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Matthew Cavorsi
Matthew Cavorsi
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Crowd vetting: Rejecting adversaries via collaboration with application to multirobot flocking
F Mallmann-Trenn, M Cavorsi, S Gil
IEEE Transactions on Robotics 38 (1), 5-24, 2021
242021
Exploiting trust for resilient hypothesis testing with malicious robots
M Cavorsi, OE Akgün, M Yemini, AJ Goldsmith, S Gil
2023 IEEE International Conference on Robotics and Automation (ICRA), 7663-7669, 2023
102023
Multi-robot adversarial resilience using control barrier functions
M Cavorsi, L Sabattini, S Gil
IEEE Transactions on Robotics, 2023
92023
Tractable compositions of discrete-time control barrier functions with application to lane keeping and obstacle avoidance
M Cavorsi, M Khajenejad, R Niu, Q Shen, SZ Yong
arXiv preprint arXiv:2004.01858, 2020
42020
Adaptive malicious robot detection in dynamic topologies
M Cavorsi, N Jadhav, D Saldaña, S Gil
2022 IEEE 61st Conference on Decision and Control (CDC), 2236-2243, 2022
32022
Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks
M Cavorsi, F Mallmann-Trenn, D Saldaña, S Gil
arXiv preprint arXiv:2304.00551, 2023
22023
Providing Local Resilience to Vulnerable Areas in Robotic Networks
M Cavorsi, S Gil
2022 International Conference on Robotics and Automation (ICRA), 4929-4935, 2022
22022
Tractable Compositions of Discrete-Time Control Barrier Functions with Application to Driving Safety Control
M Khajenejad, M Cavorsi, R Niu, Q Shen, SZ Yong
2021 European Control Conference (ECC), 1303-1309, 2021
22021
Community Consensus: Converging Locally despite Adversaries and Heterogeneous Connectivity
C Gava, A Vekassy, M Cavorsi, S Gil, F Mallmann-Trenn
arXiv preprint arXiv:2310.08488, 2023
2023
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots (evolved version)
M Cavorsi, OE Akgün, M Yemini, A Goldsmith, S Gil
arXiv preprint arXiv:2303.04075, 2023
2023
Resilient Multi-Robot Coordination Using Network Connectivity and Trust
MJ Cavorsi
Harvard University, 2023
2023
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