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20242026
most citedSUPER ODOMETRY 2.0: Resilient Odometry via Hierarchical Adaptation

4 citations · 6 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026★ 4 cited

SUPER ODOMETRY 2.0: Resilient Odometry via Hierarchical Adaptation

Shibo Zhao, Sifan Zhou, Yuchen Zhang +4

Resilient and robust odometry is crucial for autonomous systems operating in complex and dynamic environments. Existing odometry systems often struggle with severe sensory degradat…

cs.RO2026

SuperMap: A Spatio-Temporal SLAM System for Visual-Language Navigation

Shibo Zhao, Guofei Chen, Honghao Zhu +7

Robotic navigation in human environments requires a spatio-temporal semantic representation that can rec- oncile open-vocabulary perception with long-term environmental changes. Wh…

cs.CV2026

Goal2Pixel: Grounding Goals to Pixels for Vision-Language Navigation

Muyi Bao, Yuxin Cai, Hang Xu +7

Vision-language models (VLMs) have become a common foundation for vision-and-language navigation in continuous environments (VLN-CE). Yet most VLM-based methods cast navigation as…

cs.RO2026

IntentNav: Learning Spatial-Visual Object Navigation from Human Demonstrations

Yuxin Cai, Zongtai Li, Maonan Wang +9

Object navigation requires a robot to search for an unobserved target in an unknown environment by deciding where to explore next under partial observability. Effective search rese…

cs.RO2026

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

Haokun Zhu, Zongtai Li, Zihan Liu +8

Object navigation (ObjectNav) in real-world environments is a complex problem that requires simultaneously addressing multiple challenges, including complex spatial structure, long…