Humanoid robots navigate narrow gaps and obstacles with whole-body AI control
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18 hours ago In a recent paper posted to the arXiv preprint server, researchers at the University of California, Berkeley (UC Berkeley) and Princeton University introduced TANGO, an artificial intelligence vision-language robot navigation framework that could improve robot navigation in unpredictable real-world settings. The project was led by Anqi Li, with Yuxin Chen, Zhaobo Li, Zhuo Cao, Junli Ren and Masayoshi Tomizuka from UC Berkeley, in collaboration with Dhruv Shah at Princeton University.
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Published September 24, 2026
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