Visual Imitation Learning

התחברות

תובנה - Visual Imitation Learning

Stem-OB: Enhancing Generalizability in Visual Imitation Learning by Converging Observations through Diffusion Inversion

Stem-OB is a novel preprocessing technique that improves the generalization of visual imitation learning models by leveraging diffusion inversion to converge diverse observations into shared representations, enhancing robustness to visual perturbations without inference-time overhead.

Bi-KVIL: Key Points-Based Visual Imitation Learning of Bimanual Manipulation Tasks

ビジュアル模倣学習におけるバイマニュアル操作タスクのキーポイントベースの学習方法を提案する。

Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks

Visual imitation learning has made significant progress in unimanual tasks, but bimanual coordination remains a challenge. Bi-KVIL extends keypoints-based visual imitation learning to bimanual manipulation tasks, extracting Hybrid Master-Slave Relationships and task representations.

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