← Search

Yifeng Niu

3 accepted papers

2025

PI-WAN: A Physics-Informed Wind-Adaptive Network for Quadrotor Dynamics Prediction in Unknown Environments

IROS 2025

Accurate dynamics modeling is essential for quadrotors to achieve precise trajectory tracking in various applications. Traditional physical knowledge-driven modeling methods face substantial limitations in unknown environments characterized by variable payloads, wind disturbances, and external pertu

Cited by 0Source ↗Scholar ↗
2025

Reducing Scene Graph Generation Parameters Towards UAV Understanding of Structured Environments

IROS 2025

Scene graph generation (SGG) is a structured approach to understanding real-world scenes with complex relations, which can enhance UAV autonomy in unfamiliar environments. However, SGG typically has numerous model parameters that require considerable computational resources. This paper proposes a re

Cited by 1Source ↗code ↗Scholar ↗
2024

TICOP: Time-Critical Coordinated Planning for Fixed-Wing UAVs in Unknown Unstructured Environments

RA-L 2024

Safe coordination of fixed-wing UAVs in unstructured environments poses challenges due to the intricate coupling of UAV cooperation, obstacle avoidance, and motion constraints. One task is time-critical coordination, which means that all UAVs can safely reach their destinations simultaneously. Exist

Cited by 3Source ↗Scholar ↗