[adenverd]

I'll add that real world sensors (including cameras) are noisy in ways that are difficult to model 100% accurately in simulation. Same thing with aerodynamic effects, especially when the drone gets close to the ground or other objects, or y'know...it's windy outside. Dealing with these types of noise and unpredictably and building in resilience to them is a big part of testing and validating systems like these, and can only happen in the real world.

I'm pretty confident the drone linked in this article doesn't have high reliability. I'd be shocked if they managed to get >70% critical without significant real-world iteration.

[meheleventyone]

I think it basically helps that quadcopters are already computer stabilized and highly manoeuvrable so the problem is more identifying spaces to move into and motion planning through them. What’s impressive since the last time this kind of thing was posted is the increase in speed and at least in the provided video the ability to avoid really quite small branches.

[apendleton]

It looks from the video someone linked to above that these things don't use cameras, just depth sensors -- maybe they're easier to simulate? It looks like they do introduce noise into their simulated depth-sensor data, but maybe that's more straightforward than creating realistic visual noise.