8 papers
Generation of Indoor Open Street Maps for Robot Navigation from CAD Files
Jiajie Zhang, Shenrui Wu, Xu Ma +1
The deployment of autonomous mobile robots is predicated on the availability of environmental maps, yet conventional generation via SLAM (Simultaneous Localization and Mapping) suf…
osmAG-Nav: A Hierarchical Semantic Topometric Navigation Stack for Robust Lifelong Indoor Autonomy
Yongqi Zhang, Jiajie Zhang, Chengqian Li +2
The deployment of mobile robots in large-scale, multi-floor environments demands navigation systems that achieve spatial scalability without compromising local kinematic precision.…
From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial Settings
Jiajie Zhang, Sören Schwertfeger, Alexander Kleiner
We present a novel unsupervised framework to unlock vast unlabeled human demonstration data from continuous industrial video streams for Vision-Language-Action (VLA) model pre-trai…
HaltNav: Reactive Visual Halting over Lightweight Topological Priors for Robust Vision-Language Navigation
Zihui Yu, Pingcong Li, Bichi Zhang +1
Vision-and-Language Navigation (VLN) is shifting from rigid, step-by-step instruction following toward open-vocabulary, goal-oriented autonomy. Achieving this transition without ex…
osmAG-LLM: Zero-Shot Open-Vocabulary Object Navigation via Semantic Maps and Large Language Models Reasoning
Fujing Xie, Sören Schwertfeger, Hermann Blum
Recent open-vocabulary robot mapping methods enrich dense geometric maps with pre-trained visual-language features, achieving a high level of detail and guiding robots to find obje…
WiFi-based Global Localization in Large-Scale Environments Leveraging Structural Priors from osmAG
Xu Ma, Jiajie Zhang, Fujing Xie +1
Global localization is essential for autonomous robotics, especially in indoor environments where the GPS signal is denied. We propose a novel WiFi-based localization framework tha…