Jiangshuai Huang — accepted AI-conference papers

2026

PACE: Proactive UAV-Assisted Collaborative Motion Planning for UGV Navigation Enhancement

Yudu Jiao, Tao Jiang, Zhilin Huang, Chunyuan Fu, Jiangshuai Huang

RA-L 2026

Existing air–ground collaborative systems often rely on passive or reactive coordination, which can cause discontinuous motion and underuse the UAV's ability for anticipatory support. To address these limitations, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://

Cited by 0 Source ↗Scholar ↗

2025

Efficient 7-DoF Grasp for Target-Driven Object in Dense Cluttered Scenes

Tianjiao Lei, Yizhuo Sun, Yi Huang, Jiangshuai Huang, Tao Jiang

ICRA 2025

Achieving a real-time precise grasp of a specified target object in densely cluttered environments is an essential capability for autonomous robot operation. Recently, considerable investigations on planar and spatial grasp have been carried out, and significant results have been obtained. However,

Cited by 2 Source ↗code ↗Scholar ↗