1 to 9 of 9 Results
Aug 24, 2026 -
Shutter Interaction Dataset
ZIP Archive - 192.6 MB -
MD5: 91f438a5bab3c9c9865f735c4fae01e5
|
Aug 24, 2026 -
Shutter Interaction Dataset
ZIP Archive - 211.6 MB -
MD5: 1fd32211fb3856e910b1c3c2c2ea2e67
|
Jan 11, 2025 -
Shutter Interaction Dataset
PNG Image - 210.2 KB -
MD5: b7a58ca1070a647838b81a0ddd750626
|
Jan 11, 2025 -
Shutter Interaction Dataset
PNG Image - 185.7 KB -
MD5: de22b1e6624857124be546e2e1229885
|
Jan 11, 2025 -
Shutter Interaction Dataset
Markdown Text - 2.6 KB -
MD5: 3996c1422f8bcb9bebb6db30dcb6cad6
|
Jan 8, 2025 -
Augmented ATC Trajectory Dataset
JSON - 3.8 KB -
MD5: 834cb73eca81d893bc80f96f58ba5649
Contains all annotations from Annotator 1 for which people intended to interact with the robot in each original ATC trajectory scene. |
Jan 8, 2025 -
Augmented ATC Trajectory Dataset
JSON - 3.7 KB -
MD5: b3e4e969e63158140d389d446358dfb3
Contains all annotations from Annotator 2 for which people intended to interact with the robot in each original ATC trajectory scene. |
Jan 8, 2025 -
Augmented ATC Trajectory Dataset
Markdown Text - 4.0 KB -
MD5: a2789761e060777c4eacbc05b6a9cf12
|
Jan 8, 2025
People Approaching Robots Database (PAR-D) PAR-D is a database containing two datasets about people approaching robots in public spaces: The Shutter Interaction Dataset Augmented labels for the ATC Trajectory Dataset - please additionally cite the original ATC Trajectory Dataset paper if using the augmented labels with the original data You can lea... |
