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Found 5 papers, 3 papers with code
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
Our framework facilitates scalable and diverse demonstration collection for real-world tasks.
TOBY: A Tool for Exploring Data in Academic Survey Papers
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper.
Generating Executable Action Plans with Environmentally-Aware Language Models
Large Language Models (LLMs) trained using massive text datasets have recently shown promise in generating action plans for robotic agents from high level text queries.
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) has been gaining considerable attention in research in recent years.
Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
Although this approach has achieved state-of-the-art results, the deep learning paradigm may be limited due to a reliance on large amounts of annotated training data.
