SOURCE-LINKED INTELLIGENCE
RTNav: Towards Real-Time Zero-Shot Object Navigation
Navigation in unknown environments to find unforeseen objects has become increasingly feasible with capable vision and language foundation models. However, these models also introduce non-negligible inference latency, which becomes an important concern when agents must operate continuously in the real world. Most state-of-the-art methods are still developed in synchronous simulators, where the environment waits for the agent to act and inference time is effectively free. As a result, agents are often designed around the sequential execution of perception, reasoning, and action, with little reg
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T00:35:50.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.