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cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

DA-VPC: Disturbance-Aware Visual Predictive Control Scheme of Docking Maneuvers for Autonomous Trolley Collection

Yuhan Pang, Bingyi Xia, Zhe Zhang +5

Service robots have demonstrated significant potential for autonomous trolley collection and redistribution in public spaces like airports or warehouses to improve efficiency and r…

cs.RO2025

SONAR: Semantic-Object Navigation with Aggregated Reasoning through a Cross-Modal Inference Paradigm

Yao Wang, Zhirui Sun, Wenzheng Chi +3

Understanding human instructions and accomplishing Vision-Language Navigation tasks in unknown environments is essential for robots. However, existing modular approaches heavily re…

cs.RO2025

FLAF: Focal Line and Feature-constrained Active View Planning for Visual Teach and Repeat

Changfei Fu, Weinan Chen, Wenjun Xu +1

This paper presents FLAF, a focal line and feature-constrained active view planning method for tracking failure avoidance in feature-based visual navigation of mobile robots. Our F…