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ContextGenerative Default Policy for Bounded Rational Agent
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Video Source: www.youtube.com/watch?v=Ial-EDNPSe0
In this video, we explore our robotics research on adaptive decision-making for bounded rational agents. Traditional static default policies can limit performance in unfamiliar settings, so we introduce a context-generative approach that predicts unobserved areas, allowing robots to adapt their strategies dynamically. Using diffusion models for map prediction and B-spline trajectory optimization, our method significantly outperforms baseline approaches in identifying and avoiding unseen obstacles. Watch as we showcase experiments with Crazyflie drones, demonstrating the adaptability of our approach in real-world scenarios. • Kindly Like, Share, and Subscribe to our channel for more updates on our research. • #CooperativeMotionPlanning #genai #drones #BoundedRationality #decisionmaking 🚀📹
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