10 citations · 10 across the 15 of their papers we have counts for
19 papers · 1 filter
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…
ReferTrack: Referring Then Tracking for Embodied Visual Tracking
Hanjing Ye, Tianle Zeng, Jiazhao Zhang +6
Embodied visual tracking (EVT) requires a mobile agent to continuously follow a specific target described in natural language using only onboard vision. While recent vision-languag…
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…
TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Tianle Zeng, Hanjing Ye, Jianwei Peng +3
Outdoor vision-language navigation (VLN) in long-range, open-world environments is frequently disrupted by semantic-cue interruptions, where informative goal cues become sparse, oc…
MfNeuPAN: Proactive End-to-End Navigation in Dynamic Environments via Direct Multi-Frame Point Constraints
Yiwen Ying, Hanjing Ye, Senzi Luo +4
Obstacle avoidance in complex and dynamic environments is a critical challenge for real-time robot navigation. Model-based and learning-based methods often fail in highly dynamic s…