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The robot learns to see it's arm and the target using a Imagenet trained CNN. The robot is then shown the task a few times. A human controls the robot for a fe
by deepnet 11y ago
The robot learns to see it's arm and the target using a Imagenet trained CNN.
The robot is then shown the task a few times. A human controls the robot for a few minutes, performing the task.
Then an innovative policy search finds a robust policy so the robot can perform the task from any initial position and is robust to changes such as the addition of a shirt to the hanger task after training.
Potentially the robot can learn from videos of humans performing the task - i.e. by copying people.
- your_ai_manager 11y agoThis is some truly impressive work, I would expect the next step is to have the robot 'guess' what a new task is based on its similarity to previously completed tasks. i.e. when given wood with a protruding nail + hammer, it relates the task to a previously trained Whac-A-Mole scenario and begins hammering the nail in.