Zhengping Fan — accepted AI-conference papers

2026

FlyAware: Inertia-Aware Aerial Manipulation via Vision-Based Estimation and Post-Grasp Adaptation

Biyu Ye, Na Fan, Zhengping Fan, Weiliang Deng, Hongming Chen, Qifeng Chen +1

RA-L 2026

Aerial manipulators (AMs) are gaining increasing attention in automated transportation and emergency services due to their superior dexterity compared to conventional multirotor drones. However, their practical deployment is challenged by the complexity of time-varying inertial parameters, which are

Cited by 1 Source ↗Scholar ↗

2023

FAEL: Fast Autonomous Exploration for Large-scale Environments With a Mobile Robot

Junlong Huang, Boyu Zhou, Zhengping Fan, Yilin Zhu, Yingrui Jie, Longwei Li +1

RA-L 2023

Autonomous exploration in large-scale and complex environments is a challenging task. As the size of the environment increases, the significant overhead of exploration algorithms could overwhelm the computational capability of mobile platforms, prohibiting timely response to environmental changes. M

Cited by 80 Source ↗Scholar ↗