State of charge optimization for military hybrid vehicle microgrids. - Denise M. Rizzo; Gordon G. Parker (ISGT, 2013)

An energy-efficient method for multi-robot reconnaissance in an unknown environment. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (ACC, 2017)

Ground Robot Terrain Mapping and Energy Prediction in Environments with 3-D Topography. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (ACC, 2018)

Role of Regenerative Braking in Velocity Trajectory Optimization of Electrified Powertrains over varying Road Grades. - Niket Prakash; Youngki Kim; Denise M. Rizzo; Matthew J. Brusstar; Jason B. Siegel (CCTA, 2018)

Sensitivity of Energy-Efficient Driving to Motor Efficiency for EVs. - Hadi Abbas; Youngki Kim; Jason B. Siegel; Denise M. Rizzo (CCTA, 2019)

Chance constrained reachability in environments with spatially varying energy costs. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (Robotics Auton. Syst., 2019)

A Hybrid Electric Vehicle Motor Cooling System - Design, Model, and Control. - Junkui Huang; Shervin Shoai Naini; Richard Miller; Denise M. Rizzo; Katie Sebeck; Scott Shurin; John R. Wagner (IEEE Trans. Veh. Technol., 2019)

Parameter Sensitivity Analysis of Controlled Invariant Sets via Value Iteration. - Liren Yang; Denise M. Rizzo; Matthew P. Castanier; Necmiye Ozay (ACC, 2020)

Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (IROS, 2020)

Off-road ground robot path energy cost prediction through probabilistic spatial mapping. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (J. Field Robotics, 2020)

Power Prediction for Heterogeneous Ground Robots Through Spatial Mapping and Sharing of Terrain Data. - Michael Quann; Lauro V. Ojeda; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Kira Barton (IEEE Robotics Autom. Lett., 2020)

Exergy-based analysis for hybrid and electric ground vehicles. - Federico Dettù; Gabriele Pozzato; Denise M. Rizzo; Simona Onori (CoRR, 2021)

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. - Bo Fu 008; Tribhi Kathuria; Denise M. Rizzo; Matthew P. Castanier; X. Jessie Yang; Maani Ghaffari; Kira Barton (CoRR, 2022)

Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Maani Ghaffari; Kira Barton (CoRR, 2022)

Model-free speed management for a heterogeneous platoon of connected ground vehicles. - Yifan Weng; Rasoul Salehi; Xinyi Ge; Denise M. Rizzo; Matthew P. Castanier; Scott Heim; Tulga Ersal (J. Intell. Transp. Syst., 2022)

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty. - Bo Fu 008; Tribhi Kathuria; Denise M. Rizzo; Matthew P. Castanier; X. Jessie Yang; Maani Ghaffari; Kira Barton (CoRR, 2023)

Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty. - Bo Fu 008; William Smith 003; Denise M. Rizzo; Matthew P. Castanier; Maani Ghaffari; Kira Barton (IEEE Trans. Robotics, 2023)

Blockchain technology for requirement traceability in systems engineering. - Mohan S. R. Elapolu; Rahul Rai; David J. Gorsich; Denise M. Rizzo; Stephen Rapp; Matthew P. Castanier (Inf. Syst., 2024)