Xingrui Liu — accepted AI-conference papers

2025

GeoSafe: A Unified Unconstrained Multi-DOF Optimization Framework for Multi-UAV Cooperative Hoisting and Obstacle Avoidance

Xingyu Li, Hongyu Nie, Haoxuan Xu, Xingrui Liu, Zhaotong Tan, Chunyu Jiang +2

IROS 2025

In warehouse logistics and post-disaster rescue, multi-UAV payload transport must navigate tight spaces, such as 1.2m × 0.8m aisles and collapsed pipelines as narrow as 0.6m. Traditional four-DOF (translation and scaling) trajectory planning struggles under such constraints. To overcome this, we pro

Cited by 1 Source ↗Scholar ↗

2025

Real-Time Occupancy Grid Mapping Using RMM on Large-scale and Unstructured Environments

Xingyu Li, Haoxuan Xu, Xingrui Liu, Zhaotong Tan

IROS 2025

Occupancy mapping is crucial for distinguishing between known and unknown regions, which plays a significant role in the autonomous exploration of unmanned aerial vehicles (UAVs). However, the construction of high-quality maps is still a challenge. The challenge comes from the following factors. The

Cited by 0 Source ↗Scholar ↗