Search Results for author:
Found 5 papers, 2 papers with code
ChatGPT for Robotics: Design Principles and Model Abilities
This paper presents an experimental study regarding the use of OpenAI's ChatGPT for robotics applications.
LATTE: LAnguage Trajectory TransformEr
Natural language is one of the most intuitive ways to express human intent.
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
However, using language is seldom an easy task when humans need to express their intent towards robots, since most of the current language interfaces require rigid templates with a static set of action targets and commands.
Batteries, camera, action! Learning a semantic control space for expressive robot cinematography
First, we generate a database of video clips with a diverse range of shots in a photo-realistic simulator, and use hundreds of participants in a crowd-sourcing framework to obtain scores for a set of semantic descriptors for each clip.
Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography
We validate our approach in multiple cluttered environments of a photo-realistic simulator, and deploy the system using two UAVs in real-world experiments.
