akosenkov

Speaking honestly, the idea is at the level of early experiments. I can get the basic stereo-imaging and motor inputs/outputs within a month. Next would be work on getting feedback system from the environment/surrounding objects including the spectator interactions. This would take another month or a bit more. Finally another month (and more) would consist of experiments on embedding neural nets and scaling the training process. If to move quickly 3 months is enough to build a basis.

One might think about it as adding additional degrees of freedom.

The goal is similar but unlike OpenAI's Gym or DeepMind I want to construct a training ground much more close to the reality in VR that would also allow interactions with humans (e.g. to be trained as well).

It's a logical step after image recognition and playing simple games.

The robots are extremely expensive to build, scale and adopt just for the sake of training. With VR it will be much more plausible.

Plus not only me would get to develop the "core". I want to provide the ground for this direction.

And yeap, the actual "mission" behind this idea is actually closer to "a real robot intelligence which can feel" and reason.

Real is real - when you make it real ,) I think that DARPA's research (robotics) is lacking the scale (which VR and mass adoption can bring).

In short, yes.

By interface I mean a "cage" of neurons connected to the inputs/outputs (similarly to humans) that can host different deep neural networks (and be used as a training environment).

The basic interface can be realised within weeks - that would include stereo-imaging input and basic motor tasks. But the more complex it gets - the more work is needed of course (not mentioning development of the hosted AI models).