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Shanghai Artificial Intelligence Laboratory, Affiliation:
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Explicitly estimating wind disturbance acceleration enables quadrotors to navigate cluttered environments with unprecedented robustness, achieving 90% success in real-world fan-induced flight tests.
LLMs and historical data can be combined to create a reusable knowledge base that slashes the cost of root cause analysis in complex cloud systems, improving accuracy by up to 48%.