Tethering of mobile router networks. - Nicola Bezzo; Rafael Fierro (ACC, 2010)

Swarming of mobile router networks. - Nicola Bezzo; Rafael Fierro (ACC, 2011)

Decentralized connectivity and user localization via wireless robotic networks. - Nicola Bezzo; Rafael Fierro (GLOBECOM Workshops, 2011)

A Disjunctive Programming Approach for Motion Planning of Mobile Router Networks. - Nicola Bezzo; Rafael Fierro; Ashleigh Swingler; Silvia Ferrari (Int. J. Robotics Autom., 2011)

A Real World Coordination Framework for Connected Heterogeneous Robotic Systems. - Nicola Bezzo; Mike S. Anderson; Rafael Fierro; John Wood (DARS, 2012)

Decentralized estimation of topology changes in wireless robotic networks. - Nicola Bezzo; Francesco Sorrentino 001; Rafael Fierro (ACC, 2013)

Resilient Parameter-Invariant Control with Application to Vehicle Cruise Control. - James Weimer; Nicola Bezzo; Miroslav Pajic; George J. Pappas; Oleg Sokolsky; Insup Lee 001 (CPSW@CISS, 2013)

Towards synthesis of platform-aware attack-resilient control systems: extended abstract. - Miroslav Pajic; Nicola Bezzo; James Weimer; Rajeev Alur; Rahul Mangharam; Nathan Michael; George J. Pappas; Oleg Sokolsky; Paulo Tabuada; Stephanie Weirich; Insup Lee 001 (HiCoNS, 2013)

Synthesis of platform-aware attack-resilient vehicular systems. - Miroslav Pajic; Nathan Michael; Nicola Bezzo; James Weimer; Oleg Sokolsky; George J. Pappas; Paulo Tabuada; Insup Lee 001 (ICCPS, 2013)

Decentralized identification and control of networks of coupled mobile platforms through adaptive synchronization of chaos. - Nicola Bezzo; Patricio J. Cruz Davalos; Francesco Sorrentino 001; Rafael Fierro (CoRR, 2013)

Attack-resilient minimum mean-squared error estimation. - James Weimer; Nicola Bezzo; Miroslav Pajic; Oleg Sokolsky; Insup Lee 001 (ACC, 2014)

Towards Assurance Cases for Resilient Control Systems. - James Weimer; Oleg Sokolsky; Nicola Bezzo; Insup Lee 001 (CPSNA, 2014)

Demo abstract: ROSLab - A modular programming environment for robotic applications. - Nicola Bezzo; Junkil Park; Andrew L. King; Peter Gebhard; Radoslav Ivanov; Insup Lee 001 (ICCPS, 2014)

Robustness of attack-resilient state estimators. - Miroslav Pajic; James Weimer; Nicola Bezzo; Paulo Tabuada; Oleg Sokolsky; Insup Lee 001; George J. Pappas (ICCPS, 2014)

Attack resilient state estimation for autonomous robotic systems. - Nicola Bezzo; James Weimer; Miroslav Pajic; Oleg Sokolsky; George J. Pappas; Insup Lee 001 (IROS, 2014)

A Design Environment for the Rapid Specification and Fabrication of Printable Robots. - Ankur M. Mehta; Nicola Bezzo; Peter Gebhard; Byoungkwon An; Vijay Kumar 001; Insup Lee 001; Daniela Rus (ISER, 2014)

A Safety Argument Strategy for PCA Closed-Loop Systems: A Preliminary Proposal. - Lu Feng 001; Andrew L. King; Sanjian Chen; Anaheed Ayoub; Junkil Park; Nicola Bezzo; Oleg Sokolsky; Insup Lee 001 (MCPS, 2014)

Secure state reconstruction in differentially flat systems under sensor attacks using satisfiability modulo theory solving. - Yasser Shoukry; Pierluigi Nuzzo 002; Nicola Bezzo; Alberto L. Sangiovanni-Vincentelli; Sanjit A. Seshia; Paulo Tabuada (CDC, 2015)

Exploiting Heterogeneous Robotic Systems in Cooperative Missions. - Nicola Bezzo; Joshua P. Hecker; Karl Stolleis; Melanie E. Moses; Rafael Fierro (CoRR, 2015)

A Satisfiability Modulo Theory Approach to Secure State Reconstruction in Differentially Flat Systems Under Sensor Attacks. - Yasser Shoukry; Pierluigi Nuzzo 002; Nicola Bezzo; Alberto L. Sangiovanni-Vincentelli; Sanjit A. Seshia; Paulo Tabuada (CoRR, 2015)

Robot Makers: The Future of Digital Rapid Design and Fabrication of Robots. - Nicola Bezzo; Ankur M. Mehta; Cagdas Denizel Onal; Michael Thomas Tolley (IEEE Robotics Autom. Mag., 2015)

A stochastic approach for attack resilient UAV motion planning. - Nicola Bezzo; James Weimer; Yanwei Du; Oleg Sokolsky; Sang Hyuk Son; Insup Lee 001 (ACC, 2016)

Online planning for energy-efficient and disturbance-aware UAV operations. - Nicola Bezzo; Kartik Mohta; Cameron Nowzari; Insup Lee 001; Vijay Kumar 001; George J. Pappas (IROS, 2016)

Online control adaptation for safe and secure autonomous vehicle operations. - Mahmoud Elnaggar; Jason D. Hiser; Tony X. Lin; Anh Nguyen-Tuong; Michele Co; Jack W. Davidson; Nicola Bezzo (AHS, 2017)

Reachability-based self-triggered scheduling and replanning of UAV operations. - Esen Yel; Tony X. Lin; Nicola Bezzo (AHS, 2017)

An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery. - Mahmoud Elnaggar; Nicola Bezzo (ACC, 2018)

Energy-aware Persistent Control of Heterogeneous Robotic Systems. - Tony X. Lin; Esen Yel; Nicola Bezzo (ACC, 2018)

Predicting malicious intention in CPS under cyber-attack. - Nicola Bezzo (ICCPS, 2018)

Self-triggered Adaptive Planning and Scheduling of UAV Operations. - Esen Yel; Tony X. Lin; Nicola Bezzo (ICRA, 2018)

Resiliency in Cyber-Physical Systems [Guest Editors' Introduction]. - Oleg Sokolsky; Nicola Bezzo (Computer, 2018)

Localization in Optical Wireless Sensor Networks for IoT Applications. - Zafer Vatansever; Maïté Brandt-Pearce; Nicola Bezzo (ICC, 2019)

Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations. - Esen Yel; Nicola Bezzo (IROS, 2019)

Model-based Randomness Monitor for Stealthy Sensor Attacks. - Paul J. Bonczek; Shijie Gao; Nicola Bezzo (ACC, 2020)

Blending kinematic and software models for tighter reachability analysis. - Carl Hildebrandt; Sebastian G. Elbaum; Nicola Bezzo (ICSE (NIER), 2020)

A Data-driven Framework for Proactive Intention-Aware Motion Planning of a Robot in a Human Environment. - Rahul Peddi; Carmelo Di Franco; Shijie Gao; Nicola Bezzo (IROS, 2020)

GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances. - Esen Yel; Nicola Bezzo (IROS, 2020)

Feasible and stressful trajectory generation for mobile robots. - Carl Hildebrandt; Sebastian G. Elbaum; Nicola Bezzo; Matthew B. Dwyer (ISSTA, 2020)

Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks. - Paul J. Bonczek; Nicola Bezzo (CoRR, 2020)

Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations. - Esen Yel; Tony X. Lin; Nicola Bezzo (J. Intell. Robotic Syst., 2020)

Interpretable Run-Time Monitoring and Replanning for Safe Autonomous Systems Operations. - Carmelo Di Franco; Nicola Bezzo (IEEE Robotics Autom. Lett., 2020)

Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations. - Esen Yel; Taylor J. Carpenter; Carmelo Di Franco; Radoslav Ivanov; Yiannis Kantaros; Insup Lee 001; James Weimer; Nicola Bezzo (IEEE Robotics Autom. Mag., 2020)

Detection of Hidden Attacks on Cyber-Physical Systems from Serial Magnitude and Sign Randomness Inconsistencies. - Paul J. Bonczek; Nicola Bezzo (ACC, 2021)

Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations. - Paul J. Bonczek; Nicola Bezzo (IROS, 2021)

Gaussian Process-based Interpretable Runtime Adaptation for Safe Autonomous Systems Operations in Unstructured Environments. - Christian Gall; Nicola Bezzo (IROS, 2021)

A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning. - Shijie Gao; Nicola Bezzo (IROS, 2021)

Interpretable Run-Time Prediction and Planning in Co-Robotic Environments. - Rahul Peddi; Nicola Bezzo (IROS, 2021)

A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. - Esen Yel; Nicola Bezzo (IROS, 2021)

Negotiating Visibility for Safe Autonomous Navigation in Occluding and Uncertain Environments. - Jacob Higgins; Nicola Bezzo (IEEE Robotics Autom. Lett., 2021)

Offloaded Receding Horizon Planning for Environments with Variable Communication Delays. - Jacob Higgins; Enrico Bini; Nicola Bezzo (CCTA, 2022)

Optimal Reference Tracking for Sampled-Data Control Systems. - Enrico Bini; Alessandro V. Papadopoulos; Jacob Higgins; Nicola Bezzo (CDC, 2022)

A Model Predictive-based Motion Planning Method for Safe and Agile Traversal of Unknown and Occluding Environments. - Jacob Higgins; Nicola Bezzo (ICRA, 2022)

Resilient Detection and Recovery of Autonomous Systems Operating under On-board Controller Cyber Attacks. - Paul J. Bonczek; Nicola Bezzo (IROS, 2022)

Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity. - Lauren Bramblett; Rahul Peddi; Nicola Bezzo (IROS, 2022)

Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. - Matthew Cleaveland; Esen Yel; Yiannis Kantaros; Insup Lee 001; Nicola Bezzo (IROS, 2022)

A Robust and Fast Occlusion-based Frontier Method for Autonomous Navigation in Unknown Cluttered Environments. - Nicholas Mohammad; Nicola Bezzo (IROS, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (CoRR, 2022)

An Interpretable Monitoring Framework for Virtual Physics-Based Non-Interfering Robot Social Planning. - Rahul Peddi; Nicola Bezzo (IEEE Robotics Autom. Lett., 2022)

Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions. - Esen Yel; Shijie Gao; Nicola Bezzo (IEEE Robotics Autom. Lett., 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (IEEE Robotics Autom. Mag., 2022)

Detection of Nonrandom Sign-Based Behavior for Resilient Coordination of Robotic Swarms. - Paul J. Bonczek; Rahul Peddi; Shijie Gao; Nicola Bezzo (IEEE Trans. Robotics, 2022)

RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations. - Paul J. Bonczek; Nicola Bezzo (ACC, 2023)

Epistemic Prediction and Planning with Implicit Coordination for Multi-Robot Teams in Communication Restricted Environments. - Lauren Bramblett; Shijie Gao; Nicola Bezzo (ICRA, 2023)

Epistemic Planning for Heterogeneous Robotic Systems. - Lauren Bramblett; Nicola Bezzo (IROS, 2023)

A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments. - Jacob Higgins; Nicholas Mohammad; Nicola Bezzo (IROS, 2023)

A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties. - Rahul Peddi; Nicola Bezzo (IROS, 2023)

Epistemic planning for multi-robot systems in communication-restricted environments. - Lauren Bramblett; Nicola Bezzo (Frontiers Robotics AI, 2023)

A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments. - Nicholas Mohammad; Jacob Higgins; Nicola Bezzo (ICRA, 2024)

A Cooperative Recovery Framework for Resilient Multi-Robot Swarm Operations Under Loss of Localization in Unknown Environments. - Paul J. Bonczek; Nicola Bezzo (IROS, 2024)

Robust Online Epistemic Replanning of Multi-Robot Missions. - Lauren Bramblett; Branko Miloradovic; Patrick Sherman; Alessandro V. Papadopoulos; Nicola Bezzo (IROS, 2024)

A Heterogeneous System of Systems Framework for Proactive Path Planning of a UAV-assisted UGV in Uncertain Environments. - Patrick Sherman; Nicola Bezzo (IROS, 2024)

Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection. - Shijie Gao; Lauren Bramblett; Nicola Bezzo (CoRR, 2024)

Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave. - Sagar Parekh; Lauren Bramblett; Nicola Bezzo; Dylan P. Losey (CoRR, 2024)

Optimal reference tracking with arbitrary sampling. - Jacob Higgins; Alessandro V. Papadopoulos; Enrico Bini; Nicola Bezzo (Autom., 2025)

Implicit Coordination using Active Epistemic Inference for Multi-Robot Systems. - Lauren Bramblett; Jonathan Reasoner; Nicola Bezzo (CoRR, 2025)

Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown Environments. - Nicholas Mohammad; Nicola Bezzo (CoRR, 2025)

A Schwarz-Christoffel Mapping-based Framework for Sim-to-Real Transfer in Autonomous Robot Operations. - Shijie Gao; Nicola Bezzo (J. Intell. Robotic Syst., 2025)

Corridor-based Adaptive Control Barrier and Lyapunov Functions for Safe Mobile Robot Navigation. - Nicholas Mohammad; Nicola Bezzo (CoRR, 2025)