The authors built a model with two horizon-specific foresight predictors.
Dual-horizon foresight improves UAV navigation from language instructions
ForeFly predicts both near-term and route-critical future states to guide aerial vision-language navigation, outperforming reactive baselines.
Research Lab
Kunhui Wang · Xintong Zhang · Junyu Gao · Changsheng Xu
Institute of Automation, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Peng Cheng Laboratory · Duke Kunshan University
Research Digest··2 min read
The authors propose ForeFly, a dual-horizon latent world action model that forecasts both proximal and adaptive route-critical future states to aid UAV navigation from natural language.
Why this paper
From Institute of Automation, Chinese Academy of Sciences and 3 others · Released code
In one line
ForeFly predicts both proximal and route-critical futures to improve aerial navigation from language instructions.
What it released
Code
What we could check
- ✓Code link in the paper (github.com)
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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