Sichun Xu

TL;DR: It is shown how low-level skills can be combined with large language models so that the language model provides high-level knowledge about the procedures for performing complex and temporally extended instructions, while value functions associated with these skills provide the grounding necessary to connect this knowledge to a particular physical environment.

TL;DR: In this article , the authors present a model class, dubbed Robotics Transformer, that exhibits promising scalable model properties and verify their conclusions in a study of different model classes and their ability to generalize as a function of the data size, model size and data diversity based on a large-scale data collection on real robots performing real-world tasks.

TL;DR: The architecture of the OntoWebber system, a system for managing data on the Web with formally encoded semantics, is presented and the major components of the system are demonstrated.

TL;DR: This paper presents the architecture and demonstrates the major components of the Onto Webber system, a system for creating and managing data-intensive Web sites based on a domain ontology and a site modeling ontology.