Deep learning and unsupervised feature learning
Machine learning and AI through large scale brain simulations (artificial neural networks). See this video or our popular tutorial for more info. This is currently the primary research project of my Stanford research group.
Integrating tools from all the diverse areas of AI, to build a useful, general purpose home assistant robot.
Building 3d models from a single still image. (Online demo available.)
Machine learning for high-precision aerobatic helicopter flight.
Learning algorithms to enable a four-legged robot to climb over obstacles and negotiate rugged terrain.
Automatically enlarging WordNet, using machine learning.
High-speed obstacle avoidance, snake robot, etc.