13 citations · 28 across the 25 of their papers we have counts for
6 papers · 2 filters
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…
CLIPSwarm: Converting text into formations of robots
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
We present CLIPSwarm, an algorithm to generate robot swarm formations from natural language descriptions. CLIPSwarm receives an input text and finds the position of the robots to f…
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
Kyle Brown, Dylan M. Asmar, Mac Schwager +1
Mobile autonomous robots have the potential to revolutionize manufacturing processes. However, employing large robot fleets in manufacturing requires addressing challenges includin…
CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. We propose feature…
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil +1
Connected autonomous vehicles (CAVs) promise to enhance safety, efficiency, and sustainability in urban transportation. However, this is contingent upon a CAV correctly predicting…
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts
Joseph A. Vincent, Aaron O. Feldman, Mac Schwager
We provide finite-sample performance guarantees for control policies executed on stochastic robotic systems. Given an open- or closed-loop policy and a finite set of trajectory rol…