7 papers
Observability-Enhanced Target Motion Estimation via Bearing-Box: Theory and MAV Applications
Yin Zhang, Zian Ning, Shiyu Zhao
Monocular vision-based target motion estimation is a fundamental challenge in numerous applications. This work introduces a novel bearing-box approach that fully leverages modern 3…
Multi-Robot Cooperative Herding through Backstepping Control Barrier Functions
Kang Li, Ming Li, Wenkang Ji +2
We propose a novel cooperative herding strategy through backstepping control barrier functions (CBFs), which coordinates multiple herders to herd a group of evaders safely towards…
Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
Guobin Zhu, Rui Zhou, Wenkang Ji +3
Multi-task multi-agent reinforcement learning (MT-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challen…
EvDetMAV: Generalized MAV Detection from Moving Event Cameras
Yin Zhang, Zian Ning, Xiaoyu Zhang +3
Existing micro aerial vehicle (MAV) detection methods mainly rely on the target's appearance features in RGB images, whose diversity makes it difficult to achieve generalized MAV d…
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
Guobin Zhu, Rui Zhou, Wenkang Ji +1
Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. La…
Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos
Shucheng Gong, Lingzhe Zhao, Wenpu Li +4
Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superio…