Jiaxin Qiu — accepted AI-conference papers

2024

PE-Planner: A Performance-Enhanced Quadrotor Motion Planner for Autonomous Flight in Complex and Dynamic Environments

Jiaxin Qiu, Qingchen Liu, Jiahu Qin, Dewang Cheng, Yawei Tian, Qichao Ma

RA-L 2024

The role of a motion planner is pivotal in quadrotor applications, yet existing methods often struggle to adapt to complex environments, limiting their ability to achieve fast, safe, and robust flight. In this letter, we introduce a performance-enhanced quadrotor motion planner designed for autonomo

Cited by 10 Source ↗Scholar ↗

2024

SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm in Complex Dynamic Scenes

Jianmin Qin, Jiahu Qin, Jiaxin Qiu, Qingchen Liu, Man Li, Qichao Ma

RA-L 2024

For real-world navigation, it is important to endow robots with the capabilities to navigate safely and efficiently in a complex environment with both dynamic and static obstacles. However, achieving path-finding in non-convex complex environments without maps as well as enabling multiple robots to

Cited by 22 Source ↗Scholar ↗