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Guangyi Liu
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A layered architecture for active perception: Image classification using deep reinforcement learning
HK Mousavi, G Liu, W Yuan, M Takáč, H Muńoz-Avila, N Motee
arXiv preprint arXiv:1909.09705, 2019
82019
Risk of Cascading Failures in Time-Delayed Vehicle Platooning
G Liu, C Somarakis, N Motee
2021 60th IEEE Conference on Decision and Control (CDC), 4841-4846, 2021
32021
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
A Amini, G Liu, N Motee
2021 60th IEEE Conference on Decision and Control (CDC), 783-788, 2021
22021
Distributed map classification using local observations
G Liu, A Amini, M Takáč, H Muńoz-Avila, N Motee
arXiv preprint arXiv:2012.10480, 2020
2*2020
Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input
G Liu, A Amini, M Takac, N Motee
arXiv preprint arXiv:2203.05403, 2022
12022
Risk of Cascading Failures in Multi-agent Rendezvous with Communication Time Delay
G Liu, V Pandey, C Somarakis, N Motee
2022 American Control Conference (ACC), 2172-2177, 2022
2022
Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks
C Somarakis, G Liu, N Motee
arXiv preprint arXiv:2112.14675, 2021
2021
Classification-Aware Path Planning of Network of Robots
G Liu, A Amini, M Takáč, N Motee
International Symposium Distributed Autonomous Robotic Systems, 294-305, 2021
2021
Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles
G Liu, C Somarakis, N Motee
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Articles 1–9