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06/30/2023
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Recent research has examined the possibility of using robots to guide ev...
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02/28/2023
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models
Emergency evacuation describes a complex situation involving time-critic...
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02/03/2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Bilevel optimization has been developed for many machine learning tasks ...
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09/20/2022
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
This work studies a robot-assisted crowd evacuation problem where we con...
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05/11/2021
Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning
We study the problem where a group of agents aim to collaboratively lear...
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09/22/2020
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Nowadays, the prevalence of sensor networks has enabled tracking of the ...
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08/01/2020
Cyber-Resilient Transactive Energy System Design over Insecure Communication Links
In this paper, the privacy and security issues associated with transacti...
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12/16/2019
On privacy preserving data release of linear dynamic networks
Distributed data sharing in dynamic networks is ubiquitous. It raises th...
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07/18/2019
Optimal Bi-level Lottery Design for Multi-agent Systems
We consider a bi-level lottery where a social planner at the high level ...
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07/29/2018
ROPNN: Detection of ROP Payloads Using Deep Neural Networks
Return-oriented programming (ROP) is a code reuse attack that chains sho...
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05/01/2018
Privacy preserving distributed optimization using homomorphic encryption
This paper studies how a system operator and a set of agents securely ex...
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04/09/2018
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots
This technical report provides the description and the derivation of a n...
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02/25/2018