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Imitation Learning: Teaching Machines by Showing, Not Rewarding Lesson
Imitation learning trains a system by having it copy demonstrations from an expert rather than discover behaviour through trial and error, and behaviour cloning - simply predicting what the expert did in each situation - is the simplest and most widely used version of it.
A handheld gripper and a head camera can now train robots with no robot demonstrations News
Researchers report that raising the fidelity of handheld human demonstrations removes the need for any robot teleoperation on the target task, with policies trained on handheld data alone reaching parity with robot-taught baselines on four two-armed tasks.
Tencent's Open Robot Model Plans by Imagining the Scene It Wants to Create News
Tencent released RxBrain, an open ~6.2B robot model that interleaves text reasoning with generated goal images, betting that a robot needs an explicit picture of the world it is trying to build.
A robot AI that adapts to a moved camera by wiggling, not retraining News
A new method lets robot policies figure out a changed setup from a few seconds of self-directed fiddling, so they keep working when the camera or robot body changes - with no retraining.
RxBrain (Hy-Embodied-RxBrain-1.0) Tool
Tencent's ~6.2B embodied model that interleaves text reasoning with generated goal images to plan robot tasks. Weights and inference code released under Apache-2.0.