Argo-Robot/foundation_models
Overview about state-of-art imitation learning techniques for robotic manipulation, enabling generalization across diverse tasks and environments.
This project helps roboticists and AI researchers understand and apply advanced AI models that enable robots to perform complex manipulation tasks without extensive task-specific programming. It describes how these models, using techniques like imitation learning, can learn from human demonstrations and generalize across various tasks and environments. The end-user would be a roboticist, AI researcher, or anyone interested in developing highly flexible and autonomous robotic systems.
136 stars. No commits in the last 6 months.
Use this if you are a roboticist or AI researcher looking for an overview of state-of-the-art foundation models that allow robots to learn diverse manipulation tasks from demonstrations.
Not ideal if you are looking for an off-the-shelf solution or a simple, pre-trained robot controller for a very specific, unchanging task.
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Apr 07, 2025
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