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Michael R. Benjamin

7 accepted papers

2025

ASV-Aided AUV Navigation: A Field Study on Nonlinear Estimation for Localization of Low-Cost, Scalable Systems

IROS 2025

This work investigates the use of multiple Autonomous Surface Vehicles (ASVs) as Communication/Navigation Aids (CNAs) to enhance the navigation and state estimation of an Autonomous Underwater Vehicle (AUV). Our approach builds on recent advancements in low-cost sensors and platforms, which enable n

Cited by 0SourceScholar
2025

Decentralized Declustering of Multiple Underactuated Autonomous Surface Vehicles: Managing Robot Swarms in the Field

IROS 2025

The task of deploying a large number of autonomous vehicles is challenging, risky and often overlooked in the literature. These vehicles are typically deployed from a single location, and their underactuated nature, close proximity, and susceptibility to external disturbances make it difficult to ac

Cited by 0SourceScholar
2025

Hybrid State Estimation and Mode Identification of an Amphibious Robot

ICRA 2025

C-Ray is an amphibious robot that is capable of swimming in water and crawling on land using its undulating fins, enabling operations in a wide range of environments. The robot can be modeled as a hybrid dynamical system whose dynamics and propulsion change when the robot transitions between water a

Cited by 0SourceScholar
2024

A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization

ICRA 2024poster

This paper reports a new hierarchical architecture for modeling autonomous multi-robot systems (MRSs): a nonlinear dynamical opinion process is used to model high-level group choice, and multi-objective behavior optimization is used to model individual decisions. Using previously reported theoretica…

Cited by 4SourceScholar
2024

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances

ICRA 2024poster

Deploying autonomous systems in safety critical settings necessitates methods to verify their safety properties. This is challenging because real-world systems may be subject to disturbances that affect their performance, but are unknown a priori. This work develops a safety-verification strategy wh…

Cited by 0SourceScholar
2023

Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicles

RA-L 2023

This letter reports an investigation into the problem of rapid identification of a channel that crosses a body of water using one or more unmanned surface vehicles (USVs). A new algorithm called Proposal Based Adaptive Channel Search (PBACS) is presented as a potential solution that improves upon cu

Cited by 9SourceScholar
2023

An Ensemble of Online Estimation Methods for One Degree-of-Freedom Models of Unmanned Surface Vehicles: Applied Theory and Preliminary Field Results with Eight Vehicles

IROS 2023poster

In this paper we report an experimental evaluation of three popular methods for online system identification of unmanned surface vehicles (USVs) which were implemented as an ensemble: certifiably stable shallow recurrent neural network (RNN), adaptive identification (AID), and recursive least square…

Cited by 3SourceScholar