🤖 Video-Centric Approaches to General Robotic Manipulation Learning

Junming Wang

Methods:

Year	Venue	Paper Title	Link
2024.11	Microsoft	IGOR: Image-GOal Representations	Project Page
2024.11	Physical Intelligence	π0: A Vision-Language-Action Flow Model for General Robot Control	Project Page
2024.10	arXiv	Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset	Project Page
2024.10	CoRL	OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation	Project Page
2024.10	CoRL	Differentiable Robot Rendering	Project Page
2024.10	arXiv	Latent Action Pretraining from Videos	Project Page
2024.10	arXiv	Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation	Project Page
2024.10	arXiv	VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model	-
2024.10	arXiv	GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation	Project Page
2024.09	arXiv	DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control	Project Page
2024.09	arXiv	Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation	Project Page
2024.09	NeurIPS	Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation	Project Page
2024.07	CoRL	Flow as the Cross-Domain Manipulation Interface	Project Page
2024.06	CoRL	Dreamitate: Real-World Visuomotor Policy Learning via Video Generation	Project Page
2024.05	ECCV	Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation	Project Page
2023.12	RSS	Any-point Trajectory Modeling for Policy Learning	Project Page
2023.10	arXiv	Learning to Act from Actionless Videos through Dense Correspondences	Project Page
2023.10	arXiv	Video Language Planning	Project Page