Publications - Link Lab

Nicola Bezzo Publications

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2024 (3)
Gao, S.; Bramblett, L.; and Bezzo, N. Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection. arXiv (Cornell University) . 2024.
Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection [link] Paper link bibtex
Mohammad, N.; Higgins, J.; and Bezzo, N. A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments. arXiv (Cornell University) . 2024.
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments [link] Paper link bibtex
Bramblett, L.; Miloradović, B.; Sherman, P. J.; Papadopoulos, A. V.; and Bezzo, N. Robust Online Epistemic Replanning of Multi-Robot Missions. arXiv (Cornell University) . 2024.
Robust Online Epistemic Replanning of Multi-Robot Missions [link] Paper link bibtex
2023 (12)
Bramblett, L.; Gao, S.; and Bezzo, N. Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments. Unknown Journal . 2023.
Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments [link] Paper link bibtex
Bramblett, L.; Gao, S.; and Bezzo, N. Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments. arXiv (Cornell University) . 2023.
Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments [link] Paper link bibtex
Bramblett, L.; and Bezzo, N. Epistemic planning for multi-robot systems in communication-restricted environments. Frontiers in Robotics and AI . 2023.
Epistemic planning for multi-robot systems in communication-restricted environments [link] Paper link bibtex
Nayhouse, S.; Chadha, S.; Hourican, P.; Moore, C.; and Bezzo, N. A General Framework for Human-Drone Interaction under Limited On-board Sensing. Unknown Journal . 2023.
A General Framework for Human-Drone Interaction under Limited On-board Sensing [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations. Unknown Journal . 2023.
RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations [link] Paper link bibtex
Bramblett, L.; and Bezzo, N. Epistemic Planning for Heterogeneous Robotic Systems. arXiv (Cornell University) . 2023.
Epistemic Planning for Heterogeneous Robotic Systems [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations. arXiv (Cornell University) . 2023.
RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations [link] Paper link bibtex
Higgins, J.; Mohammad, N.; and Bezzo, N. A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments. arXiv (Cornell University) . 2023.
A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments [link] Paper link bibtex
Peddi, R.; and Bezzo, N. A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties. arXiv (Cornell University) . 2023.
A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties [link] Paper link bibtex
Higgins, J.; Mohammad, N.; and Bezzo, N. A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments. Unknown Journal . 2023.
A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments [link] Paper link bibtex
Bramblett, L.; and Bezzo, N. Epistemic Planning for Heterogeneous Robotic Systems. Unknown Journal . 2023.
Epistemic Planning for Heterogeneous Robotic Systems [link] Paper link bibtex
Peddi, R.; and Bezzo, N. A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties. Unknown Journal . 2023.
A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties [link] Paper link bibtex
2022 (13)
Bonczek, P. J; Peddi, R.; Gao, S.; and Bezzo, N. Detection of Nonrandom Sign-Based Behavior for Resilient Coordination of Robotic Swarms. IEEE transactions on robotics . 2022.
Detection of Nonrandom Sign-Based Behavior for Resilient Coordination of Robotic Swarms [link] Paper link bibtex
Xiao, X.; Xu, Z.; Wang, Z.; Song, Y.; Warnell, G.; Stone, P.; Zhang, T.; Ravi, S.; Wang, G.; Karnan, H.; Biswas, J.; Mohammad, N.; Bramblett, L.; Peddi, R.; Bezzo, N. ; Xie, Z.; and Dames, P. Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE robotics & automation magazine . 2022.
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions] [link] Paper link bibtex
Bramblett, L.; Peddi, R.; and Bezzo, N. Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2022.
Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity [link] Paper link bibtex
Yel, E.; Gao, S.; and Bezzo, N. Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions. IEEE robotics and automation letters . 2022.
Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions [link] Paper link bibtex
Higgins, J.; Bini, E.; and Bezzo, N. Offloaded Receding Horizon Planning for Environments with Variable Communication Delays. 2022 IEEE Conference on Control Technology and Applications (CCTA) . 2022.
Offloaded Receding Horizon Planning for Environments with Variable Communication Delays [link] Paper link bibtex
Peddi, R.; and Bezzo, N. An Interpretable Monitoring Framework for Virtual Physics-Based Non-Interfering Robot Social Planning. IEEE robotics and automation letters . 2022.
An Interpretable Monitoring Framework for Virtual Physics-Based Non-Interfering Robot Social Planning [link] Paper link bibtex
Cleaveland, M.; Yel, E.; Kantaros, Y.; Lee, I.; and Bezzo, N. Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2022.
Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information [link] Paper link bibtex
Higgins, J.; and Bezzo, N. A Model Predictive-based Motion Planning Method for Safe and Agile Traversal of Unknown and Occluding Environments. 2022 International Conference on Robotics and Automation (ICRA) . 2022.
A Model Predictive-based Motion Planning Method for Safe and Agile Traversal of Unknown and Occluding Environments [link] Paper link bibtex
Xiao, X.; Xu, Z.; Wang, Z.; Song, Y.; Warnell, G.; Stone, P.; Zhang, T.; Ravi, S.; Wang, G.; Karnan, H.; Biswas, J.; Mohammad, N.; Bramblett, L.; Peddi, R.; Bezzo, N. ; Xie, Z.; and Dames, P. Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. arXiv (Cornell University) . 2022.
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022 [link] Paper link bibtex
Cleaveland, M.; Yel, E.; Kantaros, Y.; Lee, I.; and Bezzo, N. Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. arXiv (Cornell University) . 2022.
Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information [link] Paper link bibtex
Mohammad, N.; and Bezzo, N. A Robust and Fast Occlusion-based Frontier Method for Autonomous Navigation in Unknown Cluttered Environments. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2022.
A Robust and Fast Occlusion-based Frontier Method for Autonomous Navigation in Unknown Cluttered Environments [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Resilient Detection and Recovery of Autonomous Systems Operating under On-board Controller Cyber Attacks. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2022.
Resilient Detection and Recovery of Autonomous Systems Operating under On-board Controller Cyber Attacks [link] Paper link bibtex
Bini, E.; Papadopoulos, A. V.; Higgins, J.; and Bezzo, N. Optimal Reference Tracking for Sampled-Data Control Systems. 2022 IEEE 61st Conference on Decision and Control (CDC) . 2022.
Optimal Reference Tracking for Sampled-Data Control Systems [link] Paper link bibtex
2021 (13)
Higgins, J.; and Bezzo, N. Negotiating Visibility for Safe Autonomous Navigation in Occluding and Uncertain Environments. IEEE robotics and automation letters . 2021.
Negotiating Visibility for Safe Autonomous Navigation in Occluding and Uncertain Environments [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies. Unknown Journal . 2021.
Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies [link] Paper link bibtex
Yel, E.; and Bezzo, N. A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2021.
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions [link] Paper link bibtex
Peddi, R.; and Bezzo, N. Interpretable Run-Time Prediction and Planning in Co-Robotic Environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2021.
Interpretable Run-Time Prediction and Planning in Co-Robotic Environments [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2021.
Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations [link] Paper link bibtex
Gao, S.; and Bezzo, N. A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2021.
A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning [link] Paper link bibtex
Gall, C.; and Bezzo, N. Gaussian Process-based Interpretable Runtime Adaptation for Safe Autonomous Systems Operations in Unstructured Environments. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . 2021.
Gaussian Process-based Interpretable Runtime Adaptation for Safe Autonomous Systems Operations in Unstructured Environments [link] Paper link bibtex
Glaubit, G.; Kleeman, K.; Law, N.; Thomas, J.; Gao, S.; Peddi, R.; Yel, E.; and Bezzo, N. Fast, Safe, and Proactive Runtime Planning and Control of Autonomous Ground Vehicles in Changing Environments. Unknown Journal . 2021.
Fast, Safe, and Proactive Runtime Planning and Control of Autonomous Ground Vehicles in Changing Environments [link] Paper link bibtex
Yel, E.; and Bezzo, N. A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. arXiv (Cornell University) . 2021.
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies. arXiv (Cornell University) . 2021.
Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies [pdf] Paper link bibtex
Peddi, R.; and Bezzo, N. Interpretable Run-Time Prediction and Planning in Co-Robotic Environments. arXiv (Cornell University) . 2021.
Interpretable Run-Time Prediction and Planning in Co-Robotic Environments [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations. arXiv (Cornell University) . 2021.
Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations [link] Paper link bibtex
Gao, S.; and Bezzo, N. A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning. arXiv (Cornell University) . 2021.
A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning [link] Paper link bibtex
2020 (16)
Yel, E.; Carpenter, T. J.; Franco, C. D.; Ivanov, R.; Kantaros, Y.; Lee, I.; Weimer, J.; and Bezzo, N. Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations. IEEE robotics & automation magazine . 2020.
Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations [link] Paper link bibtex
Peddi, R.; Franco, C. D.; Gao, S.; and Bezzo, N. A Data-driven Framework for Proactive Intention-Aware Motion Planning of a Robot in a Human Environment. Unknown Journal . 2020.
A Data-driven Framework for Proactive Intention-Aware Motion Planning of a Robot in a Human Environment [link] Paper link bibtex
Yel, E.; and Bezzo, N. GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances. Unknown Journal . 2020.
GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances [link] Paper link bibtex
Franco, C. D.; and Bezzo, N. Interpretable Run-Time Monitoring and Replanning for Safe Autonomous Systems Operations. IEEE robotics and automation letters . 2020.
Interpretable Run-Time Monitoring and Replanning for Safe Autonomous Systems Operations [link] Paper link bibtex
Hildebrandt, C.; Elbaum, S.; Bezzo, N. ; and Dwyer, M. B. Feasible and stressful trajectory generation for mobile robots. Unknown Journal . 2020.
Feasible and stressful trajectory generation for mobile robots [link] Paper link bibtex
Wang, S.; Anselmo, N.; Garrett, M.; Remias, R.; Trivett, M. T.; Christoffersen, A.; and Bezzo, N. Fly-Crash-Recover: A Sensor-based Reactive Framework for Online Collision Recovery of UAVs. Unknown Journal . 2020.
Fly-Crash-Recover: A Sensor-based Reactive Framework for Online Collision Recovery of UAVs [link] Paper link bibtex
Bonczek, P. J; Gao, S.; and Bezzo, N. Model-based Randomness Monitor for Stealthy Sensor Attacks. Unknown Journal . 2020.
Model-based Randomness Monitor for Stealthy Sensor Attacks [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks. IFAC-PapersOnLine . 2020.
Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks [link] Paper link bibtex
Hildebrandt, C.; Elbaum, S.; and Bezzo, N. Blending kinematic and software models for tighter reachability analysis. Unknown Journal . 2020.
Blending kinematic and software models for tighter reachability analysis [link] Paper link bibtex
Yel, E.; Lin, T.; and Bezzo, N. Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations. Journal of intelligent & robotic systems . 2020.
Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations [link] Paper link bibtex
Bonczek, P. J; Gao, S.; and Bezzo, N. Model-based Randomness Monitor for Stealthy Sensor Attacks. arXiv (Cornell University) . 2020.
Model-based Randomness Monitor for Stealthy Sensor Attacks [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks. arXiv (Cornell University) . 2020.
Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks [pdf] Paper link bibtex
Hildebrandt, C.; Elbaum, S.; Bezzo, N. ; and Dwyer, M. B. Feasible and Stressful Trajectory Generation for Mobile Robots - Artifact. Artifact Digital Object Group . 2020.
Feasible and Stressful Trajectory Generation for Mobile Robots - Artifact [link] Paper link bibtex
You, Z. Y.; Gao, J.; Asfour, T.; Calinon, S.; Pérez-Dattari, R.; Celemin, C.; Franzese, G.; Ruiz‐del‐Solar, J.; Kober, J.; Lu, Q.; der Merwe, M. V.; Sundaralingam, B.; Hermans, T.; Lepora, N. F.; Lloyd, J. W.; Ugartemendia, A.; Rosquete, D.; Gil, J. J.; Díaz, I.; Borro, D.; Yel, E.; Carpenter, T. J.; Franco, C. D.; Ivanov, R.; Kantaros, Y.; Lee, I.; Weimer, J.; Bezzo, N. ; Du, X.; Vasudevan, R.; and Johnson-Roberson, M. Table of Contents. IEEE robotics & automation magazine . 2020.
Table of Contents [link] Paper link bibtex
Bonczek, P. J; Gao, S.; and Bezzo, N. Model-based Randomness Monitor for Stealthy Sensor Attacks. arXiv (Cornell University) . 2020.
Model-based Randomness Monitor for Stealthy Sensor Attacks [link] Paper link bibtex
Bonczek, P. J; and Bezzo, N. Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks. arXiv (Cornell University) . 2020.
Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks [link] Paper link bibtex
2019 (10)
Gao, S.; Franco, C. D.; Carter, D.; Quinn, D.; and Bezzo, N. Exploiting Ground and Ceiling Effects on Autonomous UAV Motion Planning. Unknown Journal . 2019.
Exploiting Ground and Ceiling Effects on Autonomous UAV Motion Planning [link] Paper link bibtex
Finegan, H.; Jaffe, S. N.; Leon, A.; Lytle, K.; Morgan, E. A.; Greene, C. H.; Meyer, A. M.; Brinkman, B.; Wekker, S. F. J. D.; Yochum, H. M.; Bezzo, N. ; and Lewin, G. C. Development of an Autonomous Agricultural Vehicle to Measure Soil Respiration. Unknown Journal . 2019.
Development of an Autonomous Agricultural Vehicle to Measure Soil Respiration [link] Paper link bibtex
Vatansever, Z.; Brandt-Pearce, M.; and Bezzo, N. Localization in Optical Wireless Sensor Networks for IoT Applications. Unknown Journal . 2019.
Localization in Optical Wireless Sensor Networks for IoT Applications [link] Paper link bibtex
Benko, J.; Clark, W. D.; Craig, C.; Culver, G.; Mahan, P.; Patel, A.; Voce, D.; Bezzo, N. ; and Lewin, G. C. Security and Resiliency of Coordinated Autonomous Vehicles. Unknown Journal . 2019.
Security and Resiliency of Coordinated Autonomous Vehicles [link] Paper link bibtex
Yel, E.; and Bezzo, N. Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations. Unknown Journal . 2019.
Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations [link] Paper link bibtex
Peddi, R.; and Bezzo, N. Parameter-free Regression-based Autonomous Control of Off-the-shelf Quadrotor UAVs. Unknown Journal . 2019.
Parameter-free Regression-based Autonomous Control of Off-the-shelf Quadrotor UAVs [link] Paper link bibtex
Carter, D.; Mazzatenta, M.; Gao, S.; Franco, C. D.; Bezzo, N. ; and Quinn, D. Scaling effects on aerodynamic interactions of rotorcraft around boundaries. APS Division of Fluid Dynamics Meeting Abstracts . 2019.
Scaling effects on aerodynamic interactions of rotorcraft around boundaries [link] Paper link bibtex
Vatansever, Z.; Brandt-Pearce, M.; and Bezzo, N. Localization in Optical Wireless Sensor Networks for IoT Applications. Unknown Journal . 2019.
Localization in Optical Wireless Sensor Networks for IoT Applications [link] Paper link bibtex
Gao, S.; Franco, C. D.; Carter, D.; Quinn, D.; and Bezzo, N. Exploiting Ground and Ceiling Effects on Autonomous UAV Motion Planning. Unknown Journal . 2019.
Exploiting Ground and Ceiling Effects on Autonomous UAV Motion Planning [link] Paper link bibtex
Carter, D.; Mazzatenta, M.; Gao, S.; Franco, C. D.; Bezzo, N. ; and Quinn, D. Scaling effects on aerodynamic interactions of rotorcraft around boundaries. APS Division of Fluid Dynamics Meeting Abstracts . 2019.
Scaling effects on aerodynamic interactions of rotorcraft around boundaries [link] Paper link bibtex
2018 (9)
Yel, E.; Lin, T.; and Bezzo, N. Self-triggered Adaptive Planning and Scheduling of UAV Operations. Unknown Journal . 2018.
Self-triggered Adaptive Planning and Scheduling of UAV Operations [link] Paper link bibtex
Elnaggar, M. M.; and Bezzo, N. An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery. Unknown Journal . 2018.
An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery [link] Paper link bibtex
Marquis, V.; Ho, R.; Rainey, W. E.; Kimpel, M.; Ghiorzi, J.; Cricchi, W.; and Bezzo, N. Toward attack-resilient state estimation and control of autonomous cyber-physical systems. Unknown Journal . 2018.
Toward attack-resilient state estimation and control of autonomous cyber-physical systems [link] Paper link bibtex
Bezzo, N. Predicting Malicious Intention in CPS under Cyber-Attack. Unknown Journal . 2018.
Predicting Malicious Intention in CPS under Cyber-Attack [link] Paper link bibtex
Lin, T.; Yel, E.; and Bezzo, N. Energy-aware Persistent Control of Heterogeneous Robotic Systems. Unknown Journal . 2018.
Energy-aware Persistent Control of Heterogeneous Robotic Systems [link] Paper link bibtex
Rosenfeld, R. D.; Restrepo, M. G.; Gerard, W. H.; Bruce, W. E.; Branch, A. A.; Lewin, G. C.; and Bezzo, N. Unsupervised surface classification to enhance the control performance of a UGV. Unknown Journal . 2018.
Unsupervised surface classification to enhance the control performance of a UGV [link] Paper link bibtex
Sokolsky, O.; and Bezzo, N. Resiliency in Cyber-Physical Systems [Guest Editors' Introduction]. IEEE Computer . 2018.
Resiliency in Cyber-Physical Systems [Guest Editors' Introduction] [link] Paper link bibtex
Mahmoud, E.; and Bezzo, N. An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery. IEEE Conference Proceedings . 2018.
An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery [link] Paper link bibtex
Bezzo, N. ; Chan, J. W.; and Lee, I. A Model for Enabling Trustworthiness in V2V Networks. Unknown Journal . 2018.
A Model for Enabling Trustworthiness in V2V Networks [link] Paper link bibtex
2017 (6)
Pajić, M.; Weimer, J.; Bezzo, N. ; Sokolsky, O.; Pappas, G. J.; and Lee, I. Design and Implementation of Attack-Resilient Cyberphysical Systems: With a Focus on Attack-Resilient State Estimators. IEEE Control Systems Magazine . 2017.
Design and Implementation of Attack-Resilient Cyberphysical Systems: With a Focus on Attack-Resilient State Estimators [link] Paper link bibtex
Wolf, C. A.; Hardis, R. P.; Woodrum, S. D.; Galan, R. S.; Wichelt, H. S.; Metzger, M. C.; Bezzo, N. ; Lewin, G. C.; and Wekker, S. F. J. D. Wind data collection techniques on a multi-rotor platform. Unknown Journal . 2017.
Wind data collection techniques on a multi-rotor platform [link] Paper link bibtex
Yel, E.; Lin, T.; and Bezzo, N. Reachability-based self-triggered scheduling and replanning of UAV operations. Unknown Journal . 2017.
Reachability-based self-triggered scheduling and replanning of UAV operations [link] Paper link bibtex
Elnaggar, M. M.; Hiser, J. D.; Lin, T.; Nguyen-Tuong, A.; Co, M.; Davidson, J. W.; and Bezzo, N. Online control adaptation for safe and secure autonomous vehicle operations. Unknown Journal . 2017.
Online control adaptation for safe and secure autonomous vehicle operations [link] Paper link bibtex
Calhoun, Z.; Maribojoc, P.; Selzer, N.; Procopi, L.; Bezzo, N. ; and Fleming, C. Analysis of Identity and Access Management alternatives for a multinational information-sharing environment. Unknown Journal . 2017.
Analysis of Identity and Access Management alternatives for a multinational information-sharing environment [link] Paper link bibtex
McDermott, T.; Horowitz, B. M.; Nadolski, M.; Meierhofer, P.; Bezzo, N. ; Davidson, J. W.; and Williams, R. D Human Capital Development - Resilient Cyber Physical Systems. Unknown Journal . 2017.
Human Capital Development - Resilient Cyber Physical Systems [pdf] Paper link bibtex