I would say the best example of this in the insect world are ants. They have a clear destination. They use collision avoidance. And they often have a predefined path--prepared by the dragging thoraxes of the "lead ant."
Impressive, for something with just a compass and altitude sensor. But isn't the Rumba vacuum cleaner already doing something like this? Granted the Rumba doesn't have a 'destination' to speak of but relies on bumping into surfaces to re-orient itself.
So, just give it a compass heading, and presumably some sort of altitude range and destination coordinates(?), and it will muddle its way through without collision avoidance system complexities.
Imagine applying such a scheme to self-driving? The "muddle through" approach. It would take a lot of trial and error to find the correct path, and you'd have cars that look more like bumper cars, but hey.
Not sure if insects, say flies, truly behave this way, though. Flies will bump into windows, until they finally find a way out to the light, but I always thought that's because they don't know about transparent glass?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.