2 citations · 2 across the 10 of their papers we have counts for
6 papers · 1 filter
Traj-VLN: Learning Pixel-Space Interaction via Autoregressive Trajectory Generation
Changfei Fu, Guangcheng Chen, Aoxiang Gu +3
Benefiting from the powerful priors embedded in large-scale pre-training data and the emerging commonsense reasoning ability, large language models (LLMs) have shown unprecedented…
Exposing the Long-tail in Embodied Urban Navigation via Scalable Learning from In-the-Wild Videos
Bingyi Xia, Han Bao, Zhewei Chen +5
Learning embodied urban navigation policies from real-world data is constrained by the cost of task-specific data collection and the limited coverage of rare yet safety-critical sc…
CrossTracer: Cross-Embodiment Navigation via VLA Model Reasoning and Trace Residuals Adapting
Yao Wang, Siyuan Wang, Zhirui Sun +4
Vision-language-action (VLA) models provide strong semantic priors for robot navigation, but they often ignore embodiment-specific mobility constraints. A path that is semantically…
NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation
Bingyi Xia, Han Bao, Jingyu Zhu +6
Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety and natural human-robot interaction in real-world environments shared…
Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations
Han Bao, Bingyi Xia, Hanjing Ye +5
Robot crowd navigation requires the ability to infer human intentions while accounting for the structural constraints of the environment. Currently, deep reinforcement learning (DR…
Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?
Yu Zhan, Guangcheng Chen, Hanjing Ye +4
Single-view mesh reconstruction predicts object meshes and spatial layouts from a single observation, making it attractive for fast robot spatial reasoning and real-to-sim digital…