publications

2026

1. RA-L

   

   SysNav: Multi-Level Systematic Cooperation Enables Real-World, Cross-Embodiment Object Navigation

   Haokun Zhu, Zongtai Li, Zihan Liu, and 8 more authors

   IEEE Robotics and Automation Letters, 2026

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   SysNav is a three-level object navigation system that decouples semantic reasoning, room-based navigation planning, and embodiment-specific motion control. It generalizes across wheeled, quadruped, and humanoid robots and reports 190 real-world experiments with strong gains in navigation efficiency over prior baselines.

2. arXiv

   Scene Change Detection with Vision-Language Representation Learning

   Diwei Sheng, Vijayraj Gohil, Satyam Gaba, and 5 more authors

   arXiv preprint arXiv:2604.11402, 2026

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   LangSCD introduces a vision-language framework for scene change detection that uses language-guided semantic reasoning, cross-modal feature enhancement, and geometric-semantic matching. The work also introduces NYC-CD, a large-scale dataset with multiclass scene-change annotations for real-world urban imagery.