Qin Rao — accepted AI-conference papers

2026

Robust High-Precision Trajectory Planning for Payload Transportation in Overhead Cranes: A Disturbance-Aware Approach

Zheng Tian, Qin Rao, Dan Niu, Shihua Li, Jun Yang

RA-L 2026

The coordinated motion of the trolley and hoisting rope improves crane flexibility but poses challenges in precise trajectory conversion and tracking due to disturbances and inaccessible low-level controllers. This letter proposes a disturbance-aware high-precision trajectory planning method integra

Cited by 1 Source ↗Scholar ↗

2026

Safety-Critical Steering Control for Rubber-Tired Container Gantry Cranes: A State-Interlocked CBF Approach

Cong Li, Qin Rao, Zheng Tian, Jun Yang

RA-L 2026

The rubber-tired container gantry crane (RTG) is a type of heavy-duty lifting equipment commonly used in container yards, which is driven by two-side rubber tires and steered via differential drive. While moving along the desired path, the RTG must remain centered of the lane with restricted heading

Cited by 0 Source ↗Scholar ↗