What happens when a robot fails to complete a task? π€
Think of a robot trying to pick up a cup but grabbing it at the wrong angle.
It fails. But that doesn't mean the learning process has to stop there.
In robot training, human feedback can help identify what went wrong and demonstrate a better way to perform the task.
This is one of the interesting ideas behind robot post-training.
Axis @axisrobotics Robotics explores workflows where a robot can attempt a task in simulation, while a human can step in to correct its actions when needed.
Those corrections can provide useful examples for improving future training.
Of course, one correction won't magically make a robot perfect. It takes repeated practice, good data, and careful testing to make robots more reliable.
But think about the bigger picture.
Instead of treating every mistake as a dead end, we can use it as another opportunity to learn.
That's an important part of building robots that can handle more than just ideal conditions.
Because smarter robots won't come from successful attempts alone.
They'll also come from learning what to do when things go wrong. π¦Ύ
gRobotics
The next generation of industrial robots is getting closer.
@standardbots has opened its AI platform to the public after beta trials with customers and production-grade testing.
Making AI robotics more accessible could unlock new possibilities for industrial work.
The next generation of industrial robots is getting closer.
@standardbots has opened its AI platform to the public after beta trials with customers and production-grade testing.
Making AI robotics more accessible could unlock new possibilities for industrial work.