7 papers · 1 filter
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…
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…
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…
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…
STRIVE: Structured Representation Integrating VLM Reasoning for Efficient Object Navigation
Haokun Zhu, Zongtai Li, Zhixuan Liu +4
Vision-Language Models (VLMs) have been increasingly integrated into object navigation tasks for their rich prior knowledge and strong reasoning abilities. However, applying VLMs t…
VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
Haochen Zhang, Nader Zantout, Pujith Kachana +3
With the recent rise of Large Language Models (LLMs), Vision-Language Models (VLMs), and other general foundation models, there is growing potential for multimodal, multi-task embo…