Can someone explain what would be the single greatest challenge (from a research perspective) in making such a robot today? For example, is it:
1. The sensors?
2. The actuators?
3. Coming up with accurate dynamical models?
4. Solving the models accurately?
5. Solving the models efficiently?
6. Making the models robust to inaccuracy/noise?
Yes, I realize all of these are probably hard. What I'm trying to understand is whether the biggest challenge is coming up with e.g. an accurate (possibly nonlinear) dynamical model, or with solving the model (efficiency/accuracy), or with making existing models that are otherwise already completely accurate robust to outside noise, or with the manufacturing aspect (precision), or whatever.
1. The sensors?
2. The actuators?
3. Coming up with accurate dynamical models?
4. Solving the models accurately?
5. Solving the models efficiently?
6. Making the models robust to inaccuracy/noise?
Yes, I realize all of these are probably hard. What I'm trying to understand is whether the biggest challenge is coming up with e.g. an accurate (possibly nonlinear) dynamical model, or with solving the model (efficiency/accuracy), or with making existing models that are otherwise already completely accurate robust to outside noise, or with the manufacturing aspect (precision), or whatever.