6 citations · 16 across the 5 of their papers we have counts for
6 papers
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…
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning
Kyle Brown, Oriana Peltzer, Martin A. Sehr +2
We study the problem of sequential task assignment and collision-free routing for large teams of robots in applications with inter-task precedence constraints (e.g., task and t…
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Raunak P. Bhattacharyya, Kyle Brown, Juanran Wang +2
An open problem in autonomous driving research is modeling human driving behavior, which is needed for the planning component of the autonomy stack, safety validation through traff…
Online Parameter Estimation for Human Driver Behavior Prediction
Raunak Bhattacharyya, Ransalu Senanayake, Kyle Brown +1
Driver models are invaluable for planning in autonomous vehicles as well as validating their safety in simulation. Highly parameterized black-box driver models are very expressive,…
STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times
Oriana Peltzer, Kyle Brown, Mac Schwager +2
We present an algorithm for finding optimal paths for multiple stochastic agents in a graph to reach their destinations with a user-specified maximum pairwise collision probability…
Multi-Fidelity Recursive Behavior Prediction
Mihir Jain, Kyle Brown, Ahmed K. Sadek
Predicting the behavior of surrounding vehicles is a critical problem in automated driving. We present a novel game theoretic behavior prediction model that achieves state of the a…