activity
20052023
most citedSufficient Conditions for Fast Switching Synchronization in Time Varying Network Topologies

365 citations · 387 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

eess.SY2022

Non-Submodular Maximization via the Greedy Algorithm and the Effects of Limited Information in Multi-Agent Execution

Benjamin Biggs, James McMahon, Philip Baldoni +1

We provide theoretical bounds on the worst case performance of the greedy algorithm in seeking to maximize a normalized, monotone, but not necessarily submodular objective function…

cs.RO2022

Evaluating the Benefit of Using Multiple Low-Cost Forward-Looking Sonar Beams for Collision Avoidance in Small AUVs

Christopher Morency, Daniel J. Stilwell

We seek to rigorously evaluate the benefit of using a few beams rather than a single beam for a low-cost obstacle avoidance sonar for small AUVs. For a small low-cost AUV, the comp…

cs.RO2022★ 10 cited

Development of a Simulation Environment for Evaluation of a Forward Looking Sonar System for Small AUVs

Christopher Morency, Daniel J. Stilwell, Sebastian Hess

This paper describes a high-fidelity sonar model and a simulation environment that implements the model. The model and simulation environment have been developed to aid in the desi…

cs.RO2022

Unscented Kalman Filtering on Manifolds for AUV Navigation -- Experimental Results

Stephen T. Krauss, Daniel J. Stilwell

In this work, we present an aided inertial navigation system for an autonomous underwater vehicle (AUV) using an unscented Kalman filter on manifolds (UKF-M). The inertial navigati…

cs.RO2022

Experiments in Underwater Feature Tracking with Performance Guarantees Using a Small AUV

Benjamin Biggs, Hans He, James McMahon +1

We present the results of experiments performed using a small autonomous underwater vehicle to determine the location of an isobath within a bounded area. The primary contribution…

stat.ML2022★ 7 cited

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning

George P. Kontoudis, Daniel J. Stilwell

In this paper, we propose decentralized and scalable algorithms for Gaussian process (GP) training and prediction in multi-agent systems. To decentralize the implementation of GP t…