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SACSoN Social Navigation

Human-aware indoor navigation

Indexed from an external sourceReal-worldUpdated 2023-06-02Open Source

Published by

UC Berkeley RAIL

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75 hours of autonomous navigation in busy university buildings with pedestrians in view, logging camera, LiDAR, odometry and actions plus human trajectories — collected to train socially compliant policies that minimise disruption to people.

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Per-episode numbers RobotData has indexed locally (camera count, DoF, control rate, success rate). "Not indexed yet" means we have not recorded that number — it does not mean the publisher's data lacks observations, state or actions. See the source-backed profile above for what the publisher documents.

Observation

2 cameras

State

2 DoF

Action

5 Hz

Result

Not indexed yet

Data modalities

● RGB Video○ Depth○ Joint Positions● Robot State● Actions○ Force/Torque○ Audio○ Language Instructions● LiDAR● IMU

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