Guangyi Liu

According to our database, Guangyi Liu authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF.

Guangyi Liu, Wen Jiang, Boshu Lei, Vivek Pandey, Kostas Daniilidis, Nader Motee

CoRR, 2024

Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation.

Vivek Pandey, Arash Amini, Guangyi Liu, Ufuk Topcu, Qiyu Sun, Kostas Daniilidis, Nader Motee

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Data-Driven Distributionally Robust Mitigation of Risk of Cascading Failures.

Guangyi Liu, Arash Amini, Vivek Pandey, Nader Motee

Proceedings of the American Control Conference, 2024

2023

Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks With Time-Delayed and Corrupted Measurements.

Christoforos Somarakis, Guangyi Liu, Nader Motee

IEEE Trans. Autom. Control., December, 2023

Risk of Cascading Collisions in Network of Vehicles with Delayed Communication.

Guangyi Liu, Christoforos Somarakis, Nader Motee

CoRR, 2023

Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles.

Vivek Pandey, Guangyi Liu, Arash Amini, Nader Motee

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Impact of Misperception on Emergence of Risk in Platoon of Autonomous Vehicles.

Arash Amini, Guangyi Liu, Vivek Pandey, Nader Motee

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous.

Guangyi Liu, Vivek Pandey, Christoforos Somarakis, Nader Motee

Proceedings of the American Control Conference, 2023

Symbolic Perception Risk in Autonomous Driving.

Guangyi Liu, Disha Kamale, Cristian-Ioan Vasile, Nader Motee

Proceedings of the American Control Conference, 2023

2022

Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input.

Guangyi Liu, Arash Amini, Martin Takác, Nader Motee

CoRR, 2022

Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles.

Guangyi Liu, Christoforos Somarakis, Nader Motee

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Risk of Cascading Failures in Multi-agent Rendezvous with Communication Time Delay.

Guangyi Liu, Vivek Pandey, Christoforos Somarakis, Nader Motee

Proceedings of the American Control Conference, 2022

2021

Risk of Cascading Failures in Platoon of Autonomous Vehicles with Delayed Communication.

Guangyi Liu, Christoforos Somarakis, Nader Motee

CoRR, 2021

Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks.

Christoforos Somarakis, Guangyi Liu, Nader Motee

CoRR, 2021

Risk of Cascading Failures in Time-Delayed Vehicle Platooning.

Guangyi Liu, Christoforos Somarakis, Nader Motee

CoRR, 2021

Classification-Aware Path Planning of Network of Robots.

Guangyi Liu, Arash Amini, Martin Takác, Nader Motee

Proceedings of the Distributed Autonomous Robotic Systems - 15th International Symposium, 2021

Risk of Cascading Failures in Time-Delayed Vehicle Platooning^*.

Guangyi Liu, Christoforos Somarakis, Nader Motee

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise.

Arash Amini, Guangyi Liu, Nader Motee

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure.

Guangyi Liu, Arash Amini, Martin Takác, Héctor Muñoz-Avila, Nader Motee

CoRR, 2020

2019

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning.

Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takác, Héctor Muñoz-Avila, Nader Motee

CoRR, 2019