13 citations · 17 across the 11 of their papers we have counts for
3 papers · 1 filter
Foundation Models in Robotics: Applications, Challenges, and the Future
Roya Firoozi, Johnathan Tucker, Stephen Tian +12
We survey applications of pretrained foundation models in robotics. Traditional deep learning models in robotics are trained on small datasets tailored for specific tasks, which li…
Learning to Design and Use Tools for Robotic Manipulation
Ziang Liu, Stephen Tian, Michelle Guo +2
When limited by their own morphologies, humans and some species of animals have the remarkable ability to use objects from the environment toward accomplishing otherwise impossible…
Are These the Same Apple? Comparing Images Based on Object Intrinsics
Klemen Kotar, Stephen Tian, Hong-Xing Yu +2
The human visual system can effortlessly recognize an object under different extrinsic factors such as lighting, object poses, and background, yet current computer vision systems o…