Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Current efforts to learn scalable policies in robotic manipulation primarily fall into two categories: one focuses on "action," which involves behavior cloning from extensive collections of robotic data, while the other emphasizes "vision," enhancing model generalization by pre-t...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Yang, Tian, Yang, Sizhe, Zeng, Jia, Wang, Ping, Lin, Dahua, Dong, Hao, Pang, Jiangmiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Cloning Datasets Inverse dynamics Robotics Vision
Online-Zugang:	Volltext
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