3 papers
cs.RO2026
EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation
Zecheng Yin, Benedict Jun Ma
To locate a target object while exploring the unknown environment is a fundamental capability for autonomous agents, with applications ranging from search-and-rescue to field robot…
cs.RO2025
HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment
Zecheng Yin, Hao Zhao, Zhen Li
Objective-oriented navigation(ObjNav) enables robot to navigate to target object directly and autonomously in an unknown environment. Effective perception in navigation in unknown…
cs.CV2025
Navigation with VLM framework: Towards Going to Any Language
Zecheng Yin, Chonghao Cheng, and Yao Guo +1
Navigating towards fully open language goals and exploring open scenes in an intelligent way have always raised significant challenges. Recently, Vision Language Models (VLMs) have…