Yueyong Lyu — accepted AI-conference papers

2025

MPC-Based Position Control for Multi-Segment Pneumatic Soft Manipulator Considering Obstacle Avoidance

Shuangquan Zou, Hongying Zhang, Yueyong Lyu, Yanning Guo, Guangfu Ma

RA-L 2025

Multi-segment pneumatic soft manipulators are highly valued for their predominated characteristics in safety and dexterity. However, achieving precise position control in the presence of obstacles remains challenging, particularly when targets are close to the obstacle. Model predictive control (MPC

Cited by 4 Source ↗Scholar ↗

2023

InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles Segmentation

Zhen Feng, Yanning Guo, David Navarro-Alarcon, Yueyong Lyu, Yuxiang Sun

RA-L 2023

Segmentation of road obstacles, including negative and positive obstacles, is critical to the safe navigation of autonomous vehicles. Recent methods have witnessed an increasing interest in using multi-modal data fusion (e.g., RGB and depth/disparity images). Although improved segmentation accuracy

Cited by 16 Source ↗code ↗Scholar ↗