13 citations · 28 across the 25 of their papers we have counts for
8 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…
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…
Aria-NeRF: Multimodal Egocentric View Synthesis
Jiankai Sun, Jianing Qiu, Chuanyang Zheng +3
We seek to accelerate research in developing rich, multimodal scene models trained from egocentric data, based on differentiable volumetric ray-tracing inspired by Neural Radiance…
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…
Distributed Conjugate Gradient Method via Conjugate Direction Tracking
Ola Shorinwa, Mac Schwager
We present a distributed conjugate gradient method for distributed optimization problems, where each agent computes an optimal solution of the problem locally without any central c…
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…