Preliminary Evaluation of Null-Space Dynamic Process Model Identification with Application to Cooperative Navigation of Underwater Vehicles. - Zachary J. Harris; Tyler M. Paine; Louis L. Whitcomb (IROS, 2018)

Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics. - Tyler M. Paine; Louis L. Whitcomb (ICRA, 2021)

Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicle. - Nikolai Gershfeld; Tyler M. Paine; Michael R. Benjamin (CoRR, 2022)

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. - Tyler M. Paine; Michael R. Benjamin (IROS, 2023)

Active Anomaly Detection in Confined Spaces Using Ergodic Traversal of Directed Region Graphs. - Benjamin Wong; Tyler M. Paine; Santosh Devasia; Ashis G. Banerjee (CoRR, 2023)

Human-assisted robotic detection of foreign object debris inside confined spaces of marine vessels using probabilistic mapping. - Benjamin Wong; Wade Marquette; Nikolay Bykov; Tyler M. Paine; Ashis G. Banerjee (Robotics Auton. Syst., 2023)

Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicles. - Nikolai Gershfeld; Tyler M. Paine; Michael R. Benjamin (IEEE Robotics Autom. Lett., 2023)

Stable nullspace adaptive parameter identification of 6 degree-of-freedom plant and actuator models for underactuated vehicles: Theory and experimental evaluation. - Zachary J. Harris; Annie M. Mao; Tyler M. Paine; Louis L. Whitcomb (Int. J. Robotics Res., 2023)

Adaptive bias for dissensus in nonlinear opinion dynamics with application to evolutionary division of labor games. - Tyler M. Paine; Anastasia S. Bizyaeva; Michael R. Benjamin (CDC, 2024)

A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization. - Tyler M. Paine; Michael R. Benjamin (ICRA, 2024)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. - Nicholas Rober; Karan Mahesh; Tyler M. Paine; Max L. Greene; Steven Lee; Sildomar T. Monteiro; Michael R. Benjamin; Jonathan P. How (ICRA, 2024)

Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions. - Jordan Beason; Michael Novitzky; John Kliem; Tyler Errico; Zachary Serlin; Kevin Becker; Tyler M. Paine; Michael Benjamin; Prithviraj Dasgupta; Peter Crowley; Charles O'Donnell; John James (CoRR, 2024)

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. - Karan Mahesh; Tyler M. Paine; Max L. Greene; Nicholas Rober; Steven Lee; Sildomar T. Monteiro; Anuradha Annaswamy; Michael R. Benjamin; Jonathan P. How (CoRR, 2024)

Rapidly Converging Time-Discounted Ergodicity on Graphs for Active Inspection of Confined Spaces. - Benjamin Wong; Ryan H. Lee; Tyler M. Paine; Santosh Devasia; Ashis G. Banerjee (CoRR, 2025)

SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations. - Peter Crowley; Zachary Serlin; Tyler M. Paine; Makai Mann; Michael Benjamin; Calin Belta (CoRR, 2025)