ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
Overview
This paper introduces ProCompNav, a framework for agentic robots to resolve ambiguous navigation requests through proactive clarification. The method employs a two-stage process involving candidate pool construction and Recursive Comparative Judgment (RCJ), which iteratively narrows options using binary questions based on attribute-value pairs. Experiments on interactive and non-interactive benchmarks show improved success rates and reduced response length compared to existing approaches, with human studies indicating user preference for the proposed interaction style.
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- 2026-11-09T23:08:46.447Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
This paper introduces ProCompNav, a framework for agentic robots to resolve ambiguous navigation requests through proactive clarification. The method employs a two-stage process involving candidate pool construction and Recursive Comparative Judgment (RCJ), which iteratively narrows options using binary questions based on attribute-value pairs. Experiments on interactive and non-interactive benchmarks show improved success rates and reduced response length compared to existing approaches, with human studies indicating user preference for the proposed interaction style.
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