"However, a policy that succeeds in simulation often doesn't work when deployed on a real robot. Nevertheless, often the overall gist of what the policy does in simulation remains valid in the real world. In this paper we investigate such settings, where the sequence of states traversed in simulation remains reasonable for the real world, even if the details of the controls are not, as could be the case when the key differences lie in detailed friction, contact, mass and geometry properties"
from Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Well, yes, but getting robots to move without falling over is not really a core AI topic; it's an application area where some AI stuff happens to be useful.
Coming from a site with a name like "Open AI" I expected some software to help promote research on workhorse AI topics such as search, planning, constraint programming, knowledge representation and automated reasoning.
Robotics is not a core problem for AI. It's not even a core problem for Comp Sci. There's a whole bunch of kinematics and dynamics at play which are completely besides the point for most AI people. The only thing (some) AI folks care about is the control problems that arise in Robotics but the development of suitable methods to solve these comprises, I would argue, a rather small and not representative part of the field.
Robotics has always been at the center of the AI vision, for academics and in culture.
There's a movie called 'AI'. It's not about automatic labelling of YouTube videos or 2-sat.
Planning and reasoning more your kind of AI? Seminal AI tech STRIPS and A* were invented to drive Shakey the robot. Shakey also had very early computer vision.
Hardly anyone would claim that self-driving cars - robots with people inside - are not AI, and a pretty compelling bit of AI right now.
Please pay attention: Robotics is just one application area for AI. Core problems from Robotics may influence the field of AI but they don't define it. Gait control or vision are or what have you are only interesting for AI people insofar as they can be used to study automated reasoning. The core problems of AI are the same as those of Computer Science: search, sort and computability.