Notes not for today, but maybe tomorrow.
Physically rich intelligence and autonomy.
* Domestic robots.
* Learning and control of many sensors and actuators.
* Dynamic environments. Real-time control. Anytime algorithms.
* Life-long learning. Many concepts to relate and scale.
* World simulator. Parameterized, articulation, fluids, particles, sound and light tracing. The higher fidelity, the better.
* Miniature off-the-shelf humanoids (such as the Aldebaran Nao) with many actuators and sensors.
* Build on and in support of low-end computers, though allow scalability.
* Open-source, liberally-licensed, productized-quality software projects.
* Publicly accessible research, both in software (WebGL?) and articles/documentation.
* Support a few grad students and as much academic freedom for them as possible.