← Search

Linghong Yao

2 accepted papers

2024

Local Path Planning among Pushable Objects based on Reinforcement Learning

IROS 2024poster

In this paper, we introduce a method to tackle the problem of robot local path planning among pushable objects –an open problem in robotics. In particular, we simultaneously train multiple agents in a physics-based simulation environment, utilizing an Advantage Actor-Critic algorithm coupled with a…

Cited by 2SourceScholar
2021

ShorelineNet: An Efficient Deep Learning Approach for Shoreline Semantic Segmentation for Unmanned Surface Vehicles

IROS 2021poster

This paper introduces a novel deep learning approach to semantic segmentation of the shoreline environments with a high frames-per-second (fps) performance, making the approach readily applicable to autonomous navigation for Unmanned Surface Vehicles (USV). The proposed ShorelineNet is an efficient…

Cited by 43SourceScholar