collaborators

6 papers

cs.RO2026

Real-Time Auto-Optimization in Unknown Environments via Structure-Exploiting Dual Control for Exploration and Exploitation

Shiying Dong, Haoyang Yang, Qiwei Liu +1

This paper develops a fast numerical dual control for exploration and exploitation (DCEE) method to address auto-optimization problems in unknown environments. In auto-optimization…

eess.SP2026

MIMO OFDM-Enabled ISAC for Low-Altitude Non-Cooperative UAV Surveillance: A Survey

Shiyu Bai, Sijia Li, Cunyi Yin +4

The widespread use of unmanned aerial vehicles (UAVs) in low-altitude airspace has raised significant safety and security concerns, motivating the development of reliable non-coope…

eess.SY2026

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance

Yalei Yu, Matthew Coombes, Wen-Hua Chen +7

Active object detection, which aims to identify objects of interest through controlled camera movements, plays a pivotal role in real-world visual perception for autonomous robotic…

cs.RO2026

A Fast Semidefinite Convex Relaxation for Optimal Control Problems With Spatio-Temporal Constraints

Shiying Dong, Zhipeng Shen, Rudolf Reiter +4

Solving optimal control problems (OCPs) of autonomous agents operating under spatial and temporal constraints fast and accurately is essential in applications ranging from eco-driv…

eess.SY2025

Approaches to Analysis and Design of AI-Based Autonomous Vehicles

Tao Yan, Zheyu Zhang, Jingjing Jiang +1

Artificial intelligence (AI) models are becoming key components in an autonomous vehicle (AV), especially in handling complicated perception tasks. However, closing the loop throug…

eess.SY2025

Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based Perception

Tao Yan, Zheyu Zhang, Jingjing Jiang +1

Safety is a critical concern in autonomous vehicle (AV) systems, especially when AI-based sensing and perception modules are involved. However, due to the black box nature of AI al…