10 citations · 40 across the 75 of their papers we have counts for
7 papers · 1 filter
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…
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, Rajat Agarwal +3
Determining multi-robot motion policies for persistently monitoring a region with limited sensing, communication, and localization constraints in non-GPS environments is a challeng…
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…
Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments
Lifeng Zhou, Pratap Tokekar
Deploying a team of robots that can carefully coordinate their actions can make the entire system robust to individual failures. In this report, we review recent algorithmic develo…
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li +4
The problem of decentralized multi-robot target tracking asks for jointly selecting actions, e.g., motion primitives, for the robots to maximize target tracking performance with lo…
Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images
Vishnu Dutt Sharma, Pratap Tokekar
We consider scenarios where a ground vehicle plans its path using data gathered by an aerial vehicle. In the aerial images, navigable areas of the scene may be occluded due to obst…