activity
20182026
most citedLearning to Navigate in Indoor Environments: from Memorizing to Reasoning

14 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving

Quanfu Yu, Xian Wu, Hao Xu +1

Vision-Language-Action (VLA) models augmented with world modeling represent a promising paradigm for end-to-end autonomous driving. While pixel-level future prediction enables fine…

cs.RO2025

Scene-Adaptive Motion Planning with Explicit Mixture of Experts and Interaction-Oriented Optimization

Hongbiao Zhu, Liulong Ma, Xian Wu +2

Despite over a decade of development, autonomous driving trajectory planning in complex urban environments continues to encounter significant challenges. These challenges include t…

cs.RO2019★ 9 cited

Using RGB Image as Visual Input for Mapless Robot Navigation

Liulong Ma, Yanjie Liu*, Jiao Chen

Robot navigation in mapless environment is one of the essential problems and challenges in mobile robots. Deep reinforcement learning is a promising technique to tackle the task of…

cs.RO2019★ 14 cited

Learning to Navigate in Indoor Environments: from Memorizing to Reasoning

Liulong Ma, Yanjie Liu, Jiao Chen +1

Autonomous navigation is an essential capability of smart mobility for mobile robots. Traditional methods must have the environment map to plan a collision-free path in workspace.…

cs.RO2018

Plantbot: A New ROS-based Robot Platform for Fast Building and Developing

Liulong Ma, Yibo Gao, ChuanMing Zhu +1

In recent years, the Robot Operating System (ROS) is developing rapidly and has been widely used in robotics research because of its flexible, open source, and extensive advantages…