no code implementations • 17 Jun 2025 • Shiyu Cheng, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
Compared to the baseline multi-agent planning approach, our method maintains computational efficiency as the number of agents increases, since the computational time scales with the number of swarms rather than the number of agents.
no code implementations • 28 Nov 2024 • Shiyu Cheng, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
This paper considers the problem of designing non-pharmaceutical intervention (NPI) strategies, such as masking and social distancing, to slow the spread of a viral epidemic.
no code implementations • 19 Jul 2024 • Guan Li, Yang Liu, Guihua Shan, Shiyu Cheng, Weiqun Cao, Junpeng Wang, Ko-Chih Wang
Through experiments conducted on real-world simulations and comparisons with state-of-the-art deep learning-based approaches, we demonstrate the efficacy of our solution.
no code implementations • 14 Feb 2023 • Hongchao Zhang, Zhouchi Li, Shiyu Cheng, Andrew Clark
In this paper, we propose an approach to detect and mitigate LiDAR spoofing attacks by leveraging LiDAR scan data from other neighboring vehicles.
no code implementations • 11 Aug 2022 • Hongchao Zhang, Shiyu Cheng, Luyao Niu, Andrew Clark
We prove that the synthesized control input guarantees system safety using control barrier certificates.