EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation
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 robots. A simplified version of such task is Object Goal Navigation (ObjNav). In ObjNav, successful arrival at the target object provides a basic measure of performance; however, the efficiency of the navigation trajectory is equally important, as it indicates how intelligently the agent explores and how much time remains for subsequent tasks. In unknown environments, the key to efficient navigation lies in deciding where to explore next. While many prior works aim to address this core challenge and achieved promisin...
| Authors | Zecheng Yin, Benedict Jun Ma |
|---|---|
| Primary category | cs.RO |
| Published | 17 June 2026 |
| Last updated at source | 17 June 2026 |
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