for the channel. When in sync, your goggles should show something like this

  • Charge the batteries, in my case to 4.85V for flying and 3.85 for storage. Do not go below 3.3V for long, that can damage the batteries permanently and even cause a fire.

This step was also assisted a lot by AI. I have a very long thread with Gemini asking a lot of questions on which buttons to press, what to look for on my radio (it runs a whole operating system called ELRS, I am over simplifying things). All in all, without AI, it might have taken me at least a couple of days to figure everything out. With AI, I was air borne in under 1 hour.

The first day of flying was rough. Anyone who has gone from simulators to flying for real will tell you that yes simulators are good but flying in real life is different. The other mistake I made was that I had almost done no tiny whoop simulator practice yet. I was mostly doing 5 inch drones in Liftoff and may have done only 30 minutes of tiny whoop from my 20+ hours of simulator flying and small drone physics is simply different, also, they are much faster and indoors space is tight. All in all, it is hard to fly.

The idea to learn flying as a beginner is to reduce your throttle and rates (how fast propellors spin). This is done in BetaFlight app on the flight controller. This is where AI was very useful. I did setup everything manually (the old / hard way) because I really want to learn everything without offloading the important bits to AI. However, I could prompt agy to “check my configuration by opening it in a browser and not changing anything” and it confirmed that all settings seem reasonable.

After several more hours of simulator flying and lowering my rates and fiddling with other flight controller options. I could fly a bit (still rough but non zero). This is where I could use AI to do more and more heavy lifting. I asked it to give me feedback by looking at video recordings (how cool is that?) and my real flight controller settings and it gave me feedback like a coach. Here is a snippet from its analysis.

I turned this into a “skill” and have been counting two types of durations

  • hours in simulator, currently at around 40 hours

  • packs (battery packs in real life), currently at 10 packs

Here is one of my better real™ flights (it is rough but it is also hard to fly a tiny drone indoors):

As you can see, I am at the very beginning of my flying journey.

Another small list of very cool things AI helped me do were the following:

  1. It recommended a lot of tiny things but that included “The Zone” simulator. It has ability to do custom maps and much more realistic physics than other simulators. Here is a unbiased™ review of The Zone from its creator.

  2. I wrote a skill to compile my best flying from a day into a compilation (won’t share it today but the results aren’t that bad)

  3. I used agy to actually write a custom map for my apartment for the Zone. My input to it was the floor plan, dimensions, a video walk through of the apartment. The output is functional but not a 1-1 copy of my apartment and needs a lot of work still BUT it is a fantastic start. That you can make your own maps (h/t AI agents) is fantastic. I could do this in about 2 hours while doing chores at home, how cool is that?

    Here is how it looks like (very ugly but I have seen the light and I now I know that the end result I want is possible)

As I already mentioned a couple of time, I am in the beginning of my learning journey. But what is learning? For me, the goal of learning should be mastery and here is the list

  • knowing something (glossary, terminology, possibility)

  • being able to replicate / do something after looking it up

    • for some things like simple programming / most jobs, this is enough

    • for some real time tasks like driving, playing, there is no time to look up, so this is not enough

  • practice, practice, practice

  • automaticity

    • this unlocks free mind space to do things that are otherwise very hard

    • like if you don’t have to look up to do math, you can start thinking in more abstract terms

    • in FPV drone flying, you can fly freestyle

“in FPV drone flying, you can fly freestyle” and that is my goal, practice, practice, practice. I will go for 1000+ hours in simulator and 1000+ battery packs and see where this journey takes me.

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