Research
Computational confidence is replacing structural hardening as the primary flight envelope metric
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The R&D center of gravity is shifting from passive material solutions toward software-defined resilience, where multimodal adaptive control and Edge AI quantify environmental confidence to adjust flight laws in real-time. While the portfolio maintains a foundation in structural materials—specifically polydicyclopentadiene (PDCPD) for lightweight, weather-resistant shells and high-flexibility TPU elastomer cables —recent patent activity is dominated by algorithmic reconstruction of situational awareness. Key mechanisms include multi-scale tensor decomposition for removing rain and fog from inspection images and multimodal adaptive control methods that utilize exponential decay to update confidence thresholds during sensor noise or data loss.
Based on
- A UAV shell based on PDCPD material and its preparation methodPatent · Jul 2026
- A high-flexibility TPU elastomer UAV weather-resistant cablePatent · May 2022
- A method and device for removing rain and fog from power UAV inspection imagesPatent · Apr 2025
- A method for UAV flight under adverse weather conditions based on multimodal adaptive controlPatent · Apr 2026
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