22 citations · 58 across the 5 of their papers we have counts for
5 papers
A Fast Algorithm for Robust Action Selection in Multi-Agent Systems
Jun Liu, Ryan K. Williams
In this paper, we consider a robust action selection problem in multi-agent systems where performance must be guaranteed when the system suffers a worst-case attack on its agents.…
Intermittent Deployment for Large-Scale Multi-Robot Forage Perception: Data Synthesis, Prediction, and Planning
Jun Liu, Murtaza Rangwala, Kulbir Singh Ahluwalia +5
Monitoring the health and vigor of grasslands is vital for informing management decisions to optimize rotational grazing in agriculture applications. To take advantage of forage re…
Submodular Optimization for Coupled Task Allocation and Intermittent Deployment Problems
Jun Liu, Ryan K. Williams
In this paper, we demonstrate a formulation for optimizing coupled submodular maximization problems with provable sub-optimality bounds. In robotics applications, it is quite commo…
Monitoring Over the Long Term: Intermittent Deployment and Sensing Strategies for Multi-Robot Teams
Jun Liu, Ryan K. Williams
In this paper, we formulate and solve the intermittent deployment problem, which yields strategies that couple \emph{when} heterogeneous robots should sense an environmental proces…
Distributed Resilient Submodular Action Selection in Adversarial Environments
Jun Liu, Lifeng Zhou, Pratap Tokekar +1
In this letter, we consider a distributed submodular maximization problem for multi-robot systems when attacked by adversaries. One of the major challenges for multi-robot systems…