Classical control theory is often sufficient for dealing with changing loads, terrain and wear and tear. Rejecting unknown disturbances is what a control system does. No training is required. Perhaps somewhat less than impressive due to the choice of robotics platform, but:
Yeah, a lot of this tends to be "Let's try CNN on ... ", and it ends up doing about as well. It's bound to be a general purpose tool that's easy to use and doesn't require a classical approach.
Like RRTs instead of visibility graphs for regular-old polygonal environments. The RRT is just easier vs hand-tuning obstacle boundaries, etc.
I have some experience on this, as we are building a system like this with similar constraints, and there's really no "need" for anything other than classical control.
Like RRTs instead of visibility graphs for regular-old polygonal environments. The RRT is just easier vs hand-tuning obstacle boundaries, etc.
I have some experience on this, as we are building a system like this with similar constraints, and there's really no "need" for anything other than classical control.