SCAND

Have you wondered how autonomous mobile robots should share space with humans in public spaces? Are you interested in developing autonomous mobile robots that can navigate within human crowds in a socially compliant manner? Do you want to analyze human reactions and behaviors in the presence of mobile robots of different morphologies?

If so, we introduce to you Socially CompliAnt Navigation Dataset (SCAND). Our dataset contains 25 miles and 8.7 hours of robot driven trajectories through a variety of social environments around the University of Texas at Austin campus.

Provide:

• 138 trajectories
• 15 days of social navigation data on 2 robots : A wheeled Clearpath Jackal and a legged Boston Dynamics Spot
• Indoor and outdoor environments @ UT Austin campus
• 2 highly crowded football game days (including a concert at the same time!)
• Mild to heavily crowded environments
• 4 different human demonstrators