Towards World Models for Robot Navigation
Autonomously navigating a robot with images as input presents a significant challenge in perception and planning. Images capture potentially important details, such as complex …
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Autonomously navigating a robot with images as input presents a significant challenge in perception and planning. Images capture potentially important details, such as complex …
Indoor localization and navigation are useful for users to find their way in complex buildings. In this project, we present an Hololens application to support indoor floorplan …
In reinforcement learning (RL) tasks, the agents have to explore their environments to find an optimal policy that maximizes the long-term discounted return based on a designated …