Nicola Bezzo

Nicola Bezzo

University of Virginia

H-index: 16

North America-United States

About Nicola Bezzo

Nicola Bezzo, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Robotics, CPS.

His recent articles reflect a diverse array of research interests and contributions to the field:

Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection

Robust Online Epistemic Replanning of Multi-Robot Missions

A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments

A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties

RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations

Epistemic prediction and planning with implicit coordination for multi-robot teams in communication restricted environments

Epistemic planning for multi-robot systems in communication-restricted environments

A model predictive path integral method for fast, proactive, and uncertainty-aware UAV planning in cluttered environments

Nicola Bezzo Information

University

Position

Assistant Professor

Citations(all)

1241

Citations(since 2020)

779

Cited By

810

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

28

i10Index(since 2020)

18

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Nicola Bezzo Skills & Research Interests

Robotics

CPS

Top articles of Nicola Bezzo

Title

Journal

Author(s)

Publication Date

Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection

arXiv preprint arXiv:2403.05477

Shijie Gao

Lauren Bramblett

Nicola Bezzo

2024/3/8

Robust Online Epistemic Replanning of Multi-Robot Missions

arXiv preprint arXiv:2403.00641

Lauren Bramblett

Branko Miloradovic

Patrick Sherman

Alessandro V Papadopoulos

Nicola Bezzo

2024/3/1

A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments

arXiv preprint arXiv:2402.01617

Nicholas Mohammad

Jacob Higgins

Nicola Bezzo

2024/2/2

A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties

Rahul Peddi

Nicola Bezzo

2023/10/1

RSSI-based Localization with Adaptive Noise Covariance Estimation for Resilient Multi-Agent Formations

Paul J Bonczek

Nicola Bezzo

2023/5/31

Epistemic prediction and planning with implicit coordination for multi-robot teams in communication restricted environments

Lauren Bramblett

Shijie Gao

Nicola Bezzo

2023/5/29

Epistemic planning for multi-robot systems in communication-restricted environments

Frontiers in Robotics and AI

Lauren Bramblett

Nicola Bezzo

2023/5/23

A model predictive path integral method for fast, proactive, and uncertainty-aware UAV planning in cluttered environments

Jacob Higgins

Nicholas Mohammad

Nicola Bezzo

2023/10/1

A General Framework for Human-Drone Interaction under Limited On-board Sensing

S Nayhouse

S Chadha

P Hourican

C Moore

N Bezzo

2023/4/27

Epistemic Planning for Heterogeneous Robotic Systems

Lauren Bramblett

Nicola Bezzo

2023/10/1

Autonomous ground navigation in highly constrained spaces: Lessons learned from the benchmark autonomous robot navigation challenge at icra 2022 [competitions]

IEEE Robotics & Automation Magazine

Xuesu Xiao

Zifan Xu

Zizhao Wang

Yunlong Song

Garrett Warnell

...

2022/12/7

Detection of nonrandom sign-based behavior for resilient coordination of robotic swarms

IEEE Transactions on Robotics

Paul J Bonczek

Rahul Peddi

Shijie Gao

Nicola Bezzo

2022/1/19

ICRA 2022 Highlights

IEEE Robotics & Automation Magazine

Vijay Kumar

George J Pappas

Hadas Kress Gazit

Aisha Walcott-Bryant

Hanna Kurniawati

...

2022/9

Optimal Reference Tracking for Sampled-Data Control Systems

Enrico Bini

Alessandro V Papadopoulos

Jacob Higgins

Nicola Bezzo

2022

Offloaded receding horizon planning for environments with variable communication delays

Jacob Higgins

Enrico Bini

Nicola Bezzo

2022/8/23

A robust and fast occlusion-based frontier method for autonomous navigation in unknown cluttered environments

Nicholas Mohammad

Nicola Bezzo

2022/10/23

Meta-learning-based proactive online planning for uavs under degraded conditions

IEEE Robotics and Automation Letters

Esen Yel

Shijie Gao

Nicola Bezzo

2022/7/18

Coordinated multi-agent exploration, rendezvous, & task allocation in unknown environments with limited connectivity

Lauren Bramblett

Rahul Peddi

Nicola Bezzo

2022/10/23

A model predictive-based motion planning method for safe and agile traversal of unknown and occluding environments

Jacob Higgins

Nicola Bezzo

2022/5/23

Resilient Detection and Recovery of Autonomous Systems Operating under On-board Controller Cyber Attacks

Paul J Bonczek

Nicola Bezzo

2022/10/23

See List of Professors in Nicola Bezzo University(University of Virginia)

Co-Authors

H-index: 130
Vijay Kumar

Vijay Kumar

University of Pennsylvania

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 75
Insup Lee

Insup Lee

University of Pennsylvania

H-index: 54
Oleg Sokolsky

Oleg Sokolsky

University of Pennsylvania

H-index: 43
Rafael Fierro

Rafael Fierro

University of New Mexico

H-index: 37
Miroslav Pajic

Miroslav Pajic

Duke University

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