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The NavWareSet dataset is a comprehensive collection of data designed to advance the field of social navigation in robotics. It includes a wide range of scenarios involving both individual and group interactions, providing over 192 minutes of interaction data and more than 172 minutes of annotated trajectories. The dataset features sensory data from two different robots, 3D LiDAR scans from a stationary sensor, and video recordings from a static camera. Additionally, it includes occupancy grid maps of the environment and recordings of both socially compliant and non-compliant robot behaviors. This dataset aims to facilitate the development and evaluation of algorithms for socially aware navigation in complex environments.
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The NavWareSet dataset is a valuable resource for researchers and developers working on social navigation in robotics. It provides a rich set of data that can be used to train and evaluate algorithms for socially
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compliant navigation, enabling robots to navigate in environments with varying levels of human presence and interaction. The dataset's diverse scenarios and multi-modal recordings offer a comprehensive view of the challenges and opportunities in social navigation, making it an essential tool for advancing the state of the art in this field.
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