2026
CoIN: Interactive Navigation With Counterfactual Reasoning via Vision–Language Models
Interactive navigation requires robots to actively modify cluttered environments to create traversable paths, going beyond passive obstacle avoidance. However, existing methods either depend on global maps and lack the reasoning capabilities to make interaction decisions from local observations, or are restricted to in...
Kang-Jie Zhou, Zhe-Jia Wen, Zhi-Yong Zhuo et al.
· IEEE Transactions on Automat... · 0 citations