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Planning under Uncertainty
Enhancing Decision-Making Efficacy for Collecting Critical Data in Target Environments
Information Gathering
In hard-to-access environments, operating a flying robot to monitor their conditions can be challenging and expensive for humans. Our advanced planning algorithms enable the robot to autonomously make efficient and robust decisions in dynamically changing environments. The data obtained through this process can be utilized for both real-time analysis and post-processing, contributing to an enhanced situational awareness.
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