6 papers · 1 filter
AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning
Hang Yin, Yinan Liang, Jiazhao Zhang +4
Lifelong embodied navigation in dynamic environments requires robots to form persistent scene understanding from fragmentary observations, which remains difficult for existing meth…
NavGSim: High-Fidelity Gaussian Splatting Simulator for Large-Scale Navigation
Jiahang Liu, Yuanxing Duan, Jiazhao Zhang +4
Simulating realistic environments for robots is widely recognized as a critical challenge in robot learning, particularly in terms of rendering and physical simulation. This challe…
SPAN-Nav: Generalized Spatial Awareness for Versatile Vision-Language Navigation
Jiahang Liu, Tianyu Xu, Jiawei Chen +9
Recent embodied navigation approaches leveraging Vision-Language Models (VLMs) demonstrate strong generalization in versatile Vision-Language Navigation (VLN). However, reliable pa…
TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
Jiahang Liu, Yunpeng Qi, Jiazhao Zhang +9
Embodied Visual Tracking (EVT) is a fundamental ability that underpins practical applications, such as companion robots, guidance robots and service assistants, where continuously…
Embodied Navigation Foundation Model
Jiazhao Zhang, Anqi Li, Yunpeng Qi +14
Navigation is a fundamental capability in embodied AI, representing the intelligence required to perceive and interact within physical environments following language instructions.…
TrackVLA: Embodied Visual Tracking in the Wild
Shaoan Wang, Jiazhao Zhang, Minghan Li +7
Embodied visual tracking is a fundamental skill in Embodied AI, enabling an agent to follow a specific target in dynamic environments using only egocentric vision. This task is inh…